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 ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

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, ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

Market valued at $1.68B in 2024, projected to reach $4.58B by 2033 at 13.4% CAGR, driven by chronic wound prevalence ...

This story is part of an AI series looking at how WSU is driving innovation in research and teaching through artificial intelligence. View the entire ...

A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...

Aselsan plans to conduct its first live dropping tests of the AselBuoy passive sonobuoy from an unmanned aerial vehicle in the coming period, according to CEO Ahmet Akyol.

Prof. Yadati Narahari: Hundreds of mobile applications for agriculture have been launched over the years, and at any given time, there are a lot of such initiatives in India, yet nearly 90 percent of ...

How Can Organizations Achieve Stability Through NHI Lifecycle Management? How can organizations secure their digital infrastructures effectively? Managing Non-Human Identities (NHIs) presents a ...

A recent review concluded that artificial intelligence (AI) is rapidly transforming the diagnosis and treatment of haematological malignancies by enhancing diagnostic accuracy and ...