By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Abstract: Federated learning (FL), an emerging distributed machine learning paradigm, utilizes edge decentralized data from multiple edge nodes (clients) to train a shared model under preserved data ...
The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...
Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...
For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
JIANGYIN , JIANGSU, CHINA, January 19, 2026 /EINPresswire.com/ -- The global converting industry, encompassing sectors ...
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 ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
Abstract: ECG signals are vital for diagnosing cardiovascular diseases, but artifacts like power line interference, baseline wander, and motion artifacts hinder accurate interpretation. This study ...
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