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

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 ...

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 ...

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

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

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, ...

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

Hybrid human–AI models emerge as the most viable approach. In such systems, AI handles low-risk, high-frequency tasks such as ...

Modern conservation technology has one simple goal, even though achieving it is anything but simple: to spot a threat or ...