AI framework fuses data and literature to speed high-entropy alloy discovery

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

AI method accelerates liquid simulations by learning fundamental physical relationships

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
Unite.AI

Unlocking the Last Mile of Enterprise AI with Federated, Data-Level Intelligence

Enterprise AI adoption is widespread in ambition and uneven in execution. Across industries, organizations are experimenting with machine learning and generative models, training teams, and deploying ...
AZoSensors

Low-Power Sensor Node Brings Machine Learning to the Edge of Environmental Monitoring

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...
IEEE

Transitioning From Federated Learning to Quantum Federated Learning in Internet of Things: A Comprehensive Survey

Abstract: Quantum Federated Learning (QFL) recently becomes a promising approach with the potential to revolutionize Machine Learning (ML). It merges the established strengths of classical Federated ...
Frontiers

Technical and legal aspects of federated learning in bioinformatics: applications, challenges and opportunities

Federated learning leverages data across institutions to improve clinical discovery while complying with data-sharing restrictions and protecting patient privacy. This paper provides a gentle ...
Scientific Research Publishing

Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Nitin Bhagoji, A. et al. (2021). Advances and Open Problems in Federated Learning. Foundations and Trends in ...

ABSTRACT: Diversity, Equity, and Inclusion (DEI) initiatives are pivotal for fostering inclusive environments and promoting equal opportunities within organizations. However, the collection and ...
Scientific Research Publishing

Yang, Q., Liu, Y., Chen, T. and Tong, Y. (2019) Federated Machine Learning: Concept and Applications. ACM Transactions on Intelligent Systems and Technology, 10, 1-19.

ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...