Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...

Anthropic’s Claude models are now generally available in Microsoft Foundry, giving Azure developers and enterprise application teams another major frontier model option inside Microsoft’s cloud AI ...

Princeton’s CEO-Bench gave 14 AI models $1 million to run a simulated SaaS startup for 500 days. Most went bankrupt or lost ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...

With the latest enhancements to Apple Intelligence™ and the introduction of Siri® AI, developers can make their apps’ content and capabilities more discoverable and accessible across the system.

The 2026 Tesla Model 3 compact electric sedan still heads its class, almost a decade after its launch. This is partly down to four reasons: judicious updates that culminated in the major Highland 2024 ...

Six months after Anthropic shipped a plugin system for Claude Code, the most-installed extensions on the platform have nothing to do with new capabilities. They are opinionated rulebooks — and the ...

For decades, psychology’s conversation about adversity focused largely on disease or disorder: what trauma breaks, how violence harms, and why suffering lingers. Sherry Hamby has spent much of her ...

For more than 50 years, U.S. academic medical centers (AMCs) have been the global engine for pharmaceutical innovation. These university-affiliated hospitals are dedicated to fulfilling the mission ...

Every major consultancy is selling an AI governance framework right now. The market is crowded: maturity models, policy templates, ethics checklists, responsible AI principles. Most of them are ...

One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs).