New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

Where do AI systems lose confidence in your content? Discovery, selection, crawling, rendering, and indexing hold the answer.

However, maintaining vast rail infrastructure networks has become increasingly complex as aging assets, extreme weather events, and rising traffic volumes place additional strain on tracks and ...

Abstract: The core of array ultrasonic full matrix data inspection lies in establishing a theoretical model of full matrix data. Existing theoretical models generally assume that the tested specimen ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

Unpacking how data, when translated with empathy and precision, can cut through fear and misinformation, helping patients make informed health care decisions. On this episode of "What's Health," using ...

Hefei National Research Center for Physical Sciences at the Microscale and CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, ...

Forbes contributors publish independent expert analyses and insights. Anisha Sircar is a journalist covering tech, finance and society. A preliminary TikTok deal proposes U.S. investors own 80% of its ...