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.

5 Best Practices To Increase Your Brand Visibility On AI Search Engines

For marketers seeking to have their brand appear in AI answers to search queries, generative engine optimization (GEO) has quickly become a discipline worth investing in.

How to revise your old content for AI search optimization

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

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 ...
IEEE

Hybrid Harmony Search Algorithm Integrating Differential Evolution and Lévy Flight for Engineering Optimization

Abstract: Harmony search algorithm (HSA) is extensively utilized in engineering optimization. Nevertheless, it encounters problems of slow convergence and reduced accuracy, which hinder its capability ...
IEEE

Robot Teamwork: Active and Passive Search Algorithms. Separate Issues of Management in Swarm Robotics

Abstract: This work investigates the possibility of adapting the tandem running algorithm to implement teamwork of a swarm of robots. It is shown that the application of teamwork algorithms, which ...