Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
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, ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
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 ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
SANTA CLARA, CA, Feb. 12, 2026 (GLOBE NEWSWIRE) -- SANTA CLARA, CA - February 12, 2026 - - ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...