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

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

The central bank's draft guidelines require board-approved model risk frameworks, stronger oversight of AI models and ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

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

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...