(IN BRIEF) The University of Twente’s BRAINS Center for Brain-Inspired Computing has developed a groundbreaking hardware-based learning method that enables electronic materials to adapt without using backpropagation or digital optimisation software. Detailed in Nature Communications, the technique — homodyne gradient … Read the full press release →
Posted in Artificial Intelligence (AI), Education, Environment, Industrial, Netherlands, News, Science, Technology
Tagged adaptive hardware, backpropagation, brain-inspired computing, BRAINS Center, energy-efficient computing, HGE, homodyne gradient extraction, Machine Learning, Nature Communications, neuromorphic hardware, physical neural networks, sustainable information processing, University of Twente, University of Twente Researchers Demonstrate Energy-Efficient Learning Technique for Future Adaptive Electronics, Wilfred van der Wiel
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