McGill researchers have developed a diagnostic system capable of identifying bacteria—and determining which antibiotics can ...

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...

Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Adrian Newey, now leading the Aston Martin Formula 1 team into 2026 as team principal, has commented on the use of AI in how the outfit operates. This comes after the Silverstone squad showed off its ...

AMD requires a Senior AI/ML and GPU Performance QA Engineer who will manage validation and performance testing for machine ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Sparc (ASX: SPN) partners with AIML to build AI-powered corrosion assessment software, slashing testing time from 40 minutes ...

Moving from legacy, rules-based systems to AI-driven protection isn’t as simple as switching on new technology.

Machine learning is streamlining health care operations, and lending a hand in certain types of medical research.