A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human ...

It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to social influencers.

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

Emma Beavin's reporting for this story was supported by a National Ins | The Coalition for Health AI promised the healthcare industry a way to responsibly oversee AI through a nationwide network of AI ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

Market valued at $1.68B in 2024, projected to reach $4.58B by 2033 at 13.4% CAGR, driven by chronic wound prevalence ...

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

Vertiv™ Next Predict is a new AI-powered, managed service that combines field expertise and advanced machine learning ...