Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

Breaking up is hard to do when it comes to large pull requests, so GitHub is stacking things in favor of development teams ...

Nearly 80 percent of organizations now use AI in at least one core business process, according to McKinsey, yet widespread adoption has surfaced a persistent problem: a deep shortage of professionals ...

When Zaharia started work on Spark around 2010, analyzing "big data" generally meant using MapReduce, the Java-based ...

Abstract: DNA-based data storage has emerged as a compelling alternative to traditional media due to its ultra-high information density and long-term stability. However, the high read cost caused by ...

Compare the top 5 customer identity and access management (CIAM) platforms in 2026 to find the right fit for your product's ...

Abstract: The increasing prevalence and growing size of data in modern applications have led to high costs for computation in traditional processor-centric computing systems [1–20]. To mitigate these ...

The proliferation of AI is changing the nature of cyberattacks, with enterprises exposed to targeted, fast-moving threats. Gaps in governance and guardrails around AI adoption are expanding the attack ...

AI-Driven Development (vibe coding) on Databricks just got a whole lot better. The AI Dev Kit gives your AI coding assistant (Claude Code, Cursor, Antigravity, Windsurf, etc.) the trusted sources it ...

Training next-generation code generation models requires high-quality datasets, yet existing datasets face difficulty imbalance, format inconsistency, and data quality problems. We address these ...

At this bigger-than-ever GTC, Huang made it clear that Nvidia is gunning to command the levers of the entire AI factory hardware and software stack, though of course it’s leaving plenty of room for ...