Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

ETH Zurich tests AGENTS.md and context files on 438 tasks, finding developer-written notes raise performance about 4% while increasing spend ...

Intuit lost 42% of its market cap as AI agents threaten to replace QuickBooks and TurboTax. Here's what the company says agents can't replicate.

Are AGENTS.md files actually helping your AI coding agents, or are they making them stupider? We dive into new research from ETH Zurich, real-world experiments, and security risks to find the truth ...

Agentic AI is already woven into the product roadmaps of nearly every major tech platform. It’s the layer many apps now use to get things done without constant human steering, a ...

OpenAI launches GPT-5.4, calling it its most capable and efficient AI model yet, with AI agents, computer control, improved reasoning, and a 1M-token context.

Learn how to integrate HSMs for Post-Quantum Key Encapsulation in MCP environments. Protect AI infrastructure with ML-KEM and quantum-resistant hardware.

Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

Learn how to secure Model Context Protocol (mcp) deployments with post-quantum cryptographic agility and granular resource governance to prevent quantum threats.

Unified data-to-model lifecycle secured by the new Red Hat AI Python Index. This trusted repository delivers hardened, enterprise-grade versions of critical tools—including Docling, SDG Hub, and ...