no code implementations • 15 Sep 2021 • Shaoshan Liu, Yuhao Zhu, Bo Yu, Jean-Luc Gaudiot, Guang R. Gao
Commercial autonomous machines is a thriving sector, one that is likely the next ubiquitous computing platform, after Personal Computers (PC), cloud computing, and mobile computing.
no code implementations • 26 Jun 2021 • Shaoshan Liu, Jean-Luc Gaudiot
After decades of uninterrupted progress and growth, information technology has so evolved that it can be said we are entering the age of autonomous machines, but there exist many roadblocks in the way of making this a reality.
no code implementations • 16 Feb 2021 • Shaoshan Liu, Jean-Luc Gaudiot, Hironori Kasahara
In the past few years, we have observed a huge supply-demand gap for autonomous driving engineers.
no code implementations • 22 Feb 2018 • Jie Tang, Shaoshan Liu, Songwen Pei, Stephane Zuckerman, Chen Liu, Weisong Shi, Jean-Luc Gaudiot
Then, once the students have understood these modules, the experimental platforms for integration we have developed allow the students to fully understand how the modules interact with each other.
no code implementations • 16 Apr 2017 • Shaoshan Liu, Bolin Ding, Jie Tang, Dawei Sun, Zhe Zhang, Grace Tsai, Jean-Luc Gaudiot
The rise of robotic applications has led to the generation of a huge volume of unstructured data, whereas the current cloud infrastructure was designed to process limited amounts of structured data.
no code implementations • 12 Apr 2017 • Dawei Sun, Shaoshan Liu, Jean-Luc Gaudiot
Our conclusion is that, on embedded devices, we most likely will use very simple deep learning models for inference, and with well-developed building blocks such as ACL, it may be better in both performance and development time to build the engine from scratch.