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                    <title><![CDATA[ Latest from Tom's Hardware in Tensorflow ]]></title>
                <link>https://www.tomshardware.com/tag/tensorflow</link>
        <description><![CDATA[ All the latest tensorflow content from the Tom's Hardware team ]]></description>
                                    <lastBuildDate>Fri, 18 Aug 2023 18:59:33 +0000</lastBuildDate>
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                                                            <title><![CDATA[ $95 AMD CPU Becomes 16GB GPU to Run AI Software ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/dollar95-amd-cpu-becomes-16gb-gpu-to-run-ai-software</link>
                                                                            <description>
                            <![CDATA[ Redditor repurposed his Ryzen 5 4600G into a 16GB VRAM GPU to run Stable Diffusion. ]]>
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                                                                        <pubDate>Fri, 18 Aug 2023 18:59:33 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 08:40:43 +0000</updated>
                                                                                                                                            <category><![CDATA[CPUs]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                                                                                    <dc:creator><![CDATA[ Zhiye Liu ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/ctNMqLHz2U3dj65TY2Uj6H-1280-80.jpg">
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                                                            <title><![CDATA[ Raspberry Pi Weed Burning Robot Protects Your Garden ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/raspberry-pi-weed-burning-robot</link>
                                                                            <description>
                            <![CDATA[ Nathan from NathanBuildsDIY is using a Raspberry Pi to control unwanted weeds with the power of the sun. ]]>
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                                                                        <pubDate>Fri, 30 Jun 2023 14:10:56 +0000</pubDate>                                                                                                                                <updated>Thu, 30 Jan 2025 13:07:06 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi Projects]]></category>
                                                    <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Ash Hill ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/K4bqQKzYSX8CcsVodXHsDV-1280-80.jpg">
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                                                            <title><![CDATA[ Raspberry Pi Camera Uses Sound to Create Photos with AI ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/raspberry-pi-blind-camera-uses-sound</link>
                                                                            <description>
                            <![CDATA[ Diego Trujillo Pisanty is using a Raspberry Pi to power this blind camera that has no lens and relies on sound to generate an approximation of its surroundings for photos. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Sat, 03 Jun 2023 19:31:30 +0000</pubDate>                                                                                                                                <updated>Thu, 30 Jan 2025 13:07:10 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi Projects]]></category>
                                                    <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Ash Hill ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/dsKMwv7exYbmvekBhyLPgm-1280-80.jpg">
                                                            <media:credit><![CDATA[Diego Trujillo Pisanty]]></media:credit>
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                                                            <title><![CDATA[ Firefly Release Modular Rockchip RK3588 Mini PC ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/firefly-release-modular-rockchip-rk3588-mini-pc</link>
                                                                            <description>
                            <![CDATA[ Firefly announces two new RK3588-based mini PCs aimed squarely at AI and Internet of Things. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Tue, 11 Apr 2023 13:47:27 +0000</pubDate>                                                                                                                                <updated>Wed, 05 Feb 2025 13:50:46 +0000</updated>
                                                                                                                                            <category><![CDATA[Mini PCs]]></category>
                                                    <category><![CDATA[Desktops]]></category>
                                                                                                                    <dc:creator><![CDATA[ Les Pounder ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/ZmDaAFV8KbeyWZQfu6HzCn-1280-80.jpg">
                                                            <media:credit><![CDATA[Firefly]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Firefly Station Mini PCs]]></media:description>                                                            <media:text><![CDATA[Firefly Station Mini PCs]]></media:text>
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                                                            <title><![CDATA[ Google Has Developed Its Own Data Center Server Chips ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/google-reaches-self-developed-data-center-server-chip-milestone</link>
                                                                            <description>
                            <![CDATA[ Google has reached a development milestone in its Arm SoC for servers plans, and it is set to get the chips mass produced in 2024 for server rollouts in 2025. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Tue, 14 Feb 2023 14:52:52 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 08:59:55 +0000</updated>
                                                                                                                                            <category><![CDATA[CPUs]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                                                                                    <dc:creator><![CDATA[ Mark Tyson ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/yKn3Ndo47z66dqWGF27oA6-1280-80.jpg">
                                                            <media:credit><![CDATA[Google]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Google server SoC development]]></media:description>                                                            <media:text><![CDATA[Google server SoC development]]></media:text>
                                <media:title type="plain"><![CDATA[Google server SoC development]]></media:title>
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                                                            <title><![CDATA[ Raspberry Pi Cat Doorbell Listens for Meows ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/raspberry-pi-cat-doorbell</link>
                                                                            <description>
                            <![CDATA[ Tennis Smith has created a Raspberry Pi-powered doorbell that listens for his to meow before sending a notification text. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Sat, 20 Aug 2022 14:10:57 +0000</pubDate>                                                                                                                                <updated>Thu, 30 Jan 2025 13:07:09 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi Projects]]></category>
                                                    <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Ash Hill ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/E9i3LzwB3SnHuSYiVBvuZJ-1280-80.jpg">
                                                            <media:credit><![CDATA[Tennis Smith]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Raspberry Pi]]></media:description>                                                            <media:text><![CDATA[Raspberry Pi]]></media:text>
                                <media:title type="plain"><![CDATA[Raspberry Pi]]></media:title>
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                                <item>
                                                            <title><![CDATA[ Google Unveils 4th-Gen TPU Chips for Faster Machine Learning ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/google-unveils-next-gen-ai-chips</link>
                                                                            <description>
                            <![CDATA[ Google's V4 TPUs are faster, more energy efficient, and available in large numbers. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Wed, 11 May 2022 19:15:39 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 08:55:44 +0000</updated>
                                                                                                                                            <category><![CDATA[Artificial Intelligence]]></category>
                                                    <category><![CDATA[Tech Industry]]></category>
                                                                                                                    <dc:creator><![CDATA[ Ian Evenden ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/NSuts4RvQYTeQpFNzWeRqB-1280-80.jpg">
                                                            <media:credit><![CDATA[Google]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Google engineer Roger at the Oklahoma data center]]></media:description>                                                            <media:text><![CDATA[Google engineer Roger at the Oklahoma data center]]></media:text>
                                <media:title type="plain"><![CDATA[Google engineer Roger at the Oklahoma data center]]></media:title>
                                                    </media:content>
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                                <item>
                                                            <title><![CDATA[ Vizy Review: Raspberry Pi Computer Vision Made Simple ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/reviews/vizy-raspberry-pi-ai-camera</link>
                                                                            <description>
                            <![CDATA[ Starting at $259, Vizy provides a fun introduction to AI, machine learning and computer vision wrapped up in a bright green case. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Sat, 16 Apr 2022 11:00:16 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 12:57:18 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Les Pounder ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/9Ep6g4UNNMvPQutfJtyFBR-1280-80.jpg">
                                                            <media:credit><![CDATA[Tom&#039;s Hardware]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Vizy Smart Camera]]></media:description>                                                            <media:text><![CDATA[Vizy Smart Camera]]></media:text>
                                <media:title type="plain"><![CDATA[Vizy Smart Camera]]></media:title>
                                                    </media:content>
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                                                            <title><![CDATA[ Razer and Lambda’s Linux Laptop for Machine Learning Sure Is Pretty ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/razer-lambda-tensorbook-linux-machine-learning-laptop</link>
                                                                            <description>
                            <![CDATA[ Razer and Lambda's collaboration, the Tensorbook, is an expensive Linux notebook meant for machine learning projects. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Tue, 12 Apr 2022 21:01:43 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 10:06:21 +0000</updated>
                                                                                                                                            <category><![CDATA[Artificial Intelligence]]></category>
                                                    <category><![CDATA[Tech Industry]]></category>
                                                                                                                    <dc:creator><![CDATA[ Andrew E. Freedman ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/AT5NVLLY7Qn9er7ZpkWM7E-1280-80.jpg">
                                                            <media:credit><![CDATA[Lambda]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[A silver Lambda Tensorbook on a purple background.]]></media:description>                                                            <media:text><![CDATA[A silver Lambda Tensorbook on a purple background.]]></media:text>
                                <media:title type="plain"><![CDATA[A silver Lambda Tensorbook on a purple background.]]></media:title>
                                                    </media:content>
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                                                            <title><![CDATA[ Chinese Fenghua GPU Aims for GeForce RTX 3060 Compute Performance ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/Fenghua-fantasy-1-Xindong</link>
                                                                            <description>
                            <![CDATA[ The Xindong/Innosilicon Fenghua 1 GPU offers 10 TFLOPS FP32 and 50 TOPS INT8 performance, and on paper can match the RTX 3060. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Wed, 22 Dec 2021 19:21:37 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 12:44:24 +0000</updated>
                                                                                                                                            <category><![CDATA[GPUs]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                                                                <author><![CDATA[ ashilov@gmail.com (Anton Shilov) ]]></author>                    <dc:creator><![CDATA[ Anton Shilov ]]></dc:creator>                                                                                                    <media:content type="image/png" url="https://cdn.mos.cms.futurecdn.net/N4vKX3VTZksZCQph5fSthS-1280-80.png">
                                                            <media:credit><![CDATA[Innosilicon]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Innosilicon]]></media:description>                                                            <media:text><![CDATA[Innosilicon]]></media:text>
                                <media:title type="plain"><![CDATA[Innosilicon]]></media:title>
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                                                            <title><![CDATA[ Raspberry Pi Pico Drives Mario Kart 64 Machine Learning Project ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/raspberry-pi-pico-mario-kart-self-driving</link>
                                                                            <description>
                            <![CDATA[ An AI plays Mario Kart 64 on original hardware in this hack from Stacksmashing. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Wed, 24 Nov 2021 12:59:33 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 10:09:39 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi Pico]]></category>
                                                    <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Ian Evenden ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/thDdciokQsGLJEdH4txx8D-1280-80.jpg">
                                                            <media:credit><![CDATA[Stacksmashing]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[An overview of the equipment used]]></media:description>                                                            <media:text><![CDATA[An overview of the equipment used]]></media:text>
                                <media:title type="plain"><![CDATA[An overview of the equipment used]]></media:title>
                                                    </media:content>
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                                <item>
                                                            <title><![CDATA[ Raspberry Pi AI Puts the Trash Out ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/raspberry-pi-ai-trash-sorter</link>
                                                                            <description>
                            <![CDATA[ Using a Raspberry Pi 4 and a TensorFlow model this project sorts the recyclables from your trash to help us all be a little greener. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Mon, 22 Nov 2021 16:07:44 +0000</pubDate>                                                                                                                                <updated>Tue, 28 Jan 2025 14:48:04 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi Projects]]></category>
                                                    <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Ian Evenden ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/DNySPGnchc6Kewtgh7WuHD-1280-80.jpg">
                                                            <media:credit><![CDATA[Hackster / Team Techsquare]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Team Techsquare&#039;s Raspberry Pi 4 powered AI trash sorter]]></media:description>                                                            <media:text><![CDATA[Team Techsquare&#039;s Raspberry Pi 4 powered AI trash sorter]]></media:text>
                                <media:title type="plain"><![CDATA[Team Techsquare&#039;s Raspberry Pi 4 powered AI trash sorter]]></media:title>
                                                    </media:content>
                                                    <media:thumbnail url="https://cdn.mos.cms.futurecdn.net/DNySPGnchc6Kewtgh7WuHD-1280-80.jpg" />
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                                                            <title><![CDATA[ Raspberry Pi Compute Module 4 Powers New PiCam Carrier Board ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/raspberry-pi-computer-module-4-picam-carrier-board</link>
                                                                            <description>
                            <![CDATA[ A new board from Ledato allows direct connection of a Raspberry Pi Camera to a Compute Module 4 in a much smaller form factor. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Wed, 27 Oct 2021 12:11:25 +0000</pubDate>                                                                                                                                <updated>Thu, 30 Jan 2025 13:07:05 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Ian Evenden ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/bLfseig6qsUonVa9m36Qf3-1280-80.jpg">
                                                            <media:credit><![CDATA[Adafruit]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[The Adafruit camera module]]></media:description>                                                            <media:text><![CDATA[The Adafruit camera module]]></media:text>
                                <media:title type="plain"><![CDATA[The Adafruit camera module]]></media:title>
                                                    </media:content>
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                                                            <title><![CDATA[ Google's Pixel 6 Will Boast 'Tensor' SoC Built for ML and AI ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/google-reveals-tensor-soc-pixel-6-lineup</link>
                                                                            <description>
                            <![CDATA[ Google announced that its new Pixel 6 and Pixel 6 Pro smartphones will feature its custom Tensor system on a chip. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Mon, 02 Aug 2021 18:02:33 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 08:43:09 +0000</updated>
                                                                                                                                            <category><![CDATA[CPUs]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                                                                                    <dc:creator><![CDATA[ Nathaniel Mott ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/fJ2Kz8YAkE6wpFrfSC3bdC-1280-80.jpg">
                                                            <media:credit><![CDATA[Google]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Google Tensor SoC]]></media:description>                                                            <media:text><![CDATA[Google Tensor SoC]]></media:text>
                                <media:title type="plain"><![CDATA[Google Tensor SoC]]></media:title>
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                                                            <title><![CDATA[ This Raspberry Pi Project is Good For You ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/raspberry-pi-barcode-scanning-nutritional</link>
                                                                            <description>
                            <![CDATA[ Kutluhan Aktar is at it again with another Raspberry Pi project, this time using TensorFlow to analyze nutrient profiles for food. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Mon, 05 Jul 2021 17:01:37 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 12:56:48 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi Projects]]></category>
                                                    <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Ash Hill ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/p2tnJQKSGYbwYVn95b6Maa-1280-80.jpg">
                                                            <media:credit><![CDATA[Kutluhan Aktar]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Raspberry Pi]]></media:description>                                                            <media:text><![CDATA[Raspberry Pi]]></media:text>
                                <media:title type="plain"><![CDATA[Raspberry Pi]]></media:title>
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                                                            <title><![CDATA[ A.I. For Raspberry Pi Pico: Uctronics TinyML Learning Kit Review ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/reviews/ai-for-raspberry-pi-pico-uctronics-tinyml-learning-kit-review</link>
                                                                            <description>
                            <![CDATA[ Adding machine learning to your Raspberry Pi Pico projects has just become easier with an all in one kit that will have you detecting people in no time. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Mon, 12 Apr 2021 21:08:29 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 12:52:35 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi Pico]]></category>
                                                    <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Les Pounder ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/SccYWWHB5awmcvjD5XY5uG-1280-80.jpg">
                                                            <media:credit><![CDATA[Tom&#039;s Hardware]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Uctronics TinyML Learning Kit]]></media:description>                                                            <media:text><![CDATA[Uctronics TinyML Learning Kit]]></media:text>
                                <media:title type="plain"><![CDATA[Uctronics TinyML Learning Kit]]></media:title>
                                                    </media:content>
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                                                            <title><![CDATA[ New Algorithm Makes CPUs 15 Times Faster Than GPUs in Some AI Work ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/cpu-vs-gpu-ai-performance-uplift-with-optimizations</link>
                                                                            <description>
                            <![CDATA[ AVX512 and AVX512_BF16 can work wonders for AI. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Sat, 10 Apr 2021 22:52:49 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 12:55:06 +0000</updated>
                                                                                                                                            <category><![CDATA[CPUs]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                                                                <author><![CDATA[ ashilov@gmail.com (Anton Shilov) ]]></author>                    <dc:creator><![CDATA[ Anton Shilov ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/o6R5GnN6o45NnzVBuhB2DJ-1280-80.jpg">
                                                            <media:credit><![CDATA[Intel]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Intel]]></media:description>                                                            <media:text><![CDATA[Intel]]></media:text>
                                <media:title type="plain"><![CDATA[Intel]]></media:title>
                                                    </media:content>
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                                                            <title><![CDATA[ Pico4ML Brings Machine Learning To the Raspberry Pi Pico ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/pico4ml-brings-machine-learning-to-the-raspberry-pi-pico</link>
                                                                            <description>
                            <![CDATA[ The Pico4ML is the same size as a Raspberry Pi Pico, but we get  an onboard screen, microphone and camera for AI and machine learning projects. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Wed, 10 Mar 2021 16:37:52 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 12:43:27 +0000</updated>
                                                                                                                                            <category><![CDATA[Artificial Intelligence]]></category>
                                                    <category><![CDATA[Tech Industry]]></category>
                                                                                                                    <dc:creator><![CDATA[ Les Pounder ]]></dc:creator>                                                                                                    <media:content type="image/png" url="https://cdn.mos.cms.futurecdn.net/9gNBW2HAoZuvdT2z8EGYGU-1280-80.png">
                                                            <media:credit><![CDATA[Arducam]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Pico4ML]]></media:description>                                                            <media:text><![CDATA[Pico4ML]]></media:text>
                                <media:title type="plain"><![CDATA[Pico4ML]]></media:title>
                                                    </media:content>
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                                                            <title><![CDATA[ Raspberry Pi Cat Detector Gun Scans for Felines ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/raspberry-pi-cat-detecting-gun</link>
                                                                            <description>
                            <![CDATA[ This maker is using an old IR thermometer as housing for a Tensorflow-powered Cat detecting gun. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Thu, 04 Mar 2021 16:33:34 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 08:44:22 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi Projects]]></category>
                                                    <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Ash Hill ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/fazTxPqcXgq6mPnznKXkhC-1280-80.jpg">
                                                            <media:credit><![CDATA[Niklas Fauth]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Raspberry Pi]]></media:description>                                                            <media:text><![CDATA[Raspberry Pi]]></media:text>
                                <media:title type="plain"><![CDATA[Raspberry Pi]]></media:title>
                                                    </media:content>
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                                                            <title><![CDATA[ Techbase Reveals Raspberry Pi Powered AI Gateway ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/raspberry-pi-compute-module-4-ai-gateway</link>
                                                                            <description>
                            <![CDATA[ Featuring the Raspberry Pi Compute Module 4 and a Google Coral Edge TPU, this industrial-focused board is designed to add AI and machine learning to industrial projects. ]]>
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                                                                        <pubDate>Tue, 08 Dec 2020 15:10:13 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 09:48:42 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Les Pounder ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/SPxihvTtz8AoHTQ5voNVhX-1280-80.jpg">
                                                            <media:credit><![CDATA[Techbase]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[ModBerry AI GATEWAY 9500-CM4]]></media:description>                                                            <media:text><![CDATA[ModBerry AI GATEWAY 9500-CM4]]></media:text>
                                <media:title type="plain"><![CDATA[ModBerry AI GATEWAY 9500-CM4]]></media:title>
                                                    </media:content>
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                                                            <title><![CDATA[ Adafruit Making Machine Learning USB Stick for Raspberry Pi ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/adafruit-to-release-machine-learning-usb-stick-for-raspberry-pi</link>
                                                                            <description>
                            <![CDATA[ A TPU used to augment the machine learning processing power of the humble Raspberry Pi 4. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Wed, 02 Dec 2020 18:05:04 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 10:11:54 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi HATs]]></category>
                                                    <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Les Pounder ]]></dc:creator>                                                                                                    <media:content type="image/png" url="https://cdn.mos.cms.futurecdn.net/kNiUbN8Fi88d9B27MqniHj-1280-80.png">
                                                            <media:credit><![CDATA[Adafruit]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Adafruit Coral TPU USB Stick]]></media:description>                                                            <media:text><![CDATA[Adafruit Coral TPU USB Stick]]></media:text>
                                <media:title type="plain"><![CDATA[Adafruit Coral TPU USB Stick]]></media:title>
                                                    </media:content>
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                                                            <title><![CDATA[ SolidRun Aims to 'Dethrone' Raspberry Pi With i.MX8M Plus  ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/solidrun-aims-to-dethrone-raspberry-pi-with-imx8m-plus-</link>
                                                                            <description>
                            <![CDATA[ The i.MX8M Plus is designed for machine learning could possible outperform the Raspberry Pi 4 ]]>
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                                                                        <pubDate>Thu, 19 Nov 2020 16:41:39 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 08:58:25 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Les Pounder ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/PsFTUGihegNKSqnigC53L9-1280-80.jpg">
                                                            <media:credit><![CDATA[SolidRun]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[i.MX8m Plus]]></media:description>                                                            <media:text><![CDATA[i.MX8m Plus]]></media:text>
                                <media:title type="plain"><![CDATA[i.MX8m Plus]]></media:title>
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                                                            <title><![CDATA[ How to Build a Face Mask Detector with Raspberry Pi ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/how-to/raspberry-pi-face-mask-detector</link>
                                                                            <description>
                            <![CDATA[ Your Raspberry Pi can detect if you are wearing a face mask or not. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Sat, 31 Oct 2020 12:00:42 +0000</pubDate>                                                                                                                                <updated>Wed, 05 Feb 2025 14:49:54 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Caroline Dunn ]]></dc:creator>                                                                                                    <media:content type="image/gif" url="https://cdn.mos.cms.futurecdn.net/g9tbagckUipVf6EKncV7rA-1280-80.gif">
                                                            <media:credit><![CDATA[Tom&#039;s Hardware]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Face Mask Detector]]></media:description>                                                            <media:text><![CDATA[Face Mask Detector]]></media:text>
                                <media:title type="plain"><![CDATA[Face Mask Detector]]></media:title>
                                                    </media:content>
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                                                            <title><![CDATA[ How to Train your Raspberry Pi for Facial Recognition ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/how-to/raspberry-pi-facial-recognition</link>
                                                                            <description>
                            <![CDATA[ Train your Raspberry Pi to recognize you and members of your family and receive email notifications when someone is identified. ]]>
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                                                                        <pubDate>Sun, 18 Oct 2020 12:00:38 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 12:51:23 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi Projects]]></category>
                                                    <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Caroline Dunn ]]></dc:creator>                                                                                                    <media:content type="image/png" url="https://cdn.mos.cms.futurecdn.net/BeijJugXWgYzTtpDrZmkN4-1280-80.png">
                                                            <media:credit><![CDATA[Tom&#039;s Hardware]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Raspberry Pi Facial Recognition]]></media:description>                                                            <media:text><![CDATA[Raspberry Pi Facial Recognition]]></media:text>
                                <media:title type="plain"><![CDATA[Raspberry Pi Facial Recognition]]></media:title>
                                                    </media:content>
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                                                            <title><![CDATA[ Vizy: Multi-purpose AI camera For Raspberry Pi 4 ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/vizy-multipurpose-ai-camera-for-raspberry-pi-4</link>
                                                                            <description>
                            <![CDATA[ A Raspberry Pi 4 powered AI camera for data science, physics, astronomy and keeping your pet company. ]]>
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                                                                        <pubDate>Mon, 05 Oct 2020 14:20:11 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 10:07:40 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Les Pounder ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/yZHoLEpX8FmQCD2T8ci2JF-1280-80.jpg">
                                                            <media:credit><![CDATA[Charmed Labs]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Vizy from Charmed Labs]]></media:description>                                                            <media:text><![CDATA[Vizy from Charmed Labs]]></media:text>
                                <media:title type="plain"><![CDATA[Vizy from Charmed Labs]]></media:title>
                                                    </media:content>
                                                    <media:thumbnail url="https://cdn.mos.cms.futurecdn.net/yZHoLEpX8FmQCD2T8ci2JF-1280-80.jpg" />
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                                                            <title><![CDATA[ Enhance Your Predator Cosplay With This Raspberry Pi Face Tracking Blaster ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/enhance-your-predator-cosplay-with-this-raspberry-pi-face-tracking-blaster</link>
                                                                            <description>
                            <![CDATA[ This maker decided to use a Nerf blaster gun as the housing for a Predator inspired Raspberry Pi shoulder cannon. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Wed, 30 Sep 2020 16:46:37 +0000</pubDate>                                                                                                                                <updated>Thu, 30 Jan 2025 13:07:10 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi Projects]]></category>
                                                    <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Ash Hill ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/QQwaEimWpEpmdRUXC8a9m-1280-80.jpg">
                                                            <media:credit><![CDATA[Engineering After Hours]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Engineering After Hours]]></media:description>                                                            <media:text><![CDATA[Engineering After Hours]]></media:text>
                                <media:title type="plain"><![CDATA[Engineering After Hours]]></media:title>
                                                    </media:content>
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                                                            <title><![CDATA[ Raspberry Pi Scans Cats for Caught Prey ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/raspberry-pi-scans-cats-for-caught-prey</link>
                                                                            <description>
                            <![CDATA[ This Raspberry Pi project uses Tensorflow for image recognition, checking to see if cats have any captured prey in their mouth. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Wed, 16 Sep 2020 17:18:28 +0000</pubDate>                                                                                                                                <updated>Thu, 30 Jan 2025 13:07:05 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi Projects]]></category>
                                                    <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Ash Hill ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/gjTtyPwbeeo4Kg3rYcpZxm-1280-80.jpg">
                                                            <media:credit><![CDATA[Eee_bume]]></media:credit>
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                                                            <title><![CDATA[ Hailo Raises $60 Million for 26 TOPS Edge AI Chip ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/hailo-raises-dollar60-million-for-26-tops-edge-ai-chip</link>
                                                                            <description>
                            <![CDATA[ Startup Hailo has raised $60 million in a series B funding for its Halio-8. The AI edge inference chip has 26 TOPS and is aimed at a variety of IoT applications. ]]>
                                                                                                            </description>
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                                                                        <pubDate>Fri, 06 Mar 2020 15:02:21 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 09:49:13 +0000</updated>
                                                                                                                                            <category><![CDATA[CPUs]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                                                                                    <dc:creator><![CDATA[ Arne Verheyde ]]></dc:creator>                                                                                                    <media:content type="image/png" url="https://cdn.mos.cms.futurecdn.net/bdGxrvSqk99CbnLvMFPnGd-1280-80.png">
                                                            <media:credit><![CDATA[Halio]]></media:credit>
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                                                            <title><![CDATA[ Breakthrough DL Training Algorithm on Intel Xeon CPU System Outperforms Volta GPU By 3.5x ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/breakthrough-dl-training-algorithm-on-intel-xeon-cpu-system-outperforms-8-volta-gpus-by-35x</link>
                                                                            <description>
                            <![CDATA[ The new code speeds up AI training on processors. ]]>
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                                                                        <pubDate>Thu, 05 Mar 2020 14:00:24 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 12:53:15 +0000</updated>
                                                                                                                                            <category><![CDATA[CPUs]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                                                                                    <dc:creator><![CDATA[ Arne Verheyde ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/UL2TnVTewZJiXXQrPWdGYW-1280-80.jpg">
                                                            <media:credit><![CDATA[Intel]]></media:credit>
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                                                            <title><![CDATA[ Arduino Releasing Small but Powerful Portenta H7 Module for Low-Power Projects ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/arduino-portenta-h7-module-iot-ces</link>
                                                                            <description>
                            <![CDATA[ Arduino introduced at CES the Portenta H7 with dual-core Arm Cortex-M7 and Cortex-M4 processors. It targets applications that require a decent amount of computing power but have tight power constraints. ]]>
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                                                                        <pubDate>Tue, 07 Jan 2020 15:00:08 +0000</pubDate>                                                                                                                                <updated>Thu, 30 Jan 2025 13:07:11 +0000</updated>
                                                                                                                                            <category><![CDATA[Microcontrollers]]></category>
                                                    <category><![CDATA[Maker and STEM]]></category>
                                                                                                                    <dc:creator><![CDATA[ Scharon Harding ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/BUafUWJzh2bNzxZsajTwwg-1280-80.jpg">
                                                            <media:credit><![CDATA[Arduino]]></media:credit>
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                                                            <title><![CDATA[ Asus Hooks Up With Google to Create Tinker Board for AI ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/asus-tinker-edge-r-t-google-edge-ai</link>
                                                                            <description>
                            <![CDATA[ Asus is showing off two single-board computers for AI processing. The Tinker Edge T uses Google's Edge TPU, while the Tinker Edge R uses a Rockhip NPU. ]]>
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                                                                        <pubDate>Wed, 13 Nov 2019 16:41:18 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 08:55:53 +0000</updated>
                                                                                                                                            <category><![CDATA[Raspberry Pi]]></category>
                                                                                                                    <dc:creator><![CDATA[ Zhiye Liu ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/qAa8g7MNfGo3K9qgCJNBHY-1280-80.jpg">
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                                                                                                                                                                        <media:description><![CDATA[Asus Tinker Edge R]]></media:description>                                                            <media:text><![CDATA[Asus Tinker Edge R]]></media:text>
                                <media:title type="plain"><![CDATA[Asus Tinker Edge R]]></media:title>
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                                                            <title><![CDATA[ Intel Discontinues First-Generation Movidius Neural Compute Stick ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/intel-discontinues-neural-compute-stick,39248.html</link>
                                                                            <description>
                            <![CDATA[ Intel will discontinue the sale of the first-generation Neural Compute Stick. The company encouraged developers to switch to the second-generation NCS and the open source OpenVINO toolkit. ]]>
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                                                                        <pubDate>Fri, 03 May 2019 20:05:00 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 10:10:37 +0000</updated>
                                                                                                                                            <category><![CDATA[Mini PCs]]></category>
                                                    <category><![CDATA[Desktops]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/wp3MKTWckYvXjU5UREBPZS-1280-80.jpg">
                                                            <media:credit><![CDATA[Intel]]></media:credit>
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                                                            <title><![CDATA[ Qualcomm Announces Inference Accelerator Cloud AI 100 for Data Center ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/qualcomm-inference-cloud-ai-100,39020.html</link>
                                                                            <description>
                            <![CDATA[ Qualcomm revealed the initial details of its cloud 7nm Cloud AI inference processor, saying it will deliver a 10x performance increase over competing devices. ]]>
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                                                                        <pubDate>Tue, 09 Apr 2019 16:30:00 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 12:56:38 +0000</updated>
                                                                                                                                            <category><![CDATA[Artificial Intelligence]]></category>
                                                    <category><![CDATA[Tech Industry]]></category>
                                                                                                                    <dc:creator><![CDATA[ Arne Verheyde ]]></dc:creator>                                                                                                    <media:content type="image/png" url="https://cdn.mos.cms.futurecdn.net/FujYcDMHgAqV8HtoKD4GN5-1280-80.png">
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                                                            <title><![CDATA[ Google's Edge TPU Machine Learning Chip Debuts in Raspberry Pi-Like Dev Board ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/google-edge-tpu-coral-dev-board-usb-accelerator,38750.html</link>
                                                                            <description>
                            <![CDATA[ Google launched its Coral dev board and USB Accelerator with embedded Edge TPUs, promising a large boost in machine learning inference performance for all IoT devices that integrate them. ]]>
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                                                                        <pubDate>Tue, 05 Mar 2019 17:34:02 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 10:07:37 +0000</updated>
                                                                                                                                            <category><![CDATA[Artificial Intelligence]]></category>
                                                    <category><![CDATA[Tech Industry]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/8LjeYkEBQ5ukqmSdf9fA8A-1280-80.jpg">
                                                            <media:credit><![CDATA[Google]]></media:credit>
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                                                            <title><![CDATA[ AMD, Xilinx Claim World Record for Machine Learning Inference ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/amd-xilinx-machine-learning-inference-record,37885.html</link>
                                                                            <description>
                            <![CDATA[ AMD and Xilinx put Intel and Nvidia on notice with a new data center system that beat the world record for machine learning inference. ]]>
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                                                                        <pubDate>Wed, 03 Oct 2018 19:50:02 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 08:45:23 +0000</updated>
                                                                                                                                            <category><![CDATA[Artificial Intelligence]]></category>
                                                    <category><![CDATA[Tech Industry]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/ERvsjWVHGK86thqLbxxUgV-1280-80.jpg">
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                                                            <title><![CDATA[ Move Over GPUs: Startup's Chip Claims to Do Deep Learning Inference Better ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/habana-inference-goya-custom-chip,37821.html</link>
                                                                            <description>
                            <![CDATA[ Habana Labs, a new AI chip startup, promises to deliver much higher inference performance than even a machine learning-optimized GPU. ]]>
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                                                                        <pubDate>Wed, 19 Sep 2018 21:08:02 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 10:07:11 +0000</updated>
                                                                                                                                            <category><![CDATA[GPUs]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/oB9VKcH3ur4DergE5tKDWJ-1280-80.jpg">
                                                            <media:credit><![CDATA[Habana]]></media:credit>
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                                                            <title><![CDATA[ Nvidia Announces Tesla T4 GPUs With Turing Architecture ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/nvidia-tesla-t4-turing-gpu,37788.html</link>
                                                                            <description>
                            <![CDATA[ Nvidia CEO Jensen Huang unveiled the new Tesla T4 GPU with the Turing architecture at GTC Japan. ]]>
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                                                                        <pubDate>Thu, 13 Sep 2018 02:10:00 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 12:41:59 +0000</updated>
                                                                                                                                            <category><![CDATA[GPUs]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                                                                <author><![CDATA[ palcorn@outlook.com (Paul Alcorn) ]]></author>                    <dc:creator><![CDATA[ Paul Alcorn ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/H7C2CSqp88txxhqtJv3CxY-1280-80.jpg">
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                                                            <title><![CDATA[ Rockchip Launches Its Own 2.4 TOPS Embedded AI Chip ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/rockchip-rk3399pro-ai-chip,36270.html</link>
                                                                            <description>
                            <![CDATA[ Rockchip announces its new AI-focused RK3399Pro SoC, which an embedded AI performance of up to 2.4 trillion operations per second. ]]>
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                                                                        <pubDate>Mon, 08 Jan 2018 16:35:00 +0000</pubDate>                                                                                                                                <updated>Thu, 30 Jan 2025 13:07:08 +0000</updated>
                                                                                                                                            <category><![CDATA[Manufacturing]]></category>
                                                    <category><![CDATA[Tech Industry]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/aEPnBZGtdtjnFRQCtojEKV-1280-80.jpg">
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                                                            <title><![CDATA[ CEVA’s NeuPro Chips Promise Up To 12.5 TOPS Embedded AI Performance ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/ceva-neupro-embedded-ai-chips,36235.html</link>
                                                                            <description>
                            <![CDATA[ CEVA announced the new NeuPro AI processors for embedded devices ranging from wearables to connected cars, with a performance starting at 2 TOPS and reaching 12.5 TOPS. ]]>
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                                                                        <pubDate>Fri, 05 Jan 2018 22:00:00 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 12:53:51 +0000</updated>
                                                                                                                                            <category><![CDATA[CPUs]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/k8jj7nfHUhLnKD5Y2PDkn9-1280-80.jpg">
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                                                            <title><![CDATA[ TensorFlow Lite Brings Low-Latency Inference To Mobile Devices ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/tensorflow-lite-inference-mobile-iot,35935.html</link>
                                                                            <description>
                            <![CDATA[ Google announced TensorFlow Lite, a lighter-weight version of the TensorFlow software framework and a successor to TensorFlow Mobile that's more efficient on mobile and embedded devices. ]]>
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                                                                        <pubDate>Wed, 15 Nov 2017 17:00:00 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 08:41:39 +0000</updated>
                                                                                                                                            <category><![CDATA[Phones]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/V8fWKCF2NriHQvYi9G3tGd-1280-80.jpg">
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                                                            <title><![CDATA[ Nvidia Tech Radically Improves AI Inferencing Efficiency ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/nvidia-ai-technology-improves-efficiency,35548.html</link>
                                                                            <description>
                            <![CDATA[ Nvidia revealed the third generation of its TensorRT AI inferencing software, the DeepStream video analytics platform, and the ninth generation of Nvidia’s CUDA technology. ]]>
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                                                                        <pubDate>Tue, 26 Sep 2017 18:20:00 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 10:07:11 +0000</updated>
                                                                                                                                            <category><![CDATA[GPUs]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                                                                                    <dc:creator><![CDATA[ Kevin Carbotte ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/iRpMT5AmATQDqparzrpYcM-1280-80.jpg">
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                                                            <title><![CDATA[ Nvidia Announces Partnership To Accelerate Machine Learning-Optimized Server Deployment ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/nvidia-top-manufacturers-hgx-1-partnership,34544.html</link>
                                                                            <description>
                            <![CDATA[ Nvidia announced a new partnership with top-ranking server manufacturers such as Foxconn, Inventec, Quanta and Wistron that aims to accelerate the development of HGX-1 server enclosures and their deployment in machine learning-focused data centers. ]]>
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                                                                        <pubDate>Tue, 30 May 2017 04:30:00 +0000</pubDate>                                                                                                                                <updated>Tue, 16 Sep 2025 13:28:25 +0000</updated>
                                                                                                                                            <category><![CDATA[Artificial Intelligence]]></category>
                                                    <category><![CDATA[Tech Industry]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/khHJLbKSAjSrtocvYyX8Hj-1280-80.jpg">
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                                                            <title><![CDATA[ Google Bakes Machine Learning Into Android O With TensorFlow Lite, New Framework ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/machine-learning-android-tensorflow-lite,34452.html</link>
                                                                            <description>
                            <![CDATA[ This could lead to better speech recognition, computer vision, and other machine learning-driven features within Android, and it highlights tech companies' rush to bring AI down from their data centers and onto all of your devices. ]]>
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                                                                        <pubDate>Thu, 18 May 2017 15:50:00 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 08:56:50 +0000</updated>
                                                                                                                                            <category><![CDATA[Artificial Intelligence]]></category>
                                                    <category><![CDATA[Tech Industry]]></category>
                                                                                                                    <dc:creator><![CDATA[ Nathaniel Mott ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/nHVFUTcjBUoEwuytkdkDZZ-1280-80.jpg">
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                                                            <title><![CDATA[ Google's 'Cloud TPU' Does Both Training And Inference, Already 50% Faster Than Nvidia Tesla V100 ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/google-cloud-tpu-training-inference,34441.html</link>
                                                                            <description>
                            <![CDATA[ At Google I/O 2017, Google revealed its next-generation Tensor Processing Unit, called the Cloud TPU. The chip is able to perform both training and inference computation, unlike the first generation TPU, and it has much higher performance. ]]>
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                                                                        <pubDate>Wed, 17 May 2017 19:35:00 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 10:07:01 +0000</updated>
                                                                                                                                            <category><![CDATA[Chipsets]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                    <category><![CDATA[Motherboards]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/AYDNyS3w6SfkGjjDfnEdQk-1280-80.jpg">
                                                            <media:credit><![CDATA[Google]]></media:credit>
                                                                                                                                                                                                                                    <media:description><![CDATA[Google TPU]]></media:description>                                                            <media:text><![CDATA[Google TPU]]></media:text>
                                <media:title type="plain"><![CDATA[Google TPU]]></media:title>
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                                                            <title><![CDATA[ On Tensors, Tensorflow, And Nvidia's Latest 'Tensor Cores' ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/nvidia-tensor-core-tesla-v100,34384.html</link>
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                            <![CDATA[ Nvidia follows Google with an accelerator that maximizes deep learning performance by optimizing for tensor calculations. ]]>
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                                                                        <pubDate>Thu, 11 May 2017 19:30:00 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 12:53:30 +0000</updated>
                                                                                                                                            <category><![CDATA[GPUs]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                    <media:content type="image/png" url="https://cdn.mos.cms.futurecdn.net/nsHwvbG2w5m8VoJGoSVVya-1280-80.png">
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                                                            <title><![CDATA[ Google's Machine Learning Chip Is Up To 30x Faster, 80x More Efficient Than CPUs And GPUs ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/google-tpu-comparison-haswell-k80,34069.html</link>
                                                                            <description>
                            <![CDATA[ Google revealed more details about its first machine learning chip, the Tensor Processing Unit (TPU). According to Google, the chip has 15-30x higher inference performance than a Haswell CPU and an Nvidia Tesla K80 GPU, and it is 40-80x more efficient. ]]>
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                                                                        <pubDate>Wed, 05 Apr 2017 21:30:00 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 09:48:10 +0000</updated>
                                                                                                                                            <category><![CDATA[Chipsets]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                    <category><![CDATA[Motherboards]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                    <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/rBGjLeZoDtBSf66h7yQvMh-1280-80.jpg">
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                                                            <title><![CDATA[ Google Accelerating Video Understanding Research With 'YouTube-8M' Dataset ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/google-youtube-8m-video-understanding-research,32773.html</link>
                                                                            <description>
                            <![CDATA[ Google released the YouTube-8M video dataset containing data from over 500,000 videos to accelerate research for video understanding. ]]>
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                                                                        <pubDate>Wed, 28 Sep 2016 21:40:00 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 08:42:19 +0000</updated>
                                                                                                                                            <category><![CDATA[Streaming]]></category>
                                                    <category><![CDATA[Service Providers]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                    <media:content type="image/png" url="https://cdn.mos.cms.futurecdn.net/rEFtzcEGek7Buoh35BkXUN-1280-80.png">
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                                                            <title><![CDATA[ Google Translate Boasts Near-Human Accuracy Levels With New Neural Network-Powered System ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/google-neural-machine-translation-system,32763.html</link>
                                                                            <description>
                            <![CDATA[ Google announced its new Google Neural Machine Translation system for Google Translate, which reduces errors by 55-85% for several language pairs, achieving almost human level performance. ]]>
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                                                                        <pubDate>Tue, 27 Sep 2016 21:00:00 +0000</pubDate>                                                                                                                                <updated>Thu, 30 Jan 2025 13:07:07 +0000</updated>
                                                                                                                                            <category><![CDATA[Applications]]></category>
                                                    <category><![CDATA[Software]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                    <media:content type="image/png" url="https://cdn.mos.cms.futurecdn.net/rkEzqaShyLkXTcgktrVtA6-1280-80.png">
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                                                            <title><![CDATA[ Google Brain AMA: DeepMind Collaboration, Healthcare Progress, Differential Privacy, And More ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/google-brain-ama-deepmind-privacy,32458.html</link>
                                                                            <description>
                            <![CDATA[ Google's in-house machine learning team, Google Brain, answered Reddit users's question on a recent AMA, unveiling collaboration with the DeepMind team, thoughts on quantum computing, early work on differential privacy, and more. ]]>
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                                                                                                                            <pubDate>Fri, 12 Aug 2016 11:00:00 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 08:43:26 +0000</updated>
                                                                                                                                            <category><![CDATA[Artificial Intelligence]]></category>
                                                    <category><![CDATA[Tech Industry]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                </item>
                                <item>
                                                            <title><![CDATA[ Ceva's Improved Deep Learning Software Framework Now Supports TensorFlow For Embedded Systems ]]></title>
                                                                                                                                                                                                <link>https://www.tomshardware.com/news/ceva-cdnn2-tensorflow-embedded-systems,32158.html</link>
                                                                            <description>
                            <![CDATA[ Ceva, a licensor of signal processing IP, announced that its new deep neural network software library brings major new improvements as well as support for Google's TensorFlow machine learning library for embedded systems. ]]>
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                                                                        <pubDate>Mon, 27 Jun 2016 16:15:00 +0000</pubDate>                                                                                                                                <updated>Thu, 21 Aug 2025 09:00:04 +0000</updated>
                                                                                                                                            <category><![CDATA[Chipsets]]></category>
                                                    <category><![CDATA[PC Components]]></category>
                                                    <category><![CDATA[Motherboards]]></category>
                                                                                                                    <dc:creator><![CDATA[ Lucian Armasu ]]></dc:creator>                                                                                                    <media:content type="image/png" url="https://cdn.mos.cms.futurecdn.net/sGEQ3NhH62D3SjTCHxzfm6-1280-80.png">
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