Brain-Inspired Chip Could Make some AI Tasks up to 2,000 Times More Energy Efficient

Brain-inspired nanoelectric breakthrough ‘could slash AI energy use’

It mimics the efficient way neurons are connected in the brain.

Brain-inspired chip could make some AI tasks up to 2,000 times more energy efficient

A new type of computer chip that uses the physics of materials to process information could make some artificial intelligence (AI) systems far more energy efficient, researchers have found. Loughborough University physicists have developed a device that can process data that changes over time directly in hardware, rather than relying on software running on conventional computers.

AI Could Become 2,000 Times More Efficient by Copying the Brain: Study

Researchers from Loughborough University are looking into a new type of computer chip that could make AI far more energy efficient.

Loughborough University Develops Energy Efficient AI Chip Using Material Based Computing for Advanced Data Processing

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