Recent advancements in neural network optimisation have significantly improved the efficiency and reliability of these models in handling complex tasks ranging from pattern recognition to multi-class ...
Recent advances in neural network architectures have not only elevated the performance of artificial intelligence systems but have also prompted a transformative re‐evaluation of energy efficiency in ...
Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...
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Scalable memtransistor arrays show potential for energy-efficient artificial neural networks
Researchers at the National University of Singapore (NUS) have fabricated ultra-thin memtransistor arrays from two-dimensional (2D) transition metal dichalcogenide (TMDC) with controllable Schottky ...
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