tinyML Summit 2020
Enabling ultra-low Power Machine Learning at the Edge
February 12-13, 2020
San Jose, California
Following the success of the inaugural Summit 2019, 2020 Summit invites tinyML experts from the industry, academia, start-ups and government labs from all over the Globe to join this prime event to share the “latest & greatest” in the field and to collectively drive the whole ecosystem forward.
tinyML is broadly defined as a fast growing field of machine learning technologies and applications including Hardware (dedicated IC), 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 Summit in March 2019 showed very strong interest from the Community with active participation of senior experts from 90 companies. It revealed that: (i) tinyML 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 tinyML applications in the vision and audio space. There is a growing momentum on both technical progress and ecosystem growth fronts.
tinyML Summit-2020 will continue the tradition of high quality invited talks, poster and demo presentations, open and stimulating discussions and will have 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 the Industry, leading edge academic research will be represented as well as, an important ingredient of the evolving tinyML ecosystem. In 2020, special attention will be given to recent progress on algorithm development and tinyML use-cases and applications. The program will be organized in four technical sessions: Hardware, Systems, Algorithms & Software, and Applications. There will be approximately a total of 20 invited presentations selected by the Committee and dedicated poster sessions and demos by tinyML companies and sponsors. Overview and hands-on tutorials on Hardware and Software developments will be offered on the day before the main technical program starts. Registration will open in September 2019.
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