MIT’s tiny artificial brain chip could bring supercomputer smarts to mobile devices

MIT’s tiny artificial brain chip could bring supercomputer smarts to mobile devices

4 years ago
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https://techcrunch.com/2020/06/08/mits-tiny-artificial-brain-chip-could-bring-supercomputer-smarts-to-mobile-devices/

Researchers at MIT have published a new paper that describes a new type of artificial brain synapse that offers performance improvements versus other existing versions, and which can be combined in volumes of tens of thousands on a chip that’s smaller physically than a single piece of confetti. The results could help create devices that can handle complex AI computing locally, while remaining small and power-efficient, and without having to connect to a data center.

The research team created what are known as “memristors” — essentially simulated brain synapses created using silicon, but also using alloys of silver and copper in their construction. The result was a chip that could effectively “remember” and recall images in very high detail, repeatedly, with much crisper and more detailed “remembered” images than in other types of simulated brain circuits that have come before.

MIT’s tiny artificial brain chip could bring supercomputer smarts to mobile devices

Jun 8, 2020, 7:14pm UTC
https://techcrunch.com/2020/06/08/mits-tiny-artificial-brain-chip-could-bring-supercomputer-smarts-to-mobile-devices/ > Researchers at MIT have published a new paper that describes a new type of artificial brain synapse that offers performance improvements versus other existing versions, and which can be combined in volumes of tens of thousands on a chip that’s smaller physically than a single piece of confetti. The results could help create devices that can handle complex AI computing locally, while remaining small and power-efficient, and without having to connect to a data center. > The research team created what are known as “memristors” — essentially simulated brain synapses created using silicon, but also using alloys of silver and copper in their construction. The result was a chip that could effectively “remember” and recall images in very high detail, repeatedly, with much crisper and more detailed “remembered” images than in other types of simulated brain circuits that have come before.