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 ...

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

When I see self-driving cars, space-based internet coverage anywhere in the world, a push for Mars, robotics and aggressive ...

Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot risky activity, protect players, and keep systems fair. It breaks down complex ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...

Google has opened applications for the 10th cohort of its Startups Accelerator Africa, focusing on AI and machine learning ...

Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining ...

Speaking at the World Governments Summit 2026, Hale said the next phase of digital health will be driven by continuous biometric data combined with AI and machine learning, enabling people and ...