Understanding the Hidden Gaps in Brain-Inspired AI Recent advances in artificial intelligence have drawn heavily from the human brain’s architecture ...

A technical paper titled “Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systems” was published by researchers at CEA-LETI Université Grenoble Alpes, University of ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

(Nanowerk Spotlight) Effectively mimicking the unmatched visual capacities of the human brain while operating within stringent energy constraints poses a formidable challenge for artificial ...

A technical paper titled “Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology” was published by researchers at Intel Labs, University of ...

A unified platform that can bring spiking neural networks together, accelerating neuromorphic AI from fragmented research to ...

Johns Hopkins electrical and computer engineers are pioneering a new approach to creating neural network chips—neuromorphic accelerators that could power energy-efficient, real-time machine ...

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 ...

Photonic neural network systems, which are fast and energy efficient, are especially helpful for dealing with large amounts of data. To advance photonic brain-like computing technologies, a group of ...