uTensor: AI on Microcontroller

Data Science Playground

IB202

08/12 14:30 - 15:20

漢語 / Mandarin Chinese

Skilled / 中階

Data Scientists, ML Engineers, Embedded Engineers

uTensor is a framework that enables developers to deploy machine learning models on Microcontrollers (MCUs). AI inference today are typically done on high-performance computing units, such as, GPUs and TPUs. MCUs are low-energy and low-cost units. Deploying machine learning models on MCUs is a challenge because of their limited RAM size, flash capacity and clock-speed. uTensor addresses this by converting models directly into importable C++ source code, supporting quantization operators and using resource management schemes. In this talk, we will introduce Tensor, its run-time, code-generator and future work.


Collaborative notes on HackMD

Neil Tan

Neil Tan is an ARM developer evangelist with a keen interest on IoT and machine learning. He is a speaker at FOSDEM, O’Reilly AI conference and a core-developer of uTensor. He works closely at open source developer communities in Asia and has taken parts as design-contest judge and event guest speaker.

Kazami Hsieh

DBoy Liao

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