Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

Prediction-powered inference integrates a small gold-standard dataset with a large auxiliary dataset informed by machine ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

As agent hype fades, machine learning quietly proves it’s still essential.

The Next Frontier of Machine Learning: 2026 Breakthroughs and the Rise of World Models The landscape of artificial intelligence and ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient’s risk of hepatocellular carcinoma (HCC), the most common ...

OpenAI just happens to offer its own speech recognition, speech generation, and text-to-image models. Microsoft's models are available through Foundry (formerly Azure AI Studio), a platform to develop ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

This industry-collaborative PhD project offers the opportunity to work at the intersection of machine learning, structural engineering and renewable energy to develop innovative and impactful ...