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

MOIS-linked MuddyWater crew has a new, custom implant An Iranian cyber crew believed to be part of the Iranian Ministry of Intelligence and Security (MOIS) has been embedded in multiple US companies' ...

ProEssentials v10 introduces pe_query.py, the only charting AI tool that validates code against the compiled DLL binary ...

A dish of living human neurons has been taught to play Doom. No, it isn’t conscious or watching the screen the way players do. But it is learning to respond to signals in a way that produces ...

Can a search-first AI beat the world's best reasoning model? I pitted Perplexity against Claude across 7 real-world challenges, from complex research to creative coding. One AI dominated, and it ...

Many enterprise RAG pipelines handle one type of search well and fail silently on the rest. Databricks on March 4 released a new agent called KARL, or Knowledge Agents via Reinforcement Learning, that ...

Welcome to the FTC Solar Fourth Quarter 2025 Earnings Conference Call. [Operator Instructions] Please be advised that today's conference is being recorded. I would now like to hand the conference over ...

Polymers are fundamental to our daily lives, serving as the core components for a wide array of goods, including clothing, packaging, transportation infrastructure, construction materials, and ...