Simulation-based learning approaches this challenge differently. Rather than optimizing for knowledge transfer, simulations ...

Synopsys stock analysis: wide moat, AI-driven chip complexity growth, and Ansys deal impact. Read more macro analysis here.

A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, learning-based systems capable of evolving alongside intelligent adversaries.

Could AI agents destroy the economy in 2026? Explore systemic risks, market instability, job loss, and prevention strategies.

The use of artificial intelligence (AI) agents, systems that learn to make predictions, generate content or tackle other ...

They can shop, book flights, and control your apps—at least in theory. In practice, today’s AI agents are slow, error-prone, ...

This year marks a shift from AI pilots to full deployment—ushering in a new era of AI performance for enterprises.

Key TakeawaysDigital twins are ultra-accurate computer-based simulations of complex physical systems used for exploring "what ...

VALT introduces human-in-the-loop identity control that ensures AI agents act only with cryptographically verified ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

Objectives We aim to use an agent-based model to accurately predict the spread of COVID-19 within multiple US state prisons. Design We developed a semistochastic transmission model of COVID-19.