Watson can diagnose heart disease by looking at medical images

IBM's Watson technology has helped doctors before, but usually by poring through databases before offering its advice. Now, it's ready to look at the patients themselves -- or rather, their body scans. It's following up on past promises by launching...

Watson-based cancer project paused after running aground

It's tempting to treat IBM's Watson as a cure-all: just throw some cognitive computing at the problem and you'll make everything better. That can only happen if it's well-implemented, however, and we've just seen what happens when things go awry. T...

IBM’s Watson-powered voice assistant is built for security pros

If it wasn't already clear that AI-powered voice assistants are ready for the workplace, it is now. IBM is not only launching Watson for Cybersecurity, a cognitive computing service that parses legions of security reports to extract relevant info, bu...

GM will use Watson AI to recommend services on the road

Artificial intelligence isn't just being used to automate cars... it's finding a home in conventional cars, too. GM has unveiled a partnership with IBM that will see the Watson cognitive computing platform power OnStar Go, its latest in-car service...

IBM Research reveals new silicon chip foundation inspired by the human brain (video)

The brain is an incredibly complicated thing, so much so that scientists have spent years trying to decipher its inner workings. IBM is one such institution attempting to crack the code of the human mind. In collaboration with DARPA's SyNAPSE program, it developed a "neurosynaptic computing chip" back in 2011 designed to simulate some of the brain's functions and successfully simulated 530 billion neurons last year thanks to the world's second fastest supercomputer. Today, the company unveiled an important next step in this quest with a new software ecosystem made to program silicon chips that would closely emulate the brain's low power and compact volume.

Some of the discoveries in the new ecosystem include a multi-threaded software simulator, a neuron model that supports wide-ranging neural computations, and programs made out of "corelets," building blocks that represent neurosynaptic network blueprints. It's quite a lot to grasp to be sure, so we've embedded a video after the break of IBM explaining the possible applications of its research. As for the scientifically-minded amongst you, feel free to peruse the press release for more details on IBM's latest breakthrough in cognitive computing.

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Intel Labs measures cognitive workload of distracted drivers, we go eyes-on with the demo (video)

Intel straps on cognitive spectrosometer, we go on a virtual test drive video

Many studies have shown that any kind of distracted driving is a bad thing, but Intel wanted to take a closer look at our driving behavior to determine if we could avoid it in the first place. Paul Crawford, a senior research scientist in Intel's Interaction and Experience Research Lab, sought to do just that in a comprehensive investigation that seeks to understand not just where drivers are looking, but how they're thinking. By doing this, Intel hopes to alert the driver of any mental warning signs before he or she even gets behind the wheel.

At a recent Research @ Intel event in San Francisco, Crawford used a racing car gaming set-up to demonstrate both visual and mental diversions with eye-tracking software and a functional near-infrared spectrometer headband. The latter is used to gauge the metabolic activity and cognitive workload of the brain under different driving conditions, which in this case fluctuated between a peaceful drive and a high-speed chase. Crawford also threw in a few questions and mathematical problems at the test subject to complicate matters. As you might expect, the brain was highly active during the more challenging scenarios and less so in the other. Crawford told us he hopes that the findings will point to ways we can optimize our environmental conditions and taskloads so that we can perform better, not just when driving but in everyday tasks as well. To see the demo in action and hear Crawford's words for yourself, check out the video after the break.

Michael Gorman contributed to this report.

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IBM supercomputer simulates 530 billion neurons and a whole lot of synapses

IBM supercomputer simulates 530 billion neurons and a whole lot of synapses

IBM Research, in collaboration with DARPA's Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) program, has reached another brain simulation milestone. Powered by its new TrueNorth system on the world's second fastest supercomputer, IBM was capable of crafting a 2.084 billion neurosynaptic cores and 100 trillion synapses -- all at a speed "only" 1,542 times slower than real life. The abstract explains that this isn't a biologically realistic simulation of the human brain, but rather mathematically abstracted -- and little more dour -- versions steered towards maximizing function and minimizing cost. DARPA's SyNAPSE project aims to tie together supercomputing, neuroscience and neurotech for a future cognitive computing architecture far beyond what's running behind your PC screen at the moment. Want to know more? We've included IBM's video explanation of cognitive computing after the break.

Continue reading IBM supercomputer simulates 530 billion neurons and a whole lot of synapses

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Via: Kurzweil AI

Source: SC12