As AI deployments scale and start to include packs of agents autonomously working in concert, organizations face a naturally amplified attack surface.

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

The convergence of cloud computing and generative AI marks a defining turning point for enterprise security. Global spending ...

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

The post OpenClaw Explained: The Good, The Bad, and The Ugly of AI’s Most Viral New Software appeared first on Android Headlines.

Anthropic’s Claude Opus 4.6 identified 500+ unknown high-severity flaws in open-source projects, advancing AI-driven vulnerability detection.

Discover Claude Opus 4.6 from Anthropic. We analyze the new agentic capabilities, the 1M token context window, and how it outperforms GPT-5.2 while addressing critical trade-offs in cost and latency.

Ragas async llm_factory uses max_tokens instead of max_completion_tokens model arg for open ai gpt 5.2. Im using ragas to evalute answers of our chatbot based on answer faithfulness and relevancy.

We release the model for nine characters mentioned in the paper. Due to the license used by Llama 1, we release the weight differences and you need to recover the weights by runing the following ...

The smallest robots with integrated sensing, computation, and motion control have been stuck at the millimeter scale for more than two decades. That threshold, first reached in the early 2000s, has ...