Both machine learning and deep learning AI models show significant improvements over existing clinical criteria of food allergy diagnostics, according to new research being presented at the 2026 AAAAI ...

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

We stand at a turning point in artificial intelligence. For years, we built AI systems that followed our commands. Now, we are building AI agents that do not just follow commands, but learn, adapt, ...

Muons tend to scatter more from high-atomic-number materials, so the technique is particularly sensitive to the presence of materials such as uranium. As a result, it has been used to create systems ...

Academics look at problematic algorithm to inform regulatory discussion A picture is worth a thousand words or, perhaps, a hundred thousand dollars in extra salary. Academics claim that personality ...

Researchers have built AI systems capable of steering targeted brain circuits in real time, moving neuroscience closer to precise, closed-loop control of neural activity. These tools pair machine ...

A new international study suggests most clinical artificial intelligence (AI) tools are not yet ready for safe, equitable use ...

In mid-2023, around the time Elon Musk rebranded Twitter as X but before he discontinued free academic access to the platform’s data, my colleagues and I looked for signs of social bot accounts ...

AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare Earth Moment” for AI.

Given the speed with which agentic AI functions, it is vital for the board to define authority and assign responsibility ...