Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions ...

When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting states of matter, such as fractional quantum Hall liquids. These are exotic ...

At ARVO 2025, in Salt Lake City, Utah, Patipol Tiyajamorn, talked about his poster on using graph neural networks to identify ...

Understanding neural network dynamics is a cornerstone of systems neuroscience, bridging the gap between biological neural networks and artificial neural ...

We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality. "It's a network effect," said UC Santa Barbara mechanical engineering professor Francesco ...

We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality. “It’s a network effect,” said UC Santa Barbara mechanical engineering professor Francesco ...

Describing artificial intelligence as having neural networks and understanding language has implications for how we understand both AI and the human brain.