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

A side-by-side comparison of ChatGPT and Google Gemini, exploring context windows, multimodal design, workspace integration, search grounding, and image quality.

OAuth redirection is being repurposed as a phishing delivery path. Trusted authentication flows are weaponized to move users ...

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback disputes were still managed manual ...

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 ...

Financial advisors who are curious about vibe coding have many free or relatively cheap options to help them get started.

A groundbreaking computational tool, Chatter, is revolutionizing the study of animal communication. By analyzing ...

It is impossible for most industries to escape calls for AI augmentation, and cyber security is no exception. Yet some voices in the security community ...

Can a search-first AI beat the world's best reasoning model? I pitted Perplexity against Claude across 7 real-world ...

This is where things like the Gherkin format and Cucumber can be useful. They serve as the cornerstone of behaviour-driven testing implementation in general by providing the teams with tools to write ...

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.

A new technology advance has led to the introduction of new actuators that combine motor, drive, gearing, and feedback into a single CANopen device that relieves much of the burden of traditional ...