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Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Aran Nayebi, an assistant professor in the Machine Learning Department in CMU's School of Computer Science, is part of a research team that created a virtual zebrafish that acted like a real zebrafish ...
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