Utility of the PROSTest, a novel blood-based molecular assay, versus PSA for prostate cancer stratification and detection of higher grade disease. Insight into the global mortality trends due to ...

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...

Enterprise AI teams are moving beyond single-turn assistants and into systems expected to remember preferences, preserve project context and operate across longer horizons.

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

A new technical paper titled “MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging” was published by researchers at the University of Minnesota – Twin Cities. “As program ...

Embabel, an open source framework for authoring AI agentic flows on the JVM, has been launched by Spring Framework founder Rod Johnson. Johnson aims for Embabel to become the natural way to integrate ...

Social engineering is evolving from Human to Human, to, Human to AI. But are we ready for this new threat? Remember the days ...