The infinite tail: When search demand moves beyond keywords

AI search expands the long tail into endless prompt variations. Here’s how fan-out queries, grounding, and task completion ...

A 2026 guide to AI optimization: What it is, why it matters, and how to get cited

WebFX reports that AI optimization is crucial for businesses, focusing on getting cited by AI platforms like ChatGPT and ...

New KV cache compaction technique cuts LLM memory 50x without accuracy loss

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...
Ecommerce Fastlane

LLM Optimization: How To Get AI To Cite Your Brand

Think about the last time you searched for a product. Chances are, you didn’t just type a keyword; you asked a question. Your customers are doing the same, ...
IEEE

LSM HB-Tree: An LSM Tree Augmented With Hierarchical B-Tree for Efficient Range Query Processing on Blockchain Data

With the rapid proliferation of blockchain technology, the volume of stored data has increased dramatically. Existing blockchain systems typically employ a key–value storage model, which is efficient ...
IEEE

A Hybrid Swarm Intelligence Model for Efficient Query Optimization in Distributed Databases Using Genetic and Ant Colony Algorithms

Abstract: Optimisation of queries in distributed databases is more imperative to enhance the processing rate and use of resources with limited computational abilities. This work presents a novel ...