Despite recent advances in musical signal processing, little attention has been given to the demands of nontechnical stakeholders. The reduction of ...

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

The number of scientific papers is growing so rapidly that scientists are no longer able to keep track of all of them, even ...

In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard Medical ...

This Collection supports and amplifies research related to SDG3, SDG9 and SDG10. Physics-Informed Machine Learning (PI-ML) combines principles from physics- and biology-based modeling with data-driven ...

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. If you're looking for a job that pays six figures, is always ...

Machine-learning models could help drug firms remove viral contaminants from products more effectively as long as they have access to high-quality training data, say biomanufacturing researchers.

The IAEA hosts a webinar focused on the strategic integration of Artificial Intelligence (AI) in Waste Management and Nuclear Decommissioning. This session highlights how AI technologies such as ...