Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

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Boston's pioneering experiment with MCP is laying the groundwork for an 'agentic middleware' for local government, expanding access to public services.

Microsoft has a new centralized dashboard that lets IT teams track AI agents' visibility, permissions, and security risks to ...

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

Abstract: No-insulation (NI) high temperature superconduct-ing (HTS) coils show higher stability than traditionally insulated HTS coils. However, quench remains one of the most crucial issues ...

Abstract: As electricity markets become increasingly complex due to evolving market structures and the integration of renewable energy, optimizing bidding strategies for power generators has become ...

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

Enterprise AI teams are moving beyond single-turn assistants and into systems expected to remember preferences, preserve ...

US-based AI-startup ‘Anthropic’ has introduced a bunch of free learning platforms for beginners and advanced AI (Artificial Intelligence) learners. Se.

Latest VS Code update introduces prepackaged bundles of chat customizations that can include skills, commands, agents, MCP ...

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