Polarization in the U.S. didn’t rise gradually. A new machine-learning study shows it surged after 2008- but why?
Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...
Abstract: Specific Emitter Identification (SEI) plays a vital role in the fields of electromagnetic spectrum management and electronic warfare. However, existing SEI algorithms typically require ...
Between 2008 and 2020, the United States experienced a relentless increase in “Separation”—the researchers’ metric for the distance between the average opinion of the two groups. By 2024, the degree ...
Divisions within the US population on social and political issues have increased by 64% since 1988, with almost all this coming after 2008, according to a study tracking polarization from the end of ...
Abstract: federated learning (FL) enables decentralized devices to collaboratively train models without sharing raw data. However, when client data is highly heterogeneous, conventional FL often ...
School of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China Previous studies on 10 kV cable intermediate joint defects have mainly focused on typical defect types and ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
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