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

Researchers from the Johns Hopkins Kimmel Cancer Center and The Johns Hopkins University have created a novel database structure that allows investigators anywhere to more easily study multiple types ...

TanStack Query has once again secured first place as the most popular library, while the React feature Server Components ...

The thick client is making a comeback. Here’s how next-generation local databases like PGlite and RxDB are bringing ...

A developer-targeting campaign leveraged malicious Next.js repositories to trigger a covert RCE-to-C2 chain through standard ...

OnchainDB leverages Celestia's upcoming Fibre upgrade to create micropayment-enabled database infrastructure for AI agents, turning every API call into a monetizable transaction. Celestia's modular ...

Google rapidly expanded AI Overviews in search during 2025, then pulled back as they moved into commercial and navigational queries. These findings are based on a new Semrush analysis of more than 10 ...

Warehouse-native access is emerging as the fastest, safest path to unified customer intelligence. It isn't without its challenges. As customer data platforms (CDPs) continue to evolve, zero-copy ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

Earlier this month, when U.S. District Judge Amit Mehta issued penalties against Google for monopolizing the search engine market, he stopped short of the harshest ones — like forcing the breakup of ...

Abstract: Efficiently retrieving relevant data from massive Internet of Things (IoT) networks is essential for downstream tasks such as machine learning. This paper addresses this challenge by ...