We just released a new GenAI feature in Data Studio that rapidly creates hyper-realistic synthetic speech datasets from simple text input. In this blog we walk through the details of the feature and how to use it.
Integrating generative AI into SensiML’s open-source Piccolo AI toolkit is a significant opportunity ripe for prototyping, testing, and ongoing refinement. We discuss the prospects for generative AI and explore specific ideas for its use.
SensiML announces new open-source AutoML tool Piccolo AI, publishes GitHub repo for developer access.
Why SensiML is open-sourcing its core AutoML server software and how this benefits the TinyML ecosystem.
An example of a complete smart toy application built around on-device, ML-based gesture recognition using the M5StickC PLUS.
Watch the video of Chris Rogers’ conversation with Ross Sabolcik, VP/GM of Industrial and Commercial IoT products at Silicon Labs, about the benefits of AI at the edge, key use cases, and how Silicon Labs and SensiML are working together to advance IoT smart sensing with ML.
Winner of the Infineon Build AI for the IoT contest selected SensiML for delivering edge AI for their application.
We just announced that SensiML has teamed up with Infineon Technologies AG to deliver a complete AI/ML solution for the Infineon PSoC™ 6 family of microcontrollers (MCUs) and XENSIV™ sensors. This is great news for Infineon customers as they can now use SensiML’s tools to easily create intelligent IoT endpoints using the ultra-low power and
Opportunities to improve manufacturing processes by adding machine learning sensors at the IoT edge are rapidly emerging. Thanks to a combination of Powerful microcontrollers and multi-core SoCs like the EOS S3 on QuickLogic’s QuickAI HDK High-resolution, low-cost MEMS sensors and microphones Powerful AutoML-based AI tools like SensiML Analytics Toolkit it is possible to bring sophisticated
About six months ago we, the folks at QuickLogic, and the Avnet Hackster.io online community announced our Challenge Climate Change contest. The idea was to encourage creative smart technology projects that improve awareness, change behavior, or optimize processes to impact climate change for the better. Towards that end, we opened up the contest to developers
Today SensiML took a leadership position in AI/ML tools for the IoT edge by announcing our new Open Source Initiative. SensiML Open Source Embedded SDK (coming later this summer) – The full library of SensiML segmenters, transforms, features, and classifiers as implemented by the AutoML and Python-based SensiML Analytics Toolkit Notebook will become available in open source format.
Webinar tutorial series discussing a variety of topics related to embedded IoT development, TinyML and AI at the edge, sensor data processing, and the application of SensiML Analytics Toolkit.
