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

The real answer is less magic and more mindset: a systems principle called Postel’s Law. In plain language: Be strict in what ...

Hello, and thank you for standing by. My name is Regina, and I will be your conference operator today. At this time, I would like welcome everyone to the Oracle Corporation Third Quarter Fiscal Year ...

Companies are spending enormous sums of money on AI systems, and we are now at a point where there are credible alternatives ...

Boston’s chief information officer on a pioneering experiment leveraging AI to expand the public’s access to government. The next wave of AI will be defined by agentic systems that can take actions: ...

Narrow “shift left” has failed at AI scale. Move from developer-led fixes to AppSec-managed automation that triages findings and delivers tested pull-request fixes so teams can safely manage ...

First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...

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

From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...

Earnings call Oracle posted over 20% organic revenue and non-GAAP EPS growth in USD for Q3 FY26, the first time in more than 15 years. AI infrastructure and multi-cloud database segments grew triple ...

Powered by Gensonix AI DB, Scientel ‘s LLM solution supports multiple DB nodes in a single LLM application Our ...

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 ...