tinyML Summit 2023 Call for Presentations and Posters
Submit your abstract here
The tinyML Summit 2023 will be the premier gathering of key tinyML members from all aspects of the ecosystem. This year, end-users, innovators, and business leaders will be invited to encompass the expanding breadth of industries impacted by the maturing tinyML technology and application space. The tinyML Summit 2023 will provide a unique environment to have focused, high-impact presentations and conversations from both suppliers and users to advance the accessibility and adoption of tinyML solutions. No matter where you are in the Edge Computing AI/ML supply chain, this is the must-attend event for 2023.
The tinyML Summit 2023 Program Committee invites contributions from experts in the industry, academia, start-ups, and government labs. This will be an IN-PERSON event (no streaming or pre-recorded presentations). Specifically, we call for abstracts for Posters and Presentations in the following areas:
- tinyML Applications
- Products and applications of tinyML in a broad range of domains, such as Industrial IOT, Smart Manufacturing, Smart Cities, Smart Buildings, Smart Home, Smart Transportation, Smart Wearables, Consumer Electronics, Medical and Lifestyle Systems, and more.
- tinyML Development Tools
- Solutions for training, optimizing, deploying, and updating tinyML for a range of applications and hardware targets. This includes AutoML platforms, compiler, and runtime engines, optimization platforms, and similar developer-oriented tools that simplify and expedite ML development.
- tinyML Software
- Systems and SW-based components that enable or improve critical ML capabilities for tinyML hardware. This includes vision and audio algorithms, predictive solutions for time series or continuous data, on-device learning and other algorithms targeting ultra-low power devices. (Unlike development tools, tinyML software is meant to live “on-device” and not on a development PC).
- Silicon for tinyML
- Dedicated hardware and chipsets for vision, audio, DSPs, NPUs, and SoCs/systems enabling or improving ML on tiny devices. This includes analog, neuromorphic, spiking, ASIC, and other hardware technologies for tinyML applications.
- Sensors for tinyML
- Sensors that extract, detect, and monitor pertinent information from the environment to feed necessary inputs for tinyML products and applications. This includes advancements on typical CMOS for vision and MEMS for audio, as well as novel biosensors, inertial, and integrated embedded ML+sensor technologies.
Submission Instructions & Review
Please use this form to submit your abstract. The Program Committee will review contributions between December 22 and January 15.
- The author should clearly state:
- Problem statement (specific problem that their work focuses on)
- Relevance to tinyML (as described in Introduction above)
- Technical approach and its novelty
- Results and their significance to the tinyML community
- Call to Action for the tinyML Community
The tinyML Summit 2023 will feature a mixture of high technical quality, invited presentations and a selection of presentations from this call. The abstract should be no longer to a one-page Word and PDF document including the title, authors, affiliations, e-mail address of the contact author, as well as a one or two-paragraph summary of the content and significance of the presentation. The abstract will be sent back for revision if not all elements are included.
Submission of abstracts December 22, 2022
Notification of acceptance January 15, 2023
Date of Symposium March 27-29, 2023
Technical Program Committee
Davis Sawyer, Co-founder & Chief Product Officer, Deeplite
Elias Fallon, Vice President for Machine Learning, Qeexo
Adam Fuks, Fellow, MCU/MPU Architecture, NXP
Evgeni Gousev, Senior Director, Qualcomm Research USA
Anders Hardebring, CEO and Co-founder, imagimob
Hajar Mousannif, Cadi Ayyad University, Morocco
Mallik P. Moturi, VP Product and Business Development, Syntiant
Gular Dwarakanath Nagendra, System Architect, Texas Instruments
Chris Rowen, VP of AI Engineering, Cisco
Steve Whalley, CEO, Strategic World Ventures
Wei Xiao, Director of Developer Relations, Cross Geos, Nvidia