UCL and Imperial College London Researchers Unveil Energy-Efficient Machine Learning through Task-Adaptive Reservoir Computing

Conventional computers use a lot of energy; they make up around 10% of the world’s electricity needs. This is because traditional computers depend on distinct units to process and store data, necessitating the continuous shuffle between the two units. Heat is produced, and energy is wasted in this process. Brain-inspired or neuromorphic computing is a […]

The post UCL and Imperial College London Researchers Unveil Energy-Efficient Machine Learning through Task-Adaptive Reservoir Computing appeared first on MarkTechPost.

ai shorts college computers computing continuous data editors pick electricity energy heat imperial college london london machine machine learning process researchers staff tech news technology through units world