tinyML Auto ML Forum

Educating end users on what you can do with tinyAutoML

June 15, 2022

About

Tiny machine learning is broadly defined as a fast-growing field of machine learning technologies and applications including hardware and software capable of performing on-device sensor data analytics at extremely low power. The tinyML Foundation is powering the explosive growth of this ecosystem.

tinyAutoML is the process of automating tiny machine learning applications. Automation in this process allows non-experts to access the capabilities of ultra-low-power at the edge applications as well as increasing the productivity of experts.

The first tinyML Auto ML Forum will allow you to hear from experts in the industry and open-source community offering tools that automate the generation of tiny machine learning applications. tinyAutoML will be necessary for productive deployment of intelligent internet of things and ongoing training of machine learning models on edge devices. Kicked off with an exciting keynote from a leading analyst on the state of the tinyAutoML market, you will hear from a dozen companies in a unique roundtable format to explore all of the approaches to tinyAutoML across use cases from image recognitions/segmentation to human activity recognition to predictive maintenance.

The outcome of this event is the first of its kind “State of the tinyAutoML Market” document.

Venue

Virtual

Contact us

Rosina Haberl

News

June 14, 2022

Auto ML Deep Dive Tutorials

As promised at our Auto ML Forum here the registration list for the deep-dive tutorials

Schedule

Pacific

8:00 am to 11:00 am

Program Preview

State of the tinyAutoML Market 2022

8:00 – 8:05 Introduction

8:05 – 8:25 Analyst Keynote

8:30am – 9:15am 3-minute Demos (all AutoML companies/teams)

9:15am – 9:50am Type of Use-Cases and Data

9:50am – 10:20am Parts of the tinyML process

10:20am – 10:55am Impact of Productivity of tiny Auto ML on the User

10:55am – 11am Conclusion

Schedule subject to change without notice.

Committee

Elias FALLON

Chair

Qeexo Co.

Danilo PAU

STMicroelectronics

Davis SAWYER

Deeplite

Ira FELDMAN

tinyML Foundation

Evgeni GOUSEV

Qualcomm Research, USA

Sam Al-ATTIYAH

imagimob

Martin CROOME

GreenWaves

Kate VASILENKO

Neuton

Tomas Uppgard

Stream Analyze

Speakers

Kjell CARLSSON

Domino Data Lab

Woneui Eric HONG

Nota AI

Jan JONGBOOM

Edge Impulse

Daniele MORO

Google

Magnus GEDDA

Stream Analyze

Leslie SCHRADIN

Qeexo, Co.

Di WU

OmniML

Blair NEWMAN

Neuton

Chirag PATEL

Qualcomm Technologies, Inc. (QTI)

Christopher B. ROGERS

SensiML Corp

Sponsors

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