首页|Researchers at Ohio State University Have Published New Data on Machine Learning (Controlling chaos using edge computing hardware)
Researchers at Ohio State University Have Published New Data on Machine Learning (Controlling chaos using edge computing hardware)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting from Ohio State University b y NewsRx journalists, research stated, "Machine learning provides a data-driven approach for creating a digital twin of a system - a digital model used to predi ct the system behavior."Financial supporters for this research include United States Department of Defen se | U.S. Air Force. Our news journalists obtained a quote from the research from Ohio State Universi ty: "Having an accurate digital twin can drive many applications, such as contro lling autonomous systems. Often, the size, weight, and power consumption of the digital twin or related controller must be minimized, ideally realized on embedd ed computing hardware that can operate without a cloud-computing connection. Her e, we show that a nonlinear controller based on next-generation reservoir comput ing can tackle a difficult control problem: controlling a chaotic system to an a rbitrary time-dependent state. The model is accurate, yet it is small enough to be evaluated on a field-programmable gate array typically found in embedded devi ces."
Ohio State UniversityCyborgsEmerging TechnologiesMachine Learning
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