(A) A traditional fully connected neural network. The layers are connected by black lines corresponding to weights. The neurons separately realize the summation and nonlinear activation functions ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

As knowledge of the development of neuronal pathways continues to grow, it also elucidates potential treatment modalities for neuronal degenerative diseases and injuries. Molecular and genetic ...

To study how a key chemical neuromodulator affects signaling in the brain's cortex, Garrett Neske, PhD, has received a three-year, $300,000 grant from the Whitehall Foundation, a nonprofit ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...

When a house catches on fire, we assume that a smoke alarm inside will serve one purpose and one purpose only: warn the ...

A research team led by Hiroshima University and Tokyo University of Agriculture and Technology have proposed a neuroendocrine ...

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...