A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Rana el Kaliouby's son founded an AI club at his high school, while her daughter, a recent Harvard grad, avoids the ...

MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

WHEN A LARGE language model (LLM) gives a cardiologist a poor answer, it is not always the model that is the only problem. More often ...

Researchers with the Charbonneau Cancer Institute at the University of Calgary and McMaster University have identified a unique target present on a specific group of solid cancerous tumors.

Deadline to register is July 21. For more details, visit The IC3 Movement’s 10th Annual Conference and Expo 2026 will be on ...

While catastrophic safety failures must never be tolerated, meaningful firearms training for law enforcement often happens ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

A new big-data analysis of the U.S. pinpoints how urban design aids the health of city residents—especially when cities provide walking opportunities, greenery and mixed-use streets with a blend of ...

In financial services, protecting sensitive data is non-negotiable, and any system touching it has to run in a controlled, auditable environment.

Finland, Estonia, and NestAI (NEDAI), a European developer of artificial intelligence for defense, have agreed to collaborate on research and development of adaptive and machine-learning artificial ...