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

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

Fig. 1: Modeling qubits in a realistic way involves large-scale atomistic models with possibly amorphous materials, disorder, ...

In the dawn of the age of advanced AI, academic leaders are launching new programs to bring students on pace with the rapid transformation of information technology. Courses for developing AI literacy ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a remarkable window in the hidden engines powering social media.

In order to implement neural networks, you focused on analogue computing in your work: you used light signals instead of electrical signals as in conventional digital computers. What are the ...

Big Data Technology and Artificial Intelligence are like a pair of "sibling disciplines"—the former provides the fuel (data) for the latter, while the latter imparts wisdom (algorithms) to the former.