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

Instructor Aileen Abitong conducted computer class Wednesday with her students at Kulia Academy, the first school in the ...

Explore India's need to embrace neurotechnology, addressing policy, ethics, and economic implications in a rapidly evolving landscape.

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 ...

They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from ...

Le Ky Nam, an eighth-grade student in Hanoi, brought home a bronze medal from the International Artificial Intelligence Olympiad 2026, competing against students from leading technology nations.

Morgan Stanley Technology, Media & Telecom Conference 2026 March 2, 2026 2:30 PM ESTCompany ParticipantsEd Grabscheid - ...

AI in architecture is moving from experimentation to implementation. An AJ webinar supported by CMap explored how practices are applying these tools to live projects, construction delivery and operati ...

Batman/Static: Beyond #4 arrives March 4th with Earth plunged into darkness as Batman and Static work to restore the light; Icon and Superman negotiate Earth's en ...

Discover how quantitative analysts, or quants, use advanced mathematical models to predict market trends and identify lucrative investment opportunities.

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.

Many in the chemical process industries (CPI) view generative artificial intelligence (genAI) as a powerful augmentation ...