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

Perplexity announced Computer for Enterprise at its Ask 2026 developer conference, launching a multi-model AI agent with Slack integration, Snowflake connectors, and 20 orchestrated AI models to ...

Starting in September 2026, you can become a part of the Best Internship in Retail (BIIR) Program, alongside 50+ fellow interns! As an Ecommerce Data Analyst Intern, you'll support our Ecommerce and ...

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: ...

This article was originally published on the NVIDIA blog.Artificial intelligence (AI) is one of the most powerful forces shaping the world today. It is not a clever app or a single model; it is ...

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 ...

On the call today are Chairman and Chief Technology Officer, Lawrence Ellison; Chief Executive Officer, Clay McGork; Chief Executive Officer, Mike Cecilia; and Principal Financial Officer, Doug Caring ...

Operational penetration testing is a process of simulating real-world attacks on OT systems to identify vulnerabilities before cybercriminals can exploit them, either physically or remotely. OT ...