Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

has come up with complex hybrid machine learning (ML) models that can identify fraudulent claims with high precision of 90 percent. The method will be a combination of a number of ML algorithms, and ...

As AI technology advances, it becomes vital for organizations, leaders and professionals to know how to learn effectively.

AI is transforming learning – not by replacing people, but by empowering learning professionals to blend data, creativity and ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...