AI EXPO AFRICA WELCOMES TINYML FOUNDATION AS COMMUNITY PARTNER

Tiny machine learning (tinyML) is broadly defined as a fast growing field of machine learning technologies and applications including hardware (dedicated integrated circuits), 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.

Intelligent edge devices with rich sensors (e.g., billions of mobile phones and IoT devices) have been ubiquitous in our daily lives. Combining artificial intelligence (AI) and these edge devices, there are vast real-world applications such as smart home, smart retail, autonomous driving, and so on. However, the state-of-the-art deep learning AI systems typically require tremendous resources (e.g., large labeled dataset, many computational resources, many AI experts), both for training and inference. This hinders the application of these powerful deep learning AI systems on edge devices. The TinyML project aims to improve the efficiency of deep learning AI systems by requiring less computation, fewer engineers, and less data, to facilitate the giant market of edge AI and AIoT.

tinyML Foundation

The inaugural tinyML Summit in March 2019 showed very strong interest from the community with active participation of senior experts from 90 companies. It revealed that: (i) tiny machine learning 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 low power applications in the vision and audio space. There is growing momentum demonstrated by technical progress and ecosystem development.

About tinyML for Good

Technological advancements are transforming the way we live, work, and connect with the world around us. Tiny machine learning and artificial intelligence are enabling on-device sensor data analytics at extremely low power and with privacy built in by design, already showing great potential to make positive contributions to the United Nations Sustainable Development Goals, particularly in low-resource settings.

tinyML at AI Expo Africa 2022

Peter Ing is the Co-Organizer & Lead for TinyML South Africa and ambassador at Edge Impulse will be speaking at AI Expo Africa 2022 about the tinyML movement. He will be hosting a tinyML Foundation booth in the expo hall showcasing the work by the tinyML Foundation. So drop by and get involved in this exciting field of engineering and applications.

Learn more:

The tinyML community continues to grow through the multiple high quality events – in-person and online – throughout the year including tinyML Summit, tinyML EMEA, tinyML Asia, tinyML Talks, and tinyML Meetups.

Read more here:

https:// www.tinyml.org/about/