We define an impulse control framework which can generate both cyclical solutions and steady-state solutions. Our model can admit convex and concave profit functions and allows the integration of different stock-dependent profit functions. We show that the strict concavity of the profit function is ...
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Edge ML is enabling technologies in new areas and allowing for novel solutions to problems. Some of these applications will be visible to consumers (such as keyword spotting on smart speakers) while others will be transforming our lives in invisible ways (such as smart grids delivering power more...
Edge Impulseenables developers to create the next generation of intelligent device solutions with embedded Machine Learning. Machine Learning at the very edge will enable valuable use of the 99% of sensor data that is discarded today due to cost, bandwidth or power constraints. Now,Wio Terminalis ...
Recent advancements in Machine Learning (ML) and particularly Deep Learning offer compelling solutions to address the above problems. ML methods require large datasets for training, and existing datasets are either not large enough, contain synthetic data, or are not suitable for room acoustics ...
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