LinkedIn icon

tinyML Summit 2020

Enabling ultra-low Power Machine Learning at the Edge

February 12-13, 2020

San Jose, California

About the tinyMLTM Summit

Following the success of the inaugural tinyML Summit 2019, the tinyML committee invites low power machine learning experts from the industry, academia, start-ups and government labs from all over the Globe to join the tinyML Summit 2020 to share the “latest & greatest” in the field and to collectively drive the whole ecosystem forward.

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.

tinyML Summit 2020 will continue the tradition of high quality invited talks, poster and demo presentations, open and stimulating discussions, and significant networking opportunities. It will cover the whole stack of technologies (Systems-Hardware-Algorithms-Software-Applications) at the deep technical levels, a unique feature of the tinyML Summits. While the majority of the participants and speakers will come from industry, leading edge academic research will be represented as well as an important ingredient of the evolving tiny machine learning ecosystem. In 2020, special attention will be given to recent progress on algorithm development and tiny machine learning use-cases and applications. The program will be organized in four technical sessions: Hardware, Systems, Algorithms & Software, and Applications. There will be approximately twenty invited presentations selected by the Technical Program Committee and dedicated poster sessions and demos by tiny machine learning companies and sponsors. Overview and hands-on tutorials on hardware and software developments will be available the day before the main technical program starts. Registration will open in October 2019.



General Chairs:

Technical Program Committee:


Initial Speakers

(others to be announced):

2020 tinyML Summit Sponsors


tinyML Executive and Founders

Gold Sponsors

Silver Sponsors

Poster Abstract Guidelines

Abstract should be on one page in a Word document and approximately 300 words total (minus the poster title) and should clearly address the items below.

Deadline to submit abstracts is November 1, 2019.

Please include:

  • Poster title
  • Your name, job title, organization

The abstract should clearly state:

  • Problem to be solved,
  • Technical approach and its novelty
  • Results
  • Significance for the tinyML community,
  • Abstract should reflect and highlight TinyML aspects of the work


  • Algorithms
  • Applications
  • Hardware
  • Software
  • Systems
  • A combination of above

Your contact information:

  • Name
  • Job Title
  • Organization
  • Address
  • Phone
  • Email

Please send to

We will provide you with a template and will print it for you.

Note: a poster presentation requires a paid registration ($475). Printing of the poster is included; we will provide you with a template if the abstract is accepted.

Contact Bette Cooper at the email above or call 650-714-1570 with questions


Due to high demand, event sponsors will have priority for demo tables to highlight their products and technology. A waiting list will be available for any remaining tables for those companies wishing to do a demo but are unable to become sponsors.



3655 N 1st St, San Jose, CA 95134


AI at the Very, Very Edge (EE Times)

When the TinyML group recently convened its inaugural meeting, members had to tackle a number of fundamental questions, starting with: What is TinyML? TinyML is a community of engineers focused on how best to implement machine learning (ML) in ultra-low power systems. The first of their monthly meetings was dedicated to defining the issue.

read full article

TinyML Sees Big Hopes for Small AI (EE Times)

SUNNYVALE, Calif. – A group of nearly 200 engineers and researchers gathered here to discuss forming a community to cultivate deep learning in ultra-low power systems, a field they call TinyML. In presentations and dialogs, they openly struggled to get a handle on a still immature branch of tech’s fastest-moving area in hopes of enabling a new class of systems.

read full article


We have created a Bay Area tinyML group called tinyML - Enabling ultra-low Power ML at the Edge – please join!

The meetups are designed to be an informal gathering of people interested in various aspects of tinyML technologies and a great opportunity of networking and also a good way to grow the tinyML Community.

September 26 Meetups

There were two Meetups on September 26, one in the Bay Area, the other in Austin, TX. Links to the slides, and a video link for the Bay Area meeting.

Bay Area


July 25 Meetup

Held at Qualcomm in Santa Clara and attended by over 100 people, we had two speakers – click on title for slides:

June 27 Meetup

Our first meetup was held on June 27 at Qualcomm and was a great success. Over 130 people were in attendance. Below are the presentations and a video file:

Visit our event page for photos of the event.

tinyML meetups will be held on the last Thursday of each month. Visit our Meet up page for updates.

Meetup Committee

Contact Us

Bette Cooper
tinyML Summit Organizer