IBM's Watson Has Gone to College
Even supercomputers need a little schooling.
Seemingly paying homage to Star Trek's Data, Intel has reportedly sent its Watson supercomputer to college so that it can learn to be "more human".
According to IBM, the company is actually sending a modified version of Watson to the Rensselaer Polytechnic Institute, marking the first time a Watson system will be used in a university. Watson was made famous by nuking the world's best human players on "Jeopardy!" in 2011, but now it's heading to college to sharpen its mathematical ability, to figure out how to quickly understand the meaning of new or made-up words, and more.
"The leadership of Rensselaer faculty in Web science, Big Data, artificial intelligence, and other research areas uniquely situates the university to help expand Watson’s abilities," IBM said. "Rensselaer faculty and students will seek to further sharpen Watson’s reasoning and cognitive abilities, while broadening the volume, types, and sources of data Watson can draw upon to answer questions."
The Watson system provided to the university will have 15 TB of hard disk storage, allowing it to store roughly the same amount of data as the "Jeopardy!" model. It will also allow up to 20 users to access it simultaneously, thus creating an "innovation hub". In addition to faculty researchers and graduate students, undergraduate students will also have access to help prepare them for future high-impact, high-value careers in analytics, cognitive computing, and related fields.
IBM said that Watson has a deep connection with Rensselaer, the oldest technological university in the United States, as many graduates became key members of IBM's Watson project team. "Leading up to Watson's victory on Jeopardy!, Rensselaer was one of eight universities that worked with IBM in 2011 on the development of open architecture that enabled researchers to collaborate on the underlying QA capabilities that help to power Watson," IBM added.
The company said it will provide Rensselaer with Watson hardware, software and training.
In addition to Rensselaer, IBM is also collaborating with medical providers, hospitals and physicians via Watson to help doctors analyze a patient's history, symptoms and the latest news and medical literature, thus speeding up diagnoses and making them more accurate. IBM is also working with financial institutions to help improve and simplify the banking experience.
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20 years tops.
Sounds accurate but don't forget that they'll also find ways to make it more efficient, shave some features off for the mobile version, etc.
The problem isn't shrinking the technology down, it's getting the technology to the point anyone can use it. They Watson (and related systems) work is that the questions have to be properly formatted. Although Watson cleaned up in Jeopardy the questions are worded in a consistent manner and the machine was tweaked to be able to handle the questions. Even supercomputers have problems with natural language processing. Just look at Siri and it's equivalents, every request is sent to a server farm and even then it needs a properly formatted query.
We can build smart computers, but we've been working to build computers that can understand people for half a century. I figure we need another 15 or so years to have a big computer understand people, then another 7 or 8 to make it available on home computers (desktops/laptops) and another 7 or 8 for low power mobile devices.
Basically like how we try and figure out what Dark matter really is, we'll tell it about dark matter and let it try and come up with ideas or discoveries by itself with it scanning and thinking.
But unfortunately we're far from that because it requires programming.. and tons of it.. For a machine to discover things by itself.. Wanting to discover, driven by curiosity?
Thats when i'll be even more impressed.
Will it truly ever "understand" what is said or will it just processed based on its input and supply a proper response?
A machine would have to be aware to truly understand and comprehend what is said to it. Could that be achieved? Well, what is life? Where does it go from random movements in a molecule to life? Is life nothing more than a complex biological system? If so why can a complex mechanical system have life?
We have a basic programming in us just as a machine does, except ours can grow and expand on its own whereas machine today is extremely limited to what it can "learn" and how it can utilize that information.
YOUR A CYLON!
I already have my lawsuit documents prepared against IBM!
Isn't that how "The Matrix" started?
Okay just looked it up, the article is wrong. It's 15tb of RAM, not disk space. The Watson used in Jeopardy held 36 petabytes of data, not sure how much storage is in the ones being sent to this school is though. The consensus around the net is that all printed materials on earth would represent approximately 200 PB of information.
I did think that was incorrect. He would fail Jeopardy if that was the case. Thanks for being onto it.
"Number 5 is alive."
Johnny 5, Short Circuit
How things have changed. I remember in my "Issac Asimov Book Of Facts' (c) 1980, that the entire contents of the library of Congress in 1980 was about 1 TB. Talk about an explosion of information.,
I was told I would never need anything THAT FAST and I was out of my mind for putting that much ram in there, that never in a million years would I need more than 64mb!
Yup, yup, yup, things sure do change.
Wonder how much that would be if you compressed it. Since text archives nicely I think it could shrink down the size quite considerably. Then you would only need as much space as however much that takes up + the size of the largest file. (Though 200PB doesn't seem like much for a company of IBMs size)
Given how this technology doesn't get much media attention (short of websites who specialize in it) I think this is amazing. A company doing something merely for the sake of doing it, not for the mass public to sit back in awe and wonderment.
Given what it does, it's impressive. It can call upon non-essential information and use it to derive a coherent and correct response all on it's own. Make all the jokes you want but to say this isn't impressive or to compare it to your home rig is just downright stupid.
And then the world ends.