GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search optimization. Making your brand machine-readable and increasing its chances of being ...

In his book "AI to Eye" Professor Riener argues that Artificial Intelligence has the potential to make the world more ...

Bruce Clay, one of the first generation of search engine optimization experts, has passed away. Much of the terminology that he coined and many of the concepts that he pioneered continue to be used ...

Crystal Carter and Jen Cornwell tackled AI search from opposite angles at SMX Advanced. Together, they reveal why most ...

Abstract: The Willow Catkin Optimization Algorithm (WCO) is a newly proposed meta-heuristic algorithm in recent years that has a simple structure and excellent optimization searching ability, but the ...

AI agents may soon search for and use their own tools at runtime, thanks to a new open standard backed by Microsoft and Google.

Abstract: Cuckoo search (CS) algorithm is a nature-inspired search algorithm, in which all the individuals have identical search behaviors. However, this simple homogeneous search behavior is not ...

The purpose of swarm is to provide a novel clustering algorithm that handles massive sets of amplicons. Results of traditional clustering algorithms are strongly input-order dependent, and rely on an ...

This is the offical implementation of paper Quasi-Dense Similarity Learning for Multiple Object Tracking. We present a trailer that consists of method illustrations and tracking visualizations. Our ...