In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...

Are Organizations Equipped to Handle Agentic AI Security? Where artificial intelligence and machine learning have become integral parts of various industries, securing these advanced technologies is ...

Here's the case for constraint-aware intelligence in the AI 2.0 era.

Now, with graduation from the Computer Science Department (CSD) on the horizon, he's earned this year's Scott Robert Krulcik ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

CANOPY reports AI will transform the workplace by 2026, enhancing productivity, reshaping culture, and requiring new skills ...