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

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

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

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

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

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

The current boom in AI technology has ridden on a wave known as ‘deep learning’, which is an approach to creating intelligent ...

Want to understand how neural networks actually learn? This video breaks down forward and backward propagation in a simple, ...

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

Once a pioneer that helped the world lay the foundations of machine learning, Japan’s renewed push into artificial ...

Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...