Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure, classification of cancers and gene prediction. How do they ...

Often, each node in a layer is connected to every node in the subsequent layer to send information forward in the network. “When you write code to build an artificial neural network, you're basically ...

AlexNet revolutionized the use of neural networks for computer vision, creating one of the underpinnings of generative AI.

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

It was the shot heard 'round the world - a neural network that finally fulfilled decades of theoretical promise.

Ba, part of Business Insider's 2024 AI Power List, has a background in deep neural networks, a type of artificial-intelligence model consisting of a layered network of artificial neurons that ...

International Iberian Nanotechnology Laboratory (INL) researchers have developed a neuromorphic photonic semiconductor neuron ...

AI models like artificial neural networks and language models help scientists solve a variety of problems, from predicting the 3D structure of proteins to designing novel antibiotics from scratch.

Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid chromatography.

A new paper published in Scientific Reports evaluates the use of artificial intelligence (AI) and neural networks to ...