About tinyML Foundation

Who we are & what we do

We are tinyML

Tiny machine learning is broadly defined as a fast growing field of machine learning technologies and applications including hardware (dedicated integrated circuits), algorithms and software capable of performing on-device sensor (vision, audio, IMU, biomedical, etc.) data analytics at extremely low power, typically in the mW range and below, and hence enabling a variety of always-on use-cases and targeting battery operated devices.

The inaugural tinyML Summit in March 2019 showed very strong interest from the community with active participation of senior experts from 90 companies. It revealed that: (i) tiny machine learning capable hardware is becoming “good enough” for many commercial applications and new architectures (e.g. in-memory compute) are on the horizon; (ii) significant progress on algorithms, networks and models down to 100kB and below; and (iii) initial low power applications in the vision and audio space. There is growing momentum demonstrated by technical progress and ecosystem development.

The tinyML community continues to grow through the multiple high quality events – in-person and online – throughout the year including tinyML Summit, tinyML EMEA, tinyML Asia, tinyML Talks, and tinyML Meetups.

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The People

Ira FELDMAN

Managing Director

tinyML Foundation

Evgeni GOUSEV

Chair Board of Directors

Qualcomm Research, USA

Zach SHELBY

Director

Edge Impulse

Marian VERHELST

Director

KU Leuven

Steve WHALLEY

Director

Strategic World Ventures