Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...
Digital twins revolutionize drug discovery by integrating AI and biological data, enhancing prediction, trial design, and decision-making in precision medicine.
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
Modern companies are getting cramped at the top, as established tech leader roles like CIO and CTO have been joined by the Chief AI Officer ...
Hello everyone, Vladan here. If you've been following my blog over the years, you know I've spent countless hours breaking ...
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...
Objectives To describe the incidence, presentation and long-term health outcomes of suicidal thoughts and behaviours (STBs) in children aged 12 years or under. Methods This population-based study ...