LF AI & Data Foundation – the organization building an ecosystem to sustain open source innovation in artificial intelligence (AI) and data open source projects – is announcing two new Sandbox Projects; 1ChipML and BeyondML to their portfolio of projects.
Open sourced in April 2022 by Ericsson, 1ChipML aims to create an open source library for basic numerical crunching and machine learning that can run on the various families of microcontrollers developed by AVR and ARM. These devices, especially the ARM Cortex-M family, have recently shown relatively advanced computing capabilities, both in terms of clock speed and memory access. This allows these extremely low power demanding microcontrollers to perform mathematical and machine learning algorithms that were practically impossible in the past. As we gradually enter the era of the Internet of Things (IoT) and of Edge Computing, a library like this is highly desirable to enable practical applications in real life. In addition, a variety of future AI applications will be designed to use compute distributed in a network of hardware, and this library will serve as the low-level enabler for such distributed machine learning capabilities. The value of this project lies with providing unique AI capabilities for very specific hardware that is becoming part of the AI revolution currently in progress, which contributes to a number of LF AI & Data goals and projects.
BeyondML is a framework for developing sparse neural networks that can perform multiple tasks across multiple data domains. This framework provides value to the community by: simplifying development and deployment of advanced machine learning capabilities for use on low-end devices and in dynamic environments characteristic of the resource-constrained edge, reducing complexity and costs of deploying ML models or systems of models to cloud platforms, and reducing carbon footprint of deployed ML models.
Contributed by AI Squared in June 2022, BeyondML provides the community with an open way to train and utilize ML models which are economical (due to the lessened computational requirements compared to the state-of-the-art in deep neural networks) and simple to deploy (due to the ability of BeyondML to package multiple models/tasks within a single neural network), making ML more accessible for all members of the community.
LF AI & Data supports projects via a wide range of services, and the first step is joining as a hosted Project. Learn more about these projects on their GitHub repositories and join their respective Announce Mailing Lists and Technical-Discuss Mailing Lists, listed below.
A warm welcome to these new projects! We look forward to the projects’ continued growth and success as part of the LF AI & Data Foundation. To learn about how to host an open source project with us, visit the LF AI & Data website.
1ChipML Key Links
BeyondML Key Links
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