Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...

The machine learning market is growing in leaps and bounds, and experts project continued growth. A report by McKinsey indicates that AI has a large potential to be a significant driver of economic ...

Researchers have used a machine learning model to identify three compounds that could combat aging. They say their approach could be an effective way of identifying new drugs, especially for complex ...

BMW has long been synonymous with the ultimate driving machine. But as we hurtle toward an increasingly connected future, the ...

Scientists are turning to machine learning to help with off-world sample analysis. "This machine learning algorithm can help us by quickly filtering the data and pointing out which data are likely to ...

Have you ever tried to intentionally forget something you had already learned? You can imagine how difficult it would be. As it turns out, it's also difficult for machine learning (ML) models to ...