Databricks built a RAG agent it says can handle every kind of enterprise search

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

Google’s AI Mode in Search now lets you plan, write, and code on its own Canvas

Google Search has updated Canvas inside AI Mode, a workspace powered by Gemini that already lets users draft and refine documents, to now support coding projects and interactive tools. With the latest ...

Meet Project Catapult, a super-search machine network being built by Microsoft engineers

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 ...

How to build a context-first AI search optimization strategy

AI-driven discovery depends on semantic depth and retrievable structure. Align language, taxonomy, and schema for modern search visibility.

How to see AI search prompts inside Google Search Console

See how long-tail Google Search Console queries reveal AI-style prompts, plus a regex trick and ways to turn raw data into tracking insights.
IEEE

A Two-Stage Soft-Decision Decoding Algorithm for BCH Codes

Abstract: In this paper, we propose a two-stage soft-decision decoding (SDD) algorithm for BCH codes. At the first stage, we search for test error patterns (TEPs ...
IEEE

A Joint High-Precision Frequency and Code Phase Estimation Algorithm for Iridium NEXT Satellites’ Signals of Opportunity

Abstract: In recent years, Low Earth Orbit (LEO) satellite signals of opportunity (SOPs) positioning technology has emerged a significant alternative to the Global Navigation Satellite System (GNSS), ...