One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Stonebraker essentially abandoned Postgres in the mid-1990s. But instead of fading into obscurity, the codebase was salvaged ...

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Abstract: In recent years, the amount of data has become steadily larger than it used to be, resulting in the emergence of so-called big data, which makes it very difficult to handle and query data ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Abstract: As organizations increasingly rely on collaborative relational analytics over private databases, secure multi-party computation (MPC) has emerged as a key solution to process private data.

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

Spread the love“`html 1. Understanding MySQL and Its Importance MySQL is one of the most popular relational database management systems (RDBMS) in the world, powering countless applications ranging ...

Tech leaders are under pressure to satisfy growing demand for AI while keeping a lid on costs. That is becoming harder as ...

IBM is introducing a variety of AI tools to IBM SQL Data Insights Pro (SQL DI Pro), generally available as of March 2026, offering semantic search, similarity discovery, anomaly detection, and unified ...

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

Python’s lead narrows again, C holds the runner-up spot, C++ returns to third, and SQL climbs back above R in June’s top 10 ...