Securities for a tax-efficient, relatively defensive, and sustainable high-yield portfolio. Click here to read what investors ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

The 2026 SPE International Polyolefins Conference will be on February 23-26, 2026 (Monday-Thursday) at the Galveston Island Convention Center in Galveston, Texas. The SPE South Texas Section in ...

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Abstract: The emergence of distributed machine learning has greatly improved the speed of machine learning model training, however, distributed machine learning is prone to be damaged by Byzantine ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Data Science Program, University of Delaware, Newark, Delaware 19716, United States Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States ...

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 ...

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...

MLCommons selected four Georgia Tech students to participate in its 2025 Rising Stars cohort. A two-day Rising Stars workshop was held at Meta’s headquarters in May, where the participants showcased ...