Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...

By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

A new study from King's Business School at King's College London and the Federal Reserve Board shows most credit-limit increases are automated, targeting borrowers already in debt.

Machine learning (ML), a subset of AI, has the capacity to address technical limitations that traditional diagnostic methods ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

For decades, Australian innovation policy discourse has been organised around the valley of death, the gap where good ideas ...

AI should be treated like a junior associate, one who is eager, fast and capable of producing large amounts of work quickly, ...

Live shopping's success in Asia has long entranced U.S. brands, but Western brands have struggled to replicate this ...