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

The gap is stark. While as many as 82% of carriers now use some form of AI in their operations, just 7% have reached what Sedgwick calls scalable success – the point where AI is embedded across the ...

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.

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

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

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 ...

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 ...

Unstructured testing can destabilize campaigns and waste budget. Learn how agentic AI helps structure smarter marketing ...

Mainstream chatbots presented varying levels of resistance to deliberate requests for fabrication, study finds.

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

How Specialised AI Search Engines Are Disrupting Markets and Attracting Record Investment For more than two decades, the ...