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.

Getting to six figures used to feel like climbing a corporate mountain. But these days, the ladder looks different, and often ...

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 ...

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

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 ...

The water district and University of Florida researchers deployed 120 robot rabbits this summer as an experiment.

Ankur Saxena, Ph.D. Cellular differentiation of stem cells into specialized cells requires many steps, including division, to create more cells; fate determination, which is a commitment to a specific ...

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.