EurekAlert! In the Spotlight - Artificial Intelligence

Welcome to In the Spotlight, where each month we shine a light on something exciting, timely, or simply fascinating from the world of science.

This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.

Latest News Releases

Updates every hour. Last Updated: 28-Jan-2026 00:11 ET (28-Jan-2026 05:11 GMT/UTC)

28-Jul-2025

Detecting a potential behavioral biomarker for Parkinson’s disease in mice

Society for Neuroscience
Peer-Reviewed Publication

Machine learning technology reveals that high speed movements are the first affected behaviors in early stages of Parkinson’s disease. Levodopa repairs the speed—not the structure—of these movements.

Journal: eNeuro
Funder: NIH/National Institute of Neurological Disorders and Stroke, Congressionally Directed Medical Research Programs, Parkinson's Foundation, Aligning Science Across Parkinson's

28-Jul-2025

Researchers test the trustworthiness of AI—by playing sudoku

University of Colorado at Boulder
Reports and Proceedings

A team of computer scientists discovered that some AI large language models can solve sudoku puzzles, but even the best ones struggle to explain how they did it.

Meeting: 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

28-Jul-2025

UNH faculty members secure a record six NSF CAREER awards

University of New Hampshire
Grant and Award Announcement

A record six UNH faculty members have received prestigious Faculty Early Development, or CAREER, awards from the National Science Foundation. CAREER grants are the NSF’s premier awards in support of “early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organizations.”

Funder: U.S. National Science Foundation

28-Jul-2025

Engineer's work aims to improve tropical storm predictions

University of Texas at Dallas
Grant and Award Announcement

Tiny droplets of sea spray generated at the ocean surface can affect the intensity and evolution of hurricanes and other tropical storms.

Their impact, however, is not well understood because of the difficulty of measuring spray concentration and the size and velocity of individual droplets under high wind conditions.

At The University of Texas at Dallas, researchers are studying sea spray, particularly spume, or foam, droplets, in the lab to develop a model based on machine learning to improve hurricane forecasting. The model incorporates the effects of the spray generation function, which quantifies the rate at which droplets form.