Bakos leading study that applies machine learning in new domain

Jason Bakos of the College of Engineering and Computing has received a grant from the National Science Foundation to design processors capable of real-time machine learning of the behavior and response of high-rate dynamic systems. This study is expected to produce technology that will improve the reaction time of high-energy systems such as ballistics, airbag deployment and high-speed vehicle control.

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