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

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

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.

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.

GitHub’s Octoverse 2025 report reveals a "convenience loop" where AI coding assistants drive language choice. TypeScript’s 66% surge to the #1 spot highlights a shift toward static typing, as types ...

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.

Dhanbad is conducting a capacity building training programme on information technology and computer skills for tribal students studying in Eklavya Model Residential Schools (EMRS) in Jharkhand.

This study used pupillometry to provide an objective assessment of a form of synesthesia in which people see additional color when reading numbers. It provides convincing evidence that subjective ...

Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...

This study presents valuable findings implicating nuclear export in the regulation of protein condensate behaviour and TDP-43 phase behaviour, suggesting a link to pathogenic aggregation in ALS/FTD.