SensiML's Open-Source AutoML Solution for Edge AI Now Available
SensiML , a subsidiary of QuickLogic (NASDAQ: QUIK), has launched Piccolo AI, the first open-source AutoML solution for IoT edge AI. This initiative aims to democratize access to edge AI technology, allowing developers and researchers to create intelligent sensor algorithms with ease. The project includes a comprehensive suite of resources, accessible at sensiml.org, and a dedicated community forum at forum.sensiml.org for collaboration. The core codebase is available on GitHub, enabling users to leverage cutting-edge technology and contribute to ongoing advancements. CEO Chris Rogers highlights that this launch is a significant milestone in making AI technology more accessible and fostering community-driven innovation.
- Launch of the first open-source AutoML solution for IoT edge AI.
- Comprehensive resources and community support available at sensiml.org and forum.sensiml.org.
- Access to the AutoML codebase on GitHub promotes continuous improvement and innovation.
- CEO Chris Rogers emphasizes the democratization of AI technology.
- Tailored for efficient performance and low power consumption in embedded systems.
- No direct financial impact or revenue figures mentioned.
- Potential risk of low adoption if the developer community does not actively engage.
Democratizes access to IoT edge AI technology and enables developers to contribute to ongoing advances for AI at the extreme edge
The initiative, which was announced earlier last month, is now live and includes a suite of resources to support the involvement of the broader developer community. The new open-source project website, available at sensiml.org, serves as the central hub for all project-related information, updates, and documentation. Additionally, SensiML has launched a dedicated community forum at forum.sensiml.org to facilitate discussions, collaborations, and knowledge sharing among developers.
The heart of the initiative, the GitHub repository at github.com/sensiml/piccolo, offers free access to the AutoML codebase. This repository empowers users to not only utilize cutting-edge technology for their own projects but also to contribute to the continuous improvement and innovation of the solution. By becoming active contributors, developers can play a vital role in advancing the capabilities of edge AI.
"We are thrilled to make our AutoML solution available as an open-source project," said Chris Rogers, CEO of SensiML. "This launch is a significant milestone in our mission to democratize access to AI technology and enable developers to create powerful, intelligent edge solutions with greater ease and efficiency. We believe that the collaborative power of the open-source community will drive rapid advancements in edge AI technology."
Key Features of the SensiML Open-Source AutoML Solution:
- Automated Machine Learning: Simplifies the creation of machine learning models for sensor data with minimal manual intervention.
- Edge Optimization: Tailored for the constraints of embedded systems, ensuring efficient performance and low power consumption.
- Comprehensive Documentation: Detailed guides, tutorials, and API references to help developers get started quickly and effectively.
- Community Support: Engage with fellow developers, share insights, and seek advice on the SensiML Forum.
- Active Contribution: Collaborate on the GitHub Repository to enhance and expand the AutoML solution.
To get started with the SensiML open-source AutoML solution, visit sensiml.org. For discussions and support, join the community forum at forum.sensiml.org. Access the code and contribute to the project on GitHub at github.com/sensiml/piccolo.
About SensiML
SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company's flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto-generation, and testing. The SensiML Toolkit supports a growing list of hardware including 8/16/32-bit MCUs from Microchip®, Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and heterogeneous core AI/ML optimized SoCs. For more information, visit https://sensiml.com.
SensiML and logo are trademarks of SensiML. All other trademarks are the property of their respective holders and should be treated as such.
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SOURCE SensiML Corporation
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