ECS announced plans to update four of its existing PCs with Intel Kaby Lake and Apollo Lake processors later this year.
Google announced that it has been working on designing a Tensor Processing Unit for the past few years, and has already used TPUs for over a year to power its applications and the AlphaGo AI.
ARM announced that it acquired Apical for $350 million. This acquisition helps to grow ARM’s already vast presence in the mobile market with a portfolio of advanced image processing technologies.
Ahead of Intel’s anticipated Broadwell-E processor launch, Asrock announced the availability of an updated BIOS with support for the new X99 platform CPUs.
Google's and Nvidia's commitment to OpenPower architecture may make IBM's Power9 an unexpected success in servers and supercomputers, starting next year.
Intel's Skylake architecture and corresponding platform represent a huge evolution in connectivity, overclocking and, ultimately, system performance. This resource should help answer any questions you have about the company's current desktop PC design.
Intel killed off its well known “tick-tock” design cadence known in favor of a new extended development scheme.
AMD's new A10-7890K represents the very top of the low-cost APU family. We're answering whether it can breathe new life into the line via online gaming, or if its small clock rate bump just isn't worth more money compared to the A10-7870K.
AMD announced three new SKUs in its embedded solutions G-Series product lineup that will use either Jaguar+ or Excavator CPU cores.
Do you ever wonder what goes on inside a router? In this article, we take a close look at the SoCs inside of them, which help us manage and maintain our connected lives.
AMD announced that there will be three new processors released for its socket FM2+, as well as three new CPU coolers that will be bundled with its existing products.
Gigabyte is the second OEM to release a BIOS update that should eliminate the bug on Skylake CPUs that causes the system to freeze or crash when running complex workloads.
Movidius and Google are teaming up to get the benefits of Deep Learning onto mobile devices. You'll get the magic of Deep Learning on-device, without needing to be connected to the Internet.