
AI Could Become 2,000 Times More Efficient by Copying the Brain: Study
AI systems, like ChatGPT or Claude, are known for their intensive energy usage. They need to store data in one place and then process it elsewhere, constantly moving it back and forth. It’s a problem which could now be fixed with new research. A team of physicists from Loughborough University have designed a device that can process data that is changing over time directly inside the hardware. Traditional systems have relied on software-based methods to do this in the past. Brain-inspired chip d...


