## 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](https://www.forbes.com/sites/janakirammsv/2020/11/03/how-tinyml-makes-artificial-intelligence-ubiquitous/?sh=4d252d077622)

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

[Benchmarking TinyML Systems: Challenges and Direction](https://arxiv.org/abs/2003.04821) with one of the authors, [Anton Lokhmotov](https://arxiv.org/search/cs?searchtype=author&query=Lokhmotov%2C+A)

- 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-september-8-2020-the-deep-learning-transformation-of-mobile-and-embedded-computing-by-nicholas-lane/359)

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://docs.google.com/presentation/d/1yV0rLchNUvlLeVdNCOUvStxCSBlwbzx6rvaiiOgnpYE/edit#slide=id.ga5350d46ec_0_0)

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](https://podcasts.apple.com/gb/podcast/software-engineering-daily/id1019576853?i=1000504950736)