By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Tre' Johnson spent nearly all of his career in Washington, and worked as a teacher in the Washington, D.C. area in retirement ...

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...

The Pittsburgh Supercomputing Center is pleased to present a Machine Learning and Big Data workshop hosted at Princeton University. This workshop will focus on topics including big data analytics and ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

India, Feb. 19 -- The Artificial Intelligence landscape is rapidly evolving with Agentic AI as the latest frontier and ...

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the scientific journal ...

Blue Water Intelligence (BWI) has launched machine learning-enabled river flow forecasting and early warning services in ...

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at ...

A new frontier is emerging at the intersection of music, technology, and brand strategy. It is not about replacing creativity ...