Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic ...

Legacy metrics—uptime, latency, MTTR—no longer capture operational value in an AI-driven world. Mean time to prevention (MTTP ...

Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...

Instead of a single, massive LLM, Nvidia's new 'orchestration' paradigm uses a small model to intelligently delegate tasks to a team of tools and specialized models.

A team of researchers led by Karina Xavier has uncovered a promising new live biotherapeutic agent that may redefine how the ...

For much of the last two years, multi-agent systems have been treated as the natural next step in artificial intelligence. If one large language model can reason, plan, and act, then several working ...

For all the progress made by large language models, most AI systems still share a fundamental weakness. They are static. Once ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Spacecraft are becoming too complex, too autonomous and too far from Earth to rely on static rules and ground-driven investigation. Multi-agent AI provides a practical, incremental, operationally ...

Explore Google Gemini Interactions API with server-side state and background processing, so you cut token spend and ship ...

Following a heart-healthy Mediterranean-style diet may be difficult for people of all income levels, not just those in ...