Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

To address these issues, this study proposes a physics-driven neural network (PDNN) that integrates physical knowledge with deep neural networks, embedding the frequency-shift method for Q value ...

While Hopfield, 91, is an American scientist and widely known for his study of associative neural networks, the British-Canadian Hinton, 76, is referred to as the “godfather of Artificial Intelligence ...

Remote-sensing hyperspectral and LiDAR data from corn, genetic markers of popular corn varieties, and environmental data from weather stations were combined to build this neural network.

Abstract: Graph neural networks (GNNs) are good at capturing the intricate topologies and dependencies among components and are outstanding in fault diagnosis tasks of complex industrial process. Bias ...

Having known each other since they were kids, the two designers decided to start up their own studio just before ... This is exactly what they set out to do in their latest collaboration with Neural ...

Explore the intricate dance of mixed emotions, from joy to sorrow, and how our brains navigate the complexity.