Brain-inspired AI could cut energy use and boost performance

Brain-inspired AI could cut energy use and boost performance

Artificial intelligence (AI) could soon become more energy-efficient and faster, thanks to a new approach developed at the University of Surrey that takes direct inspiration from biological neural networks of the human brain.

Brain-inspired AI could slash energy use and boost speed, scientists say

Artificial intelligence may soon get a major upgrade—by learning from the human brain. Researchers at the University of Surrey have developed a new brain-inspired approach that could make AI systems faster, more energy-efficient, and even smarter, all without losing accuracy. The breakthrough, published in Neurocomputing, comes from Surrey’s Nature-Inspired Computation and Engineering (NICE) group. The […] The post Brain-inspired AI could slash …

Researchers at the University of Surrey have developed a new type of AI inspired by the human brain.

Topographical Sparse Mapping is said to make the technology work more efficiently and use less energy. Researchers say it could make AI training more sustainable. The team is now testing the technology deeper AI systems and brain-like computers.