AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

Abstract: Automated Depression Detection (ADD) in speech aims to automatically estimate one's depressive attributes through artificial intelligence tools towards spoken signals. Nevertheless, existing ...

Self-evolving AI agents are reshaping how artificial intelligence systems learn and adapt, allowing them to autonomously refine their skills and performance over time. AI Jason explores the mechanisms ...

If it feels like AI is developing too fast to keep up with, a group of Chinese researchers have some bad news – because they've developed a model that "evolves" on its own, creating better versions of ...

Researchers from Nanchang University and Trina Solar found that TOPCon solar modules exhibit metastable “degradation–recovery” under UV exposure, with light soaking fully restoring performance and no ...

Humans are the species with both the greatest capacity for self-sabotage and the greatest capacity for learning. We see evidence of this constantly in everyday life and in world news. In this essay, I ...

See more of our trusted coverage when you search. Prefer Newsweek on Google to see more of our trusted coverage when you search. A young Michigan homeowner charged with manslaughter for fatally ...

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...

Google’s recent whitepaper, “Welcome to the Era of Experience,” signals a shift in the way AI agents are trained. Google’s paper hypothesizes that allowing AI agents to learn from the experience of ...

Gear-obsessed editors choose every product we review. We may earn commission if you buy from a link. Why Trust Us? Here’s what you’ll learn when you read this story: Memristors, or “memory resistors,” ...