Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

A new study titled "An Efficient Method for Early Alzheimer’s Disease Detection Based on MRI Images Using Deep Convolutional ...

Read more about Deep reinforcement learning could redefine insulin delivery for diabetes patients on Devdiscourse ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

Adam, a next-gen humanoid robot, uses advanced reinforcement learning to master human-like movement across dynamic terrains ...

The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

This interdisciplinary program is designed to integrate deep mathematical knowledge with practical computing skills to equip students for high-impact careers.

Arnab Kar is a founding member of Data Science and Machine Learning considered the new generation of professors; his academic ...

In recent years, the global installation of ESS (energy storage systems) has been on a steady upward trend. However, safety incidents have emerged as a persistent obstacle, impeding the healthy ...