Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

Leading the session was Rob van der Veer, chief AI officer at software platform Software Improvement Group and a founder of ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

Compare Data Scientist vs Machine Learning Engineer roles in India 2026. Explore salary, skills, career paths, and find which ...

A wildfire forecasting system powered by artificial intelligence was around 30% better at identifying dangerous fire ...

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

For years, animal behavior was explained as instinct or routine survival. New research is expanding that view.

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

Not yet ready for clinical use, but system could aid in clinical trials and registries ...

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the ...