Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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

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, ...

ADM, Evolving Systems’ big data platform, securely stores and analyzes massive telecom data, from billing to network reports, providing the foundation for AIQ’s predictive insights. Together, ADM and ...

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

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

You don’t have to go it alone when searching for and maintaining the perfect batch. Through machine learning and AI-based batch control, the arduous search becomes easier to realize.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that sparked concern from privacy and technology safety advocates.

Semiconductor manufacturer GlobalFoundries developed three practical AI-based solutions. The solutions assist with ...

Nuclear energy is trending in the right direction, and it’s thanks to an unlikely suspect that has been blowing up for the last four years. Artificial intelligence has been everywhere as of late; ...

Executives have more trust in the central bank's board than their smaller-bank brethren, according to American Banker's 2026 ...