We’ve updated SensiML Analytics Toolkit with a variety of new features to make it easier than ever before for users to create and manage their AI/ML projects and visualize their datasets in insightful new ways.
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.
Part 4: Profiling the performance of the AI-accelerated EFR32MG24 model
Part 3: Generating a working smart door lock model for the SiLabs xG24 Dev Kit
Part 2: Collecting smart door lock raw acoustic sensor data and labeling it using SensiML Toolkit
Part 1: Using Silicon Labs xG24 Dev Kit and SensiML Analytics Toolkit, we’ll transform a connected door lock into an innovative enhanced security smart lock.
SensiML has collaborated with Silicon Labs to enable AutoML-based rapid development of optimized machine learning sensor models for Silicon Labs’ energy-friendly EFR32 and EFM32 microcontrollers (MCUs).
