Google has filed a lawsuit against SerpApi over massive data scraping on Search results. Is public search data truly free for ...

To get the most from semantic search AI, legal teams should focus on how it transforms the way they interact with their ...

Expertini's semantic matching uses contextual understanding of text to understand meaning behind words. The system converts resumes and job descriptions into numerical vectors, then calculates cosine ...

Your browser does not support the video element. Google's dominance is facing new challenges as search habits shift. Social apps like TikTok and AI chatbots like ...

Anu is a Features author at Android Police. You'll find her writing in-depth pieces about automation tools, productivity apps, and explainers. Before joining AP, she used to write for prominent tech ...

You followed the SEO playbook. You carefully selected keywords, analyzed competing content, and published long‑form articles that filled gaps in coverage for dozens of topics. Yet your Google rankings ...

A new research paper from Google DeepMind proposes a new AI search ranking algorithm called BlockRank that works so well it puts advanced semantic search ranking within reach of individuals and ...

For decades now, Google has been the unquestioned champion of search—our digital oracle, the first and last stop for every question, from “What’s the best pizza place near me?” to “How many protons ...

Perplexity AI launched a comprehensive search application programming interface on Thursday, giving developers direct access to the same massive web index that powers the startup's answer engine and ...

Google is officially launching its AI-powered Search Live feature in the U.S. on Wednesday, which enables mobile users to get real-time information with their voice and phone camera. Previously ...

Vector embeddings are the backbone of modern enterprise AI, powering everything from retrieval-augmented generation (RAG) to semantic search. But a new study from Google DeepMind reveals a fundamental ...

Today's enterprises need unified semantic layers that seamlessly connect traditional BI, GenBI applications, and emerging AI workloads. As organizations face challenges in making enterprise data truly ...