Abstract: Synchronization-induced congestion is a critical performance bottleneck in modern distributed machine learning (ML) training, where simultaneous gradient exchanges create bursty traffic ...
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Abstract: Heart failure is a major global health issue affecting millions of people, and this study presents an interpretable predictive framework using Machine Learning (ML) and Explainable ...
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents. We provide implementations ...
Neville McKay above the 2026 Repco Hawke's Bay Auto Extravaganza at Tōmoana Showgrounds on Easter Sunday. Photo / Paul Taylor A collection of cars and other vehicles has raised nearly $20,000 to train ...
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