Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...

Could help break silos, but users should take wait-and-see approach to system limited to Microsoft DBs and DBaaS ...

AI database innovation at Oracle drives a redesigned data platform with vector search, AI agents, stronger privacy controls ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

"The C2 hosts a web-based graphical user interface (GUI) titled 'NEXUS Listener' that can be used to view stolen information ...

This first article in a series explains the core AI concepts behind running LLM and RAG workloads on a Raspberry Pi, including why local AI is useful and what tradeoffs to expect.

Opponents of Boston's White Stadium project have tapped a computer engineer to shape what answers artificial ...

X, a unified engine bringing real-time AI, GPU acceleration, and agentic workflows to capital markets with major performance ...

Over the next few years, AI agents will handle payments, write production code, and make decisions across the internet with ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

What Google's TurboQuant can and can't do for AI's spiraling cost ...