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.
Auto ML Deep Dive Tutorials
As promised at our Auto ML Forum here the registration list for the deep-dive tutorials
8:00 am to 11:00 am
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.
Qualcomm Research, USA
Domino Data Lab
Woneui Eric HONG
Qualcomm Technologies, Inc. (QTI)
Christopher B. ROGERS