Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

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 ...

Health systems evaluating AI must look beyond datasets and algorithms to understand the assumptions and priorities embedded within the applications themselves.

Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. This voice experience is generated by AI. Learn more. This voice ...

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 ...

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, ...

White House Press Secretary Karoline Leavitt reveals Americans will hold six of seven board seats controlling TikTok’s U.S. operations under a proposed framework agreement with China. The deal, which ...

Abstract: This paper addresses the challenges of structural complexity and sample bias in high-dimensional imbalanced data mining by proposing a reinforcement learning-controlled subspace ensemble ...