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

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

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 ...

Researchers at Andon Labs just answered which AI models are best at running a business. But their tactics may make things complicated.

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 ...

AI systems already decide how ambulances are routed, how supply chains operate and how autonomous drones plan their missions. Yet when those systems make a risky or counter-intuitive choice, humans ...

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 ...

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 ...

Learn how AI-driven personalization transforms customer loyalty. Explore predictive modeling and data strategies for ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.