Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

Cybersecurity strategist Dima Shaposhnykov argues that organizations can no longer rely on conventional threat detection ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...

Researchers develop a radiomics-based machine learning model to identify patients with traumatic brain injury at risk ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

New book explains how AI and machine learning are transforming banking through fraud detection, credit risk modeling, ...

What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...