
Government Halts Anthropic's Advanced AI Model Over Security Concerns
A regulatory intervention over potential vulnerabilities reignites debate about safety disclosure versus market deployment in AI development.

A regulatory intervention over potential vulnerabilities reignites debate about safety disclosure versus market deployment in AI development.

New framework enables robots to grasp and manipulate articulated tools by treating the problem as motion animation rather than traditional manipulation.

Researchers reveal that language model agents fail to adapt effectively when conditions shift, proposing a memory-tracking solution to improve real-world deployment.

New structured courses aim to equip professionals with hands-on expertise in applying large language models and autonomous agents to workplace tasks.

New benchmarking tool aims to streamline how researchers test and iterate on language models throughout their development cycle.

InterleaveThinker uses multi-agent planning to unlock sequential visual storytelling capabilities in existing image models.

The education platform deploys AI-powered lesson synthesis and adaptive feedback to enhance human instruction at scale.

Researchers develop retrieval method that helps language models solve complex problems by finding structurally similar examples rather than semantically matching ones.

A new manufacturing robotics startup challenges the specialized-robot model with machines designed for rapid reconfiguration across multiple tasks.