Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Researchers at Duke University combined Dynamic Optical Contrast Imaging (DOCI) with AI to improve thyroid cancer detection and surgical planning. DOCI captures the natural autofluorescence of tissue ...

As AI models grow more complex, a new white-collar gig workforce has emerged to review and guide systems. A new category of ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise. During tumor excision ...

As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world's decision-making is ...

A generative AI system can now analyze blood cells with greater accuracy and confidence than human experts, detecting subtle signs of diseases like leukemia. It not only spots rare abnormalities but ...

Why traditional safety metrics fail to prevent serious injuries and fatalities—and how AI helps EHS teams identify PSIF risks ...

Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare ...