Advancing Robotic Brains and Bodies with Daniela Rus - #515
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Optimizing Neural Networks for Efficiency and Compactness
This chapter explores the creation and evaluation of neural circuit policies (NCPs) for navigation tasks, showcasing their compactness and efficiency. It emphasizes their ability to operate on small devices and the environmental benefits of optimizing machine learning models through pruning and compression techniques.
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