Google’s Recommender System Breakthrough Detects Semantic Intent

Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

Researchers develop non-destructive spectrometry technique for analyzing fragile archaeological ivory

A research team led by Prof. Wang Zhenyou at the Aerospace Information Research Institute of the Chinese Academy of Sciences ...

A 90-day SEO playbook for AI-driven search visibility

Answer-first content, structured data, and authority signals shape AI-driven search. This 90-day plan explains how to put them into practice.
NERDBOT

How AI Data Matching Works: From Search Query to Perfect Dataset

Introduction Artificial Intelligence lives on data. Without data, large language models (LLMs) cannot learn, adapt, or make ...
IEEE

Grover Adaptive Search With Fewer Queries

Abstract: In binary optimization problems, where the goal is to find the input $\boldsymbol {x}$ that minimizes a given objective function, Grover adaptive search (GAS) is a well-known quantum ...
IEEE

An Efficient Iterative Beam Search for Human–Robot Collaborative Assembly Line Balancing

Abstract: Modern cyber–physical systems (CPSs) and IoT-enabled smart factories rely on human–robot collaboration (HRC) to combine human intuition and robotic precision in real time. Balancing such HRC ...