Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...

Objectives To examine primary care contacts among individuals with eating disorders (EDs) and assess differences across ...

Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.

High-fidelity brand assets are no longer impossible. Learn how Monks uses raw CAD data ingestion to achieve flawless AI product accuracy for brands.

Researcher Devashri Datta introduces AIVEX and SRIL, new approaches designed to bring context-aware risk analysis to software ...

The actuarial methodology powering insurance risk models is advancing faster than most carriers realize. Here is what is ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

According to a recent Gartner analysis on why GenAI projects fail, roughly half of generative AI initiatives are abandoned after the proof-of-concept stage. The primary culprits are poor data quality ...

The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.

BackgroundBird populations are facing unprecedented global pressures from climate change, habitat fragmentation, land use ...

Generative AI can help you find information. If you're bored with traditional search, check out the top AI search engines we've tried. I’ve been writing about consumer technology and video games for ...