
UK University Unveils AI Chip 2,000x More Efficient By Processing Data Directly In Hardware
UK’s Loughborough University physicists have built a brain-inspired chip that makes some AI tasks up to 2,000 times more energy efficient than software. The memristor device uses random nanopores to process time-dependent data directly in hardware, skipping energy-heavy computing steps. Tests on chaos prediction and image recognition succeeded. The team says the approach could help solve AI’s rising energy demands. Further work is needed for real-world noise.














