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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsResearchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...
New research highlights how astrocytes, long considered mere support cells, actively shape brain network dynamics.
BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...
For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...
Steven Brightfield, Chief Marketing Officer at BrainChip, about neuromorphic computing and its Akida spiking neural network ...
The RA8P1 is intended for edge and endpoint AI applications, using the Ethos-U55 NPU to offload the CPU for compute intensive ...
The number of scientific papers that rely on AI has quadrupled, and the scope of problems AI can tackle is expanding by the ...
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