In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

New book explains how AI and machine learning are transforming banking through fraud detection, credit risk modeling, ...

A number of agencies are enthusiastically working to develop tools that involve artificial intelligence and machine learning. The Department of Veterans Affairs, for instance, had the third-largest ...

Sudhir Kumar Rai, Director of Data Science at Trellix, drives responsible generative AI innovation for enterprise systems, ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

This is the largest real-world analysis of mycophenolic acid in pediatric lupus nephritis to date, providing a decision-support system to help balance efficacy and safety.

What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...

Three faculty members from Johns Hopkins University have been named 2026 Sloan Research Fellows by the Alfred P. Sloan ...