Mount Sinai study multi-agent AI shows higher accuracy and lower computing use managing up to 80 clinical tasks simultaneously in simulations.

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

Before rain begins to fall, scientists and engineers can predict where a storm might cause flooding thanks to advanced modeling and digital simulations that help guide billion-dollar decisions ...

The LLM race stopped being a close contest pretty quickly.

Microsoft has introduced a centralized dashboard to help IT teams monitor AI agents' visibility, permissions, and security ...

Ansys 2026 R1 introduces generative AI and the portfolio's first agentic capabilities, bolstering an AI-enhanced portfolio that accelerates validation, speeds design exploration, and automates complex ...

At its Synopsys Converge event currently underway in Santa Clara, the company announced an array of tools and initiatives to ...

In a sport dominated by agents and intermediaries, Kylian Mbappé’s career is run another way. At the center is his family supported by a small circle of advisers who helped turn a young talent from ...

Abstract: Generative AI enables agent-based smart manufacturing to achieve flexible and reactive decision-making with pre-trained models. However, AI agents remain weak in plan verification and are ...

Penetration testing is undergoing a structural shift. For years, automation meant running scanners faster or scripting repetitive tasks. Today, a new class of tools is emerging, agentic AI systems ...

Fainite is developing a physics-aware AI platform to accelerate simulation workflows, reduce engineering complexity and ...

Building on lessons from an internal agent SDK called “Breadboard”, the agent step is not just another node in a workflow — ...