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

Kirill Solodskih, PhD, is the Co-Founder and CEO of TheStage AI, as well as a seasoned AI researcher and entrepreneur with ...

The transformative aspect of merging quantum computing with classical neural networks has been phenomenal in this fast-paced digital era. Here, Karthikeyan Raja ...

Infomorphic neurons, developed by researchers, are designed to learn independently and self-organize within artificial neural networks. Inspired by biological neurons, they process input signals in ...

Examples like Intel's Loihi chips tend to get competitive performance out of far lower clock speeds and energy use, but they ...

A Nature analysis reveals the 25 highest-cited papers published this century and explores why they are breaking records.

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

The emergence of AI has profoundly transformed numerous industries. Driven by deep learning technology and Big Data, AI ...

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

When visual information enters the brain, it travels through two pathways that process different aspects of the input. For ...