Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to ...

Quantum Hermite transform is a new quantum algorithm that could improve AI, simulations, and future quantum computing ...

"Idempotent" may be jargon, but the term performs an important job in HTTP as a hall pass that gives reverse proxies and ...

Alteryx, Inc., an AI-ready data and analytics company, is expanding its cloud-native analytics capabilities with Live Query for Snowflake-enabling organizations to execute data transformation, ...

As our platform evolves, we're looking for a senior Database Administrator with deep Azure SQL expertise to help us manage performance, scalability, and cost in a more structural and proactive way.

Small extracellular vesicles (sEVs) are heterogeneous biological vesicles released by cells under both physiological and pathological conditions. Due to their potential as valuable diagnostic and ...

The behavior of language models is influenced by the prior context provided in prompts. Depending on whether you pick synthesis or shake, the next row looks very different — Vishal Misra Contextual ...

Artificial intelligence is changing how organisations use data. Tasks that once required complex queries and manual analysis can now be done in minutes with modern analytics platforms. Because of this ...

PARTNER CONTENT The past two years have seen an unprecedented wave of investment across the data platform landscape. Databricks, Snowflake, Salesforce, and others have spent billions acquiring ...

Choosing the right data platform is critical for the modern enterprise. These platforms not only store and protect enterprise data, but also serve as analytics engines that source insights for pivotal ...

A web-based internal database management tool that allows users to connect and query databases using AI text-to-sql. Querro takes a pragmatic approach to web development, using proven server-side ...

A new open-source framework called PageIndex solves one of the old problems of retrieval-augmented generation (RAG): handling very long documents. The classic RAG workflow (chunk documents, calculate ...