Configure Cursor MCP servers step by step: stdio and HTTP transports, CLI auth, tool approval tiers, and a full working ...

Custom model code is scanned and approval is bound to its ...

Hello, good evening, this is Yasharia!"I did this same task on this table last month." "For some reason, one column got an ...

How I turned 2,565 Arabic news reports on Lebanon’s war into 234 auditable incidents with Python, Media Cloud, and a ...

Build code-free pipelines with Live Query + BigQuery. Use Gemini securely within your data platform to process and analyze unstructured data.

Paper2Agent, published in Nature on September 16 by Stanford researchers, converts static research papers into callable AI agents via MCP servers in 45 minutes for $14. The system validates tools ...

AI training-data startup AfterQuery has reportedly raised a round that valued it at $3.2 billion. This just five months after announcing its $30 million Series A at a $300 million valuation in April.

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. AfterQuery founders Carlos Georgescu, 22, and Spencer Mateega, 23, pose for a photo in San ...

Now Generally Available, Variant enables teams to achieve structured data performance on semi-structured data for up to 30x faster reads Variant seamlessly handles unpredictable schema changes, so ...

R&D teams frequently ask why they need Benchling AI agents when they already have access to an enterprise AI assistant through their company agreement and can connect it to Benchling via MCP.

Usually, when asking an LLM — abbreviation for "Large Language Model" — for a neat, structured output like JSON objects, for instance, a mix of careful prompt crafting with a "pinch" of luck is ...