SensiML to open source Analytics Studio for TinyML code for IoT sensor apps

SensiML, a subsidiary of QuickLogic, is opening access to its Analytics Studio, an automated machine learning (AutoML) engine, as open-source software. Previously available as a managed cloud service, Analytics Studio supports a wide range of MCUs and AI-accelerated SoCs for building edge AI/ML applications. By going open source, SensiML aims to enhance its platform, including adding capabilities like GenAI model development and object recognition.

The move to open-source is intended to foster innovation in IoT edge devices, enabling applications like predictive maintenance and anomaly detection. The open-source initiative also seeks to fill a gap in the AI landscape, where existing frameworks like TensorFlow and PyTorch cater to experts but lack comprehensive end-to-end workflows for AutoML. SensiML’s tools are designed to streamline the development of TinyML applications, transforming sensor data into actionable insights at the edge.

The team is optimistic about the response from the open-source community. Developers will soon have access to a public GitHub repository, with the official launch expected later this year. SensiML invites interested developers to join the initiative and contribute to the future of edge AI.

For more information, visit their blog and stay tuned for updates at upcoming events like Sensors Converge.