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.

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

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...

Working with a certified implementation partner is a risk mitigation strategy that ensures the Lakehouse is not only deployed but also optimized for scalability, security, and cost efficiency from day ...

Data platforms have moved from static, disconnected systems to integrated environments where analytics and real-time data ...

Organized under IEEE, one of the world’s leading professional technology associations, the conference emphasized applied innovation over theoretical experimentation ...

As enterprises accelerate AI adoption, the gap between experimentation and real-world impact remains stark.

The race to develop a virtual scientist—an AI creation that conducts every stage of research, from idea to publication—has consumed researchers, start-up founders, and tech juggernauts alike. It has ...

Gabriel Gomes believes the future of chemistry is as much about flasks and fume hoods as it is about code. A chemical engineer at Carnegie Mellon University, Gomes works at the intersection of ...