By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...

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 March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Postdoctoral researcher Johann Vargas Calixto uses machine learning and ultrasound technology to develop low-cost, accessible prenatal monitoring in underserved communities.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

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

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

How we learn to predict an outcome isn’t determined by how many times a cue and reward happen together. Instead, how much ...

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 ...