tinyML Foundation

www.tinyml.org

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 of the cloud. 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. We see 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 To enable this vision, tinyML Foundation is: + Growing a diverse global community of hardware, software, and system scientists, engineers, designers, product management, and businesspeople. Engaging experts and newcomers alike in developing leading edge ultra-low power machine learning. + Promoting and stimulating open knowledge exchange between researchers and industry to accelerate the field ahead. + Inspiring the capabilities of ultra-low power machine learning and demonstrating the potential of machine intelligence and data analytics at the very edge of the physical and digital world. + Connecting technologies and innovations to enormous product and business opportunities creating value across the whole ecosystem and within industry verticals.

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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 of the cloud. 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. We see 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 To enable this vision, tinyML Foundation is: + Growing a diverse global community of hardware, software, and system scientists, engineers, designers, product management, and businesspeople. Engaging experts and newcomers alike in developing leading edge ultra-low power machine learning. + Promoting and stimulating open knowledge exchange between researchers and industry to accelerate the field ahead. + Inspiring the capabilities of ultra-low power machine learning and demonstrating the potential of machine intelligence and data analytics at the very edge of the physical and digital world. + Connecting technologies and innovations to enormous product and business opportunities creating value across the whole ecosystem and within industry verticals.

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State

California

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City (Headquarters)

Los Altos

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Founded

2013

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