TinyML Solution for New Data Driven World

Recent progress in computing hardware, machine learning algorithms and networks, and availability of large datasets for model training have created a strong momentum in the development and wide deployment of game-changing AI applications. Dedicated hardware becomes tiny and very energy efficient (with mW or less power consumption), algorithms and models - smaller (down to 10s of kB of memory requirements), software – lighter down to deployment on deeply embedded platforms. This enormous technology innovative wave and fast-growing ecosystem create a strong momentum towards new applications and business opportunities. As we are in the midst of the digital transformation revolution, tinyML offers the ultimate benefits of extreme energy savings of performing on-device machine intelligence and data analytics at low cost, combined with inherent privacy features.

Within the decade, we are going to witness a major impact that tinyML phenomenon is going to create in society at different levels. At the commercial level, there will be an explosive growth of tinyML applications in all verticals around us: smart city, smart home, smart manufacturing, smart agriculture, etc.. By giving this tiny artificial technology back to people, there will be many applications of tinyML for Good, such as in the sustainability, STEM and healthcare areas. And, tinyML opens up a path to democratize AI via enabling data ownership by those who produce these data streams and make them actionable, locally, at the very edge. As a result, we see a new world with trillions of intelligent devices enabled by tinyML technologies that sense, analyze, and autonomously act together to create a healthier and more sustainable environment for all.