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MoNETA: A Mind Made from Memristors

DARPA’s new memristor-based approach to AI consists of a chip that mimics how neurons process information

18 min read
Opening illustration for this feature article.
Illustration: Chad Hagen

Stop us if you've heard this one before: In the near future, we'll be able to build machines that learn, reason, and even emote their way to solving problems, the way people do.

If you've ever been interested in artificial intelligence, you've seen that promise broken countless times. Way back in the 1960s, the relatively recent invention of the transistor prompted breathless predictions that machines would outsmart their human handlers within 20 years. Now, 50 years later, it seems the best we can do is automated tech support, intoned with a preternatural calm that may or may not send callers into a murderous rage.

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Video Friday: Humanoid Soccer

Your weekly selection of awesome robot videos

4 min read
Humans and human-size humanoid robots stand together on an indoor soccer field at the beginning of a game

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

CoRL 2022: 14–18 December 2022, AUCKLAND, NEW ZEALAND
ICRA 2023: 29 May–2 June 2023, LONDON

Enjoy today’s videos!

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Array of devices on a chip

This analog electrochemical memory (ECRAM) array provides a prototype for artificial synapses in AI training.

IBM research

How far away could an artificial brain be? Perhaps a very long way off still, but a working analogue to the essential element of the brain’s networks, the synapse, appears closer at hand now.

That’s because a device that draws inspiration from batteries now appears surprisingly well suited to run artificial neural networks. Called electrochemical RAM (ECRAM), it is giving traditional transistor-based AI an unexpected run for its money—and is quickly moving toward the head of the pack in the race to develop the perfect artificial synapse. Researchers recently reported a string of advances at this week’s IEEE International Electron Device Meeting (IEDM 2022) and elsewhere, including ECRAM devices that use less energy, hold memory longer, and take up less space.

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Industrial Functional Safety Training from UL Solutions

Build knowledge and skills to better navigate today's functional safety landscape

3 min read

UL Solutions offer personnel certification at both the professional and expert levels in automotive, autonomous vehicles, electronics and semiconductors, machinery, industrial automation, and cybersecurity.

UL Solutions

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