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 use AI response patterns to build better content

LLM answers vary widely. Here’s how to extract repeatable structural, conceptual, and entity patterns to inform optimization and positioning.
IEEE

Detecting Adversarial Examples Using Cross-Modal Semantic Embeddings From Images and Text

Abstract: Deep learning models are highly susceptible to adversarial attacks, where subtle perturbations in the input images lead to misclassifications. Adversarial examples typically distort specific ...
IEEE

AIvaluate: A Multi-Agent Framework for Automated Answer Script Evaluation Using Large Language Models and Semantic Vector Indexing

Abstract: In conventional educational environments, it is labor-intensive, subjective, and susceptible to human error to hand-mark descriptive answers. This article ...
Searchenginejournal.com

77% Of ChatGPT Users Treat It As A Search Engine, Per Adobe Express

77% of ChatGPT users say they use it as a search engine. Gen Z leads adoption, with 28% starting their searches in ChatGPT. Nearly one in four ChatGPT users surveyed prefer it over Google. Per a ...