Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ...
Abstract: The integration of virtual synchronous machine (VSM) constitutes both a promising approach and a new challenge for maintaining power system stability, especially given the increasing ...
Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...
Angie received her M.S. in computer science with a concentration in machine learning from The George Washington University ...
Abstract: Rotating machines are crucial in industries for reliable system operation, but unexpected failures can result in significant financial losses and personnel damage. Hence, fault diagnosis is ...
In recent years, big complex data sets have been generated using omics analysis, necessitating the use of various bioinformatics and computational tools for analysis and interpretation. The ...
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