Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...

The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

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, ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

Read more about AI-driven learning analytics struggle to deliver measurable gains in higher education on Devdiscourse ...

Out-of-hospital cardiac arrest, or OHCA, is a leading cause of mortality worldwide and 90% of cases are fatal. Patients lose cardiac function and circulation, and every minute they remain untreated ...

AI agents capable of handling large portions of chip design and verification are less about convenience and more about ...

Data-driven analysis shows outpatient stem-cell mobilisation can reduce hospital bed use while maintaining safety, supported ...