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

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

Whether it's powering your phone’s autocorrect or helping someone create a new recipe with a few words, artificial intelligence (AI) is everywhere right now. But if you're still nodding along when ...

Blending logic systems with the neural networks that power large language models is one of the hottest trends in artificial intelligence. Now, however, the computer-science community is pushing hard ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

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

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

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

What if AI could keep learning like a human brain, in new conditions even after it was used, deployed & put to use in real life? A Liquid Neural Network (LNN) is a new type of artificial intelligence ...

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