Researchers will join a new NIH-supported network working to develop novel approach methodologies that complement or replace animal testing ...

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

The digital economy is increasingly driven by intelligent systems that process enormous volumes of behavioral information. Platforms across entertainment, finance, and iGaming rely on machine learning ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...