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.

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 ...

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

From large language models to whole brain emulation, two rival visions are shaping the next era of artificial intelligence.

Confused by neural networks? This video breaks it all down in simple terms. Understand how they work and why they’re at 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 ...

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

How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers ...

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

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