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 ...

Computing and data shape nearly every aspect of modern life. In recent years, efforts to expand data and computing education in K-12 settings have grown rapidly but unevenly. A new National Academies ...

We introduce VeriStruct, a novel framework that extends AI-assisted automated verification from single functions to more complex data structure modules in Verus. VeriStruct employs a planner module to ...

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 ...

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 ...

3d rendered animation, seamlessly loopable. Perfectly usable for all kinds of topics related to data and digital analytics or economics, banking and investment. 3d rendered animation, seamlessly ...

Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability of decision ...

This useful manuscript provides a newly curated database (termed AACDB) of antibody-antigens structural information, alongside annotations that are either taken and from the PDB, or added de-novo.

Abstract: The fast and efficient in situ inspection of aircraft engine blades is crucial for maintaining the safety and reliability of aircraft engines. The automation and intelligence of aeroengine ...