Monday cybersecurity recap on evolving threats, trusted tool abuse, stealthy in-memory attacks, and shifting access patterns.
This week, we are excited to kick off SQLCon 2026 alongside FabCon in Atlanta. Bringing these SQL and Fabric communities together creates a unique opportunity to learn, connect, and share what’s next ...
The Hacker News is the top cybersecurity news platform, delivering real-time updates, threat intelligence, data breach ...
For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded ...
A concise, hands-on repo to accompany the presentation “Modern SQL: Vector Search with Embeddings.” modern-sql-vector-search/ ├─ slides/ # Slide deck ├─ src/ │ └─ sql/ │ ├─ 01-schema.sql # Tables + ...
Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.
Several Vector Capital limited partners such as Adams Street Partners, J.P. Morgan Asset Management, the External Investing Group at Goldman Sachs Asset Management, Angeles Investments, Lexington ...
Abstract: The vector database stores data as high-dimensional feature vectors. Some recently proposed attack techniques enable an adversary to launch feature vector inversion (FVI) attacks against ...
人人都是产品经理 on MSN
时态智能AI代理:构建能感知时间变化的下一代RAG知识系统
RAG正在进化,但真正的突破不在参数,而在时间维度。如何让AI代理理解“知识的时间性”?如何在系统中嵌入“时态感知”的机制?本文以产品视角切入,提出“动作-时间-知识”三元协同模型,为AI产品经理提供下一代知识系统的设计思路。 用于回答问题的 RAG 或代理架构依赖于随着时间的推移不断更新的动态知识库,例如财务报告或文档,以便推理和规划步骤保持逻辑和准确。 为了处理这样的知识库,其中规模不断增长, ...
Abstract: The emergence of generative AI (GenAI) is a major driving force behind the modern data science ecosystem, a field that exploits data as the central asset for actionable insights. Analogously ...
A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...
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