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 ...

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

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

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

“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 ...

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 ...

Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

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 ...