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

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

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

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and ...

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 ...

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

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

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

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