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

And if you have, you probably think AI is the next bubble. Humans are great at pattern-matching. We’ve evolved to see ...

Grammarly’s Expert Review feature is facing backlash for using real expert personas without approval, including at least one ...

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

Process Diverse Data Types at Scale: Through the Unstructured partnership, organizations can automatically parse and transform documents, PDFs, images, and audio into high-quality embeddings at ...

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

Anthropic introduces a new AI job disruption tracker to measure how automation from large language models could affect occupations and workforce trends over time.

Morgan Stanley Technology, Media & Telecom Conference 2026 March 3, 2026 7:05 PM ESTCompany ParticipantsSridhar Ramaswamy - ...

When Anthropic launched the Model Context Protocol (MCP) in 2024, the idea was simple but powerful – a universal “USB-C” for ...

Discover CoPaw, the open-source personal AI assistant from Alibaba's AgentScope team. Learn how its ReMe memory system, local ...

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 ...