neuromorphic
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Samsung hopes to 'copy and paste' the brain to 3D chip networks
Samsung says it has developed an approach that would 'copy and paste' a brain's neuron map to 3D chip networks — if and when the technology is ready.
Researchers built robotic skin with a sense of touch
Using Intel's neuromorphic Loihi chip, researchers created a robotic skin that detects touch more than 1,000 times faster than the human sensory nervous system.
MIT fit tens of thousands of artificial brain synapses on a single chip
MIT engineers put tens of thousands of artificial brain synapses on a single chip that's smaller than a piece of confetti.
Intel’s neuromorphic chip learns to ‘smell’ 10 hazardous chemicals
Of all the senses, scent is a particularly difficult one to teach AI, but that doesn't stop researchers from trying. Most recently, researchers from Intel and Cornell University trained a neuromorphic chip to learn and recognize the scents of 10 hazardous chemicals. In the future, the tech might enable "electronic noses" and robots to detect weapons, explosives, narcotics and even diseases.
'Artificial synapse' points the way toward portable AI devices
Tech titans like Intel and IBM have already begun developing chips for AI that mimic the way the human brain works -- it is, after all, the most powerful computer there is. The field of "neuromorphic computing" is still in its very early stages, though, and one of its pioneers' greatest challenges is copying neural synapses. Those are the small structures where information passes when it moves from one neuron to the next. That's why a team of MIT engineers have set out to develop an artificial synapse that works like the real deal and have successfully come up with a design that can "precisely control the strength of an electric current flowing across it, similar to the way ions flow between neurons."
Intel unveils an AI chip that mimics the human brain
Lots of tech companies including Apple, Google, Microsoft, NVIDIA and Intel itself have created chips for image recognition and other deep-learning chores. However, Intel is taking another tack as well with an experimental chip called "Loihi." Rather than relying on raw computing horsepower, it uses an old-school, as-yet-unproven type of "nueromorphic" tech that's modeled after the human brain.
Light-based neural network could lead to super-fast AI
It's one thing to create computers that behave like brains, but it's something else to make them perform as well as brains. Conventional circuitry can only operate so quickly as part of a neural network, even if it's sometimes much more powerful than standard computers. However, Princeton researchers might have smashed that barrier: they've built what they say is the first photonic neural network. The system mimics the brain with "neurons" that are really light waveguides cut into silicon substrates. As each of those nodes operates in a specific wavelength, you can make calculations by summing up the total power of the light as it's fed into a laser -- and the laser completes the circuit by sending light back to the nodes. The result is a machine that can calculate a differential math equation 1,960 times faster than a typical processor.
IBM wires up 'neuromorphic' chips like a rodent's brain
IBM has been working with DARPA's Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) program since 2008 to develop computing systems that work less like conventional computers and more like the neurons inside your brain. After years of development, IBM has finally unveiled the system to the public as part of a three-week "boot camp" training session for academic and government researchers.
Intel designs neuromorphic chip concept, our android clones are one step closer
Most neurochip projects have been designed around melding the brain and technology in the most literal sense. Intel's Circuit Research Laboratory, however, is betting that we might get along just fine with neuromorphic (brain-like) computers. By using valves that only have to respond to the spin of an electron, as well as memristors that work as very efficient permanent storage, the researchers believe they have a design that operates on the same spikes of energy that our noggins use rather than a non-stop stream. Along with simply using power levels closer to those of our brains, the technique allows for the very subtle, massively parallel computations that our minds manage every day but which are still difficult to reproduce with traditional PCs. There's still a long path to take before we're reproducing Prometheus' David (if we want to), but we've at least started walking in the right direction.
