Neuromorphic computing systems, encompassing both digital and analog neural accelerators, promise to revolutionize AI ...

Drawing inspiration from human eyesight, a European research project led by VTT has developed machine vision mimicking the cooperation of the eye and nervous system, implemented as edge-computing ...

As AI platforms go mainstream, power bills from their usage are exploding, so researchers are racing to build hardware that would use less energy.

The tiny worm Caenorhabditis elegans has a brain just about the width of a human hair. Yet this animal’s itty-bitty organ coordinates and computes complex movements as the worm forages for food. “When ...

Tested against a dataset of handwritten images from the Modified National Standards and Technology database, the interface-type memristors realized a high image recognition accuracy of 94.72%. (Los ...

A new technical paper titled “Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling” was published by researchers at Sandia National Laboratories. “Neuromorphic computing ...

It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and cognitive. That ...

Neuromorphic computing, inspired by the human brain, is considered as the next-generation paradigm for artificial intelligence (AI), offering dramatically increased speed and lower energy consumption.

July 10, 2024 — The U.S. Department of Energy’s Advanced Scientific Computing Research (ASCR) program has announced a Monday July 22 deadline (11:59 pm ET) for position papers for a workship on ...

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