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

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...

Alarm bells are ringing in the open source community, but commercial licensing is also at risk Earlier this week, Dan ...

The term “vibe coding,” coined by Andrej Karpathy in 2025, sent the tech world into a frenzy. The idea was simple but ...

Phil Bernstein and Vincent Guerrero present four areas where AI will develop fast in the architectural profession in 2026, ...

To build a strong elite workforce in artificial intelligence, Vietnam needs to identify and nurture promising students as ...

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

Overview PyTorch courses focus strongly on real-world Deep Learning projects and production skills.Transformer models and NLP training are now core parts of mos ...

Training large language models is brutally expensive. It’s not just about having more GPUs; it’s about how efficiently you use them. And as models scale up, even small inefficiencies can turn into ...

Discover the hidden dangers of sycophantic AI. Learn why chatbots prioritize flattery over facts, the risks of delusional spiraling, and how to stop LLMs from simply telling you what you want to hear.

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

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