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

St. Louis-based SSM Health is working to bring more specialty care under value-based compensation models over the next two years, as the health system seeks to extend physician accountability for ...

A more advanced solution involves adding guardrails by actively monitoring logs in real time and aborting an agent’s ongoing ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

A new computational approach developed at the University of Chicago promises to shed light on some of the world's most ...

In engineering design, the traditional “deterministic” modelling approach assumes fixed values for loads, material properties ...

On Tuesday, French AI startup Mistral AI released Devstral 2, a 123 billion parameter open-weights coding model designed to ...

LLM-based agentic AI introduces a variety of new systemic risks only partially addressed by the EU AI Act. Gerhard Schimpf ...

Explore the insights of Andrei Marius Popescu on data modeling and the idea that not every model error is a failure.

I can't get no satisfaction,'" said Brian Gregory, CEO of ADMANITY®. "A business owner asks AI to write persuasive product ...

Retail investors who consistently achieve the best results manage financial-market risk the same way institutional investors do - dispassionately and systematically. With regard to bubble fears, this ...

Abstract: A two-layer stochastic model predictive control (MPC) framework is proposed in this article to address uncertainties associated with electric vehicles (EVs) in microgrid energy management.