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tinyML for Good Call for Abstracts
tinyML Vision Challenge – Winners
tinyML Vision Challenge Webinar
tinyAI Initiatives

New for tinyML Summit 2021!
Energy efficient embedded machine learning (tiny machine learning) is a fast-growing field of AI technologies and applications including algorithms, hardware, and software capable of performing on-device sensor analytics (vision, audio, IMU, biomedical, etc.). tinyML Summit is an annual conference, drawing attendance from global experts in the field from all the leading and upcoming industry/academia.
The tinyML Summit 2021 offers unrivaled visibility in the tinyML community, it not only represents the industry leading companies, but also represents a vibrant ecosystem of users / designers / researchers of ML. The aim of our community is to facilitate the exchange of ideas, to learn from each other and to help realize and accelerate significant opportunities of tiny machine learning / tiny artificial intelligence.
This year’s tinyML Summit, to be held on March 22-26, 2021, will include an interactive online LIVE experience. In addition to the content above, we are planning an exciting new session, titled “Breaking News On Disruptive Products and Tools”. This session allows a small number of time slots (timing TBD) to companies / experts / academia to share the very latest substantial and disruptive developments and upcoming products of significance in the field of tiny machine learning. This can be related to tools, hardware intellectual property, algorithms, products, applications, etc.
In addition to providing a platform for presenters to share their disruptive product/algorithm etc. with the audience. We would like to encourage the sharing of demo’s and open source to truly engage the tinyML Community.
Given the fast dynamics of this field, the goal here it to select truly the “latest and greatest” developments in tiny machine learning (preferably since November 2020) and offer companies and the academia an opportunity to present these “freshly baked” disruptive products and results to the global tinyML Community. Targeting this goal, only a very limited number of best “disruptive” news items will be accepted. To be considered for inclusion please fill out the form linked below.
Deadline to submit: February 28, 2021

New for 2021, tinyML Summit is developing a series of breakout sessions. Breakouts are focused on bringing focused topics directly to the audience that needs them. They will be practical and interactive discussions to foster better understanding of design and application issues, best practices, tools, and funding opportunities to accelerate the deployment of ultra-low power machine learning solutions. The audience will have the chance to hear from industry leaders in their specific fields and ask questions of them.
Sessions will include:
tinyML Applications
This session will focus on the many diverse market segments where ultra-low power machine learning designs are being deployed such as smart devices to wildlife monitoring. Real world cases will be described where machine learning meets the rugged demands of ultra-low power, performance and code efficiency. Industry leaders and innovators will describe how ultra-low power machine learning solved specific problems and review techniques you could use in your designs today.
tinyML Tools
This session will describe a selection of tools available to get you started in hardware and software development utilizing ultra-low power machine learning. Industry leaders will discuss technology trends, best design practices and what tools are more suited to specific tasks.
tinyML Grants
The explosion of ultra-low power machine learning at the edge designs across multiple worldwide applications has opened up opportunities for academia and commercial organizations to seek grant opportunities in many fields. In this session we will hear from a leading US Government agency on what grant opportunity trends they see in the coming months and years and how to apply. We will also hear from a grant recipient on how they navigated the grant application process and some of the do’s and don’ts in taking advantage of grants for your ultra-low power machine learning research and projects.
tinyML Summit Partner Sessions
The Partner Sessions will be an opportunity to hear from commercial companies in the tiny machine learning ecosystem on market and technology trends they are addressing to enable the exponential growth of tiny machine learning solutions. These will not be detailed company product or marketing talks but more interesting discussions on what these companies see happening given their particular vantage points. Expect to hear how problems and gaps are being solved and what still needs to be done and why.
tinyML Awards 2021
The tinyML Summit organizers are pleased to announce the creation of three awards to recognize the achievements of the industry and academia toward fulfilling the vision of ultra-low power machine learning devices at the very edge of the cloud. The awards are:
Best Product of the Year: to be given to the commercial hardware, software, or system product that brought the most significant technological advances to the ultra-low power machine learning marketplace. Best Product of the Year nomination form
Best Innovation of the Year: to be given to the most innovative concept in either advancing the capability of ultra-low power machine learning devices or leveraging the approach of ultra-low power machine learning to create positive societal impact. This award can be given to a product, an invention, or a research result that may lead to potential breakthroughs. Best Innovation of the Year nomination form
Deadline to submit: February 28, 2021
The Best Product of the Year and the Best Innovation of the Year awards are open for nominations between January 15 and February 28, with the winners announced at the tinyML Summit 2021.
Best Paper: to be given to the most outstanding research paper at the tinyML Research Symposium.
No nomination is necessary for best paper as all tinyML Research Symposium papers are automatically considered for the Best Paper award. The innovation described in a tinyML Research Symposium paper (or a previously published paper) can be nominated for the Best Innovation of the Year award.