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.

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

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

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

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

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

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 ...

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

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

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