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 ...
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 ...
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 ...
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 ...
When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...
A new AI tool that accurately predicts the need for a feeding tube could transform patient care and improve quality of life ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...