SensiML Launches Open Source Initiative for Smart IoT Applications

AI-tool-developer SensiML announced the launch of an Open Source Initiative to accelerate the adoption of TinyML smart IoT applications. The initiative builds upon SensiML’s existing efforts to design flexibility, transparency, and efficiency into its product suite. They want to give developers control and insight over vital aspects of their ML workflow, tools, data, and resulting models. SensiML’s Open Source Initiative is another step in the company’s ongoing commitment to provide its embedded developers and partners with the confidence to build AI code into supportable, commercial IoT products.
To be able to truly support their products, developers integrating AI into any commercial product need explainable and adaptable AI code. SensiML now offers them flexibility and assurance by publishing file formats, interface protocols, reference data handling applications, embedded code functions, and reference datasets in open source. This provides the insight needed to enable developers to maintain control of their data and firmware functionality while still leveraging all the power and benefits of the proprietary AutoML search engine technology.
The new Open Source Initiative introduces four specific components for building AI at the IoT edge:

• SensiML Open Gateway– an open source, user-extensible, multi-protocol application for connecting embedded IoT sensor devices to SensiML’s data collection tools for train and test data.
• SensiML Open Data Interfaces –supporting simple streaming binary output and full IoT device command/control.
• SensiML Open Mobile TestApp – an Android variant of the device testing tool is offered as open source software.
• SensiML Open Source Embedded SDK (coming later this summer) – announced for later this summer, the full library of SensiML segmenters, transforms, features, and classifiers will become available in open source format.

Our industry-leading TinyML development software for creating smart IoT sensing applications and devices uses AutoML technology to allow developers to leverage ML with or without data science expertise,

said Chris Rogers, CEO of SensiML.

With the introduction of SensiML’s Open Source Initiative, we are making it easier than ever for developers to adopt AI at the IoT edge by removing two key barriers of unexplainable code behavior and unmodifiable AutoML firmware output from such tools.

The SensiML Open Gateway, Open Data Interfaces, and Open Mobile TestApp tools are all available immediately. More information at the project website sensiml.com/blog/open-source-initiative.

Author: Rainer Claaßen
Image Credit: SensiML