Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

Will artificial intelligence ever be able to reason, learn, and solve problems at levels comparable to humans? Experts at the ...

In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific ...

Breakthrough eye research may transform Alzheimer's detection. Study links bacterial infection in retinas to cognitive ...

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 battery concepts. With information from just 50 cycles, the tool—developed at ...

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 ...

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.