The promised gains in efficiency and output often feel just out of reach, as pilots stall, models underperform and even ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

SportsLine's self-learning AI reveals NFL player props and its SGP picks for Patriots vs. Ravens on 'Sunday Night Football' ...