Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents

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

The Origins of GPU Computing

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...
FedScoop

MongoDB’s Jonathan Janos on building interoperable architectures

Jonathan Janos, Principal Solutions Architect at MongoDB, discussed effective approaches to modernizing legacy systems ...
IEEE

Optimization of Edge Computing-Based Architecture for Parallel Processing of Real-Time Data Streams for IoT

Abstract: In order to improve the parallel processing efficiency of real-time IoT data streams in edge computing environment, we construct a reinforcement learning-driven dynamic task partitioning ...
IEEE

Hybrid Data Storage Architecture: A Novel Design Approach Based on Microservices Architecture

Abstract: Due to the diverse storage and performance requirements of modern data-driven environments, choosing between relational and non-relational database systems is a complex decision, as each ...
Forbes

Oracle AI Database Agentic AI: New Features Address Enterprise Data Pipeline Problem

Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI Database, enabling AI agents to securely access enterprise data where it already exists, rather than requiring ...