Abstract: Fuel cell systems are emerging as a strong alternative to traditional power sources due to their high energy efficiency, greater energy density, and zero emissions. However, their relatively ...
Abstract: This article establishes an ameliorated equivalent magnetic network (AEMN) model for the modeling and analysis of the permanent magnet synchronous motor (PMSM) used in compressors. A novel ...
Pairing VL-PRMs trained with abstract reasoning problems results in strong generalization and reasoning performance improvements when used with strong vision-language models in test-time scaling ...
SAN FRANCISCO, Dec 3 (Reuters) - Nvidia on Wednesday published new data showing that its latest artificial intelligence server can improve the performance of new models - including two popular ones ...
Accurate predictions of earthquakes are crucial for disaster preparedness and risk mitigation. Conventional machine learning models like Random Forest, SVR, and XGBoost are frequently used for seismic ...
Nov 26 (Reuters) - Sports technology firm Enhanced said on Wednesday it will go public in the U.S. through a merger with special purpose acquisition company A Paradise Acquisition Corp (APAD.O), opens ...
Associate Teaching Professor Cecil Joseph remembers the first time he taught physics in one of UMass Lowell’s Technology Enhanced Active Learning (TEAL) classrooms. Instead of facing rows of students ...
WASHINGTON, Nov 24 (Reuters) - U.S. President Donald Trump on Monday signed an executive order to launch a government-wide effort to build an integrated artificial intelligence platform to harness ...
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