Stockholm, December 3, 2020 - Imagimob and tinyML Foundation are excited that tinyML Meetup Group in Sweden will start in January 2021. This group will promote ultra-low power machine learning at the edge, foster collaborations in this branch of AI technologies and products and help to accelerate ecosystem development.
Participating in tinyML events will enable companies including startups and academia to build a strong tinyML community in Sweden and reach out to the global tinyML community, currently consisting of more than 4,000 members. The local Sweden team leading these Meetups include Åke Wernelind, Head of Business Development in Imagimob, Johan Malm, PhD and machine learning expert in Imagimob, Magnus Melander, Evangelist and co-Founder at THINGS and Ali Balador, PhD, Assistant professor at Mälardalens Högskola and Senior Researcher at RISE Sweden.
“I am very pleased to see the growth of ultra-low power machine learning technology from leading companies in Sweden like Imagimob and others. Clearly, they share the same vision of the giant opportunities ahead. I have no doubts that we’ll see more exciting news from the local Swedish tinyML community activities and look forward to collaborating”, said Evgeni Gousev, Senior Director Qualcomm AI Research and tinyML Foundation, Board of Directors Chair.
“We are excited to work with the tinyML Foundation to support and grow the local tinyML community. We are committed to make tinyML Meetup Sweden a success as the activities will be beneficial to everyone”, says Anders Hardebring, CEO and co-founder at Imagimob.
tinyML Foundation is a non-profit professional organization focused on supporting and nurturing the fast-growing branch of ultra-low power machine learning technologies and approaches dealing with machine intelligence at the very edge. These integrated “tiny” machine learning applications require “full-stack” (hardware, system, software, and applications) solutions including machine learning architectures, techniques, tools, and approaches capable of performing on-device analytics.
A variety of sensing modalities (vision, audio, motion, environmental, human health monitoring, etc.) are used with extreme energy efficiency, typically in the single milliwatt (and below) power range, to enable machine intelligence right at the boundary of the physical and digital worlds.
tinyML Foundation sees a new world with trillions of distributed intelligent devices enabled by energy efficient machine learning technologies that sense, analyze, and autonomously act together to create a healthier and more sustainable environment for all.
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