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Efficient Deep Learning Hardware for Robotics and Autonomous Systems

Lead Participant: MYRTLE SOFTWARE LIMITED

Abstract

There is a wide consensus that deep learning algorithms are key to the future of smart autonomous machines and robots. This project aims to automate the production of low power, lightweight hardware implementing these algorithms so that RAS applications become a reality.

Lead Participant

Project Cost

Grant Offer
MYRTLE SOFTWARE LIMITED £98,799 £ 69,159

Publications

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