A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Biology-inspired, silicon-based computing may boost AI efficiency; AMP2 instead uses AI to accelerate anaerobic biology.

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.

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 ...

“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 ...

Feelings of guilt and shame can lead us to behave in a variety of different ways, including trying to make amends or save ...

For decades, schizophrenia and bipolar disorder have been diagnosed from the outside in, through behavior, mood, and memory rather than the cells and circuits that go wrong. Now a new wave of brain ...

Gliomas are cancers that originate directly in the brain, instead of spreading to the brain from other parts of the body.

Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...