Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.

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

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...

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 ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Dynamic prediction of cancer-associated thrombosis to guide prophylactic anticoagulation. Age distribution of metastatic cancer patients and chemotherapy discontinuation rates.

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 ...