A new study suggests that the communication patterns within the brains of individuals with Alzheimer’s disease are less ...

Like other sectors of society, artificial intelligence is fundamentally changing how investors, traders and companies make ...

Researchers at the Institute of Science Tokyo have developed a neural-network-based 3D imaging technique that can precisely ...

The Defense Advanced Research Projects Agency awarded Professor Jie Gu and co-PIs from the University of Minnesota and Duke ...

As an electrical engineer investigating early neural networks in the 1990s, I dreamed of a future where artificial ...

Researchers have created functional brain-like tissue without relying on any animal-derived materials, marking a major step toward more ethical and reproducible neurological research.

Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...

The Navier–Stokes partial differential equation was developed in the early 19th century by Claude-Louis Navier and George ...

Qing Wei and colleagues from the College of Engineering, China Agricultural University, systematically elaborated on the ...

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

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 ...

More than two decades ago, neural networks were widely seen as the next generation of computing, one that would finally allow computers to think for themselves. Now, the ideas around the technology, ...