Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

In a significant advancement for smart agriculture and precision farming, researchers at Chandigarh University have developed ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.

A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

Finland has hunkered down on its strengths in health, quantum and maths to nurture an industrial recovery that has been wanting since the decline of national champion Nokia in the smartphone era. A ...

Researchers at IMDEA Materials Institute have developed an artificial intelligence (AI)-based strategy to predict and assess ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

Researchers evaluated whether accelerometer-derived sleep-wake characteristics can enhance dementia risk prediction models in older adults.