Research Symposium 2022

The tinyML research symposium serves as a flagship venue for related research at the intersection of machine learning applications, algorithms, software, and hardware in deeply embedded machine learning systems.

March 28, 2022

About

Tiny machine learning (tinyML) is a fast-growing field of machine learning technologies enabling on-device sensor data analytics at extremely low power, typically in the milliwatt range and below. The tinyML ecosystem is fueled by (i) emerging commercial applications and new systems concepts on the horizon; (ii) significant progress on algorithms, networks, and models down to 100 kB and below; and (iii) current low-power applications in vision and audio that are already becoming mainstream and commercially available. There is growing momentum demonstrated by technical progress and ecosystem development in all of these areas. The tinyML research symposium serves as a flagship venue for related research at the intersection of machine learning applications, algorithms, software, and hardware in deeply embedded machine learning systems.

The Symposium Call for Papers is now open.  The Call contains important dates, paper templates and a submission link.

The tinyML Research Symposium is held in conjunction with the tinyML Summit, the premier annual gathering of senior level technical experts and decision makers representing fast growing global tinyML community.

Venue

Hyatt Regency San Francisco Airport

1333 Bayshore Highway, Burlingame, CA 94010

Contact us

Bette COOPER

Committee

Marian VERHELST

General Co-Chair

KU Leuven

Vijay JANAPA REDDI

General Co-Chair

Harvard University

Tinoosh MOHSENIN

Program Co-Chair

University of Maryland Baltimore County

Boris MURMANN

Program Co-Chair

Stanford University

Zain ASGAR

Publications Chair

Stanford University

Theocharis THEOCHARIDES

Publicity Chair

University of Cyprus

Sponsors

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