Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

AI rewards clear answers and structured, retrievable content. Learn how to reformat, prioritize, and refine metadata for ...

Microsoft engineers are working on Project Catapult, utilizing field-programmable arrays (FPGAs) that Microsoft can modify specifically for use on its own software such as Bing. This allows for faster ...

For some years now, groups, universities, organizations and authorities have developed and implemented AI for data analysis, tattoo identification, facial recognition and to give a voice to the ...

Here's a short list of search engines I recommend that don't push AI and instead go the old-school route with actual website results.

Las Vegas, NV - January 27, 2026 - PRESSADVANTAGE - Press Advantage, a leading press release distribution service, has ...

Google's John Mueller said that when it comes to AI Search and the changes that come with that, Google's core search algorithms, spam detection methods, spam policies, and other search systems do not ...

Welcome to the artifact repository of OSDI'25 accepted paper: Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD! This repository contains the ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...

Researchers at the University of Kent, UK, introduced LiteRBS (Lightweight and Rapid Bidirectional Search), a novel grid-based pathfinding algorithm designed for efficient and scalable navigation in ...