This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

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 ...

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

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 over a decade of experience in optimizing neural networks for real-world ...

Python implementation of the simple perceptron or also known as a single-layer neural network, is a binary classification algorithm by Frank Rosenblatt based on the neural model of Warren McCulloch ...

NHS England believes it is at around this size that networks will best keep the features of traditional community-based general practice. The vision is to offer a balance between effective and ...

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

The Celo blockchain's long-awaited plan of becoming an Ethereum layer-2 chain has been completed, ending an almost two-year process, the main organizations behind the network said Wednesday.