Beyond RAG: Why every AI search platform is now agentic and what that means for your content

AI search has outgrown simple RAG. Learn how today’s hidden AI retrieval systems decide whether your content gets surfaced or ...
Microsoft

Microsoft 365 Roadmap | Microsoft 365

Microsoft 365 Business with Copilot introduces an integrated solution designed specifically for small businesses, combining productivity apps, security, and AI in one offering. You get built-in ...
InfoQ

Autonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
GitHub

D2TS - Differential Dataflow in TypeScript

D2TS is a TypeScript implementation of differential dataflow - a powerful data-parallel programming framework that enables incremental computations over changing input data. You can use D2TS to build ...
Scientific Research Publishing

Comparing Large Language Models for Generating Complex Queries ()

1 Faculty of Science, Ontario Tech University, Oshawa, Canada. 2 Faculty of Business and IT, Ontario Tech University, Oshawa, Canada. 3 Legion Development Group, Oshawa, Canada. This study presents a ...
IEEE

Resilient Intrusion Detection Models for Closed Control-Loop in Cyber-Physical Systems: Combating Adversarial Examples

Abstract: With the increasing prevalence of machine learning and its application in Intrusion Detection Systems (IDSs) for Cyber Physical Systems (CPSs), where safety and reliability are critical, the ...
www.cs.utexas.edu

Loop Peeling: An Example Changer

This appendix shows how to use a Changer to perform loop peeling. This example provides a good illustration of how the AST can be manipulated. Loop peeling is a transformation that moves the first ...
Microsoft

Know What I don’t Know: Handling Ambiguous and Unknown Questions for Text-to-SQL

The task of text-to-SQL aims to convert a natural language question into its corresponding SQL query within the context of relational tables. Existing text-to-SQL parsers generate a “plausible” SQL ...