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

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is ...

Now in its eighth year, Design World’s LEAP Awards showcase the best engineering innovations across several design categories ...

Nvidia used NATTEN to fine-tune its prediction model, Cosmos Predict, and the company introduced the second version of the ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

According to the authors, this evolution marks a clear transition from traditional rule-based security toward data-driven, ...

Over the past decade, neurotechnology – the science of connecting technology directly with the brain – has grown at an ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...

Industry analysts estimate that U.S. data center power demand will double over the next five years. By 2030, global data centers could consume as much electricity as the entire nation of Japan. That ...