Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough ...

Neural networks are one typical structure on which artificial intelligence can be based. The term "neural" describes their ...

Russia’s Chepetsk Mechanical Plant (ChMZ – Chepetskii Mekhanicheskii Zavod) in the Udmurt Republic, part of Rosatom’s Fuel ...

NUS researchers have shown that a single transistor can replicate both neural and synaptic behaviors, marking a significant step toward brain-inspired computing. Researchers at the (NUS) have shown ...

The researchers developed a system architecture that transforms traditional electronic neural network operations into optical processes. Their approach uses multiple tunable lasers emitting light ...

A cutting-edge AI acceleration platform powered by light rather than electricity could revolutionize how AI is trained and ...

Machine learning techniques, particularly neural networks, have emerged as a promising solution for processing DAS data more efficiently. While the processing capabilities of traditional electronic ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...