Bringing Powerful Machine-learning Systems to Daily-life Devices is coming at 03/04/2019 - 4:00pm
Weniger Hall 151 Mon, 03/04/2019 - 4:00pm Yingyan Lin Assistant Professor, Department of Electrical and Computer Engineering, Rice University Abstract: While recent breakthroughs in machine-learning algorithms' inference performance promise to dramatically transform the way we live and work by enhancing our ability to recognize, analyze, and classify the world around us, such a transformation has yet to be unleashed. This is because powerful machine-learning algorithms come at a cost of prohibitive complexity and energy requirements, whereas most daily-life devices, such as drones, wearables, self-driving cars, and smartphones, have limited energy, computation and storage resources. Towards bringing powerful machine-learning systems to our daily-life devices, the Efficient and Intelligent Computing (EIC) Lab at Rice University explores techniques that highlight a holistic optimization of algorithm-, platform-, and application-level opportunities. In this talk, I will introduce EIC lab’s recently developed techniques that aim to empower daily-life devices with intelligence. Finally, I will share some exciting applications of our current research. Bio: Read more: http://eecs.oregonstate.edu/colloquium/bringing-powerful-machine-learnin... [1] [1] http://eecs.oregonstate.edu/colloquium/bringing-powerful-machine-learning-systems-daily-life-devices
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