Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

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

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 ...

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

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

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

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

“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 ...

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