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

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

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

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Researchers have developed a fiber neural network system that performs intelligent processing of optical communication signals directly in the light domain. This approach integrates optical ...

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

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

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

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

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

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

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