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  • Benchmarking of hardware-software
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tinyML as edge ecosystem

Created about 5 years ago, updated 28 days ago

tinyML as commercial opportunities

Emerging AutoML and TinyML platforms such as Always AI, Cartesiam, EdgeImpulse, OctoML and Qeexo are building tools and development environments to simplify the process of training and optimizing models for microcontrollers

Benchmarking - tinyML is a part of https://mlcommons.org/en/

Benchmarking TinyML Systems: Challenges and Direction with one of the authors, Anton Lokhmotov

  • tinyMLPerf Deep Learning Benchmarks for Embedded Devices - https://github.com/mlcommons/tiny

https://scholar.harvard.edu/vijay-janapa-reddi/tinymlperf-benchmarking-ultra-low-power-machine-learning-systems
results in june 2021???

  • tinyML Talks on September 8, 2020 “The Deep (Learning) Transformation of Mobile and Embedded Computing” by Nicholas Lane

https://forums.tinyml.org/t/tinyml-talks-on-january-19-2021-running-binarized-neural-networks-on-microcontrollers-by-lukas-geiger/485

Pete Warden

https://petewarden.com/2017/11/13/deep-learning-is-eating-software/

2020 - What Does TinyML Need from Hardware?

https://petewarden.com/2020/11/14/why-do-i-think-there-will-be-hundreds-of-billions-of-tinyml-devices-within-a-few-years/

podcast TensorFlow Lite with Pete Warden - Software Engineering Daily

Parents

  • Benchmarking of hardware-software
  • ARM
  • Deep Learning Hardware
  • Embedded Edge

Children

  • Binary NNetworks
  • Hardware & Software - hands-on
  • tinyML - commercial companies
  • tinyML Perf

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