Bringing ML to the Tiny Edge
Integration with Wireless SoCs
Industry’s widest portfolio of wireless solutions combined with ML for Tiny Edge devices.
Deep Learning Neural Networks
Improvement in learning speed and accuracy over classical ML algorithms.
Rich Set of Development Tools
ML tools and solutions for explorers to experts for faster application development.
AI/ML Hardware Accelerator
Provides up to 8x faster ML inferencing at 1/6th energy, reduces BOM footprint and design complexity.
Why ML for Microcontrollers
Hardware
Software
Getting Started With ML Software
Silicon Labs offers ML development tools for any level of experience, and we’ve curated our resources based on level of expertise:
Edge Impulse for ML Explorers
Edge Impulse is ushering in the future of embedded ML by empowering developers to create and optimize solutions with real-world data. Silicon Labs is making the process of building, deploying, and scaling embedded ML applications easier and faster than ever, unlocking massive value across every industry, with millions of developers making billions of devices smarter.
SensiML for ML Explorers
SensiML offers AutoML embedded code generation software for implementing AI at the IoT edge. The SensiML Analytics Toolkit supports rapid data collection, ML classification, and optimized firmware code generation, and built-in automation reduces development time and cost by generating optimized edge AI sensor algorithms in a fraction of the time.
TensorFlow for ML Experts
For ML development experts, we offer native support of TensorFlow Lite for Microcontrollers natively for all Series 1 and Series 2 wireless SoCs, and offer two options to create models:
Software for ML Solutions
For developers with little or no ML experience, Silicon Labs has a partnership with Sensory for keyword and wake-word applications, and Micro.ai for anomaly detection.
Development Tools
Applications
Sensor signal processing is the use of low data rate sensors including accelerometers, gyroscopes, air quality sensors, temperature sensors, or pressure sensors. This makes it possible to extend machine life cycles, avoid down time, and reduce cost with preventive maintenance.
Audio pattern matching uses microphones to detect a very wide range of non-speech related sounds including squeaky bearings, breaking glass, or running water. These features make it possible to bolster in-home security with glass break detector, scream, and shot detection.
Voice commands are a specific sub-set of audio patterns that are the recognition of single words, which is also sometimes referred to as keyword spotting. Make a smart home a responsive home by turning lights on/off with AI/ML keyword detection.
Make smart devices seeing devices by wake-up upon object detection, presence detection, people counting, and more.
AI/ML Partners
Edge Impulse is the leading development platform for embedded machine learning, free for developers, and used by over 1,000 enterprises worldwide.
SensiML pioneered software tools simplifying the development of TinyML code for IoT sensor applications.
Sensory Inc. creates a safer and superior UX through vision and voice technologies widely deployed in consumer electronics applications.
MicroAI™ is an endpoint-based artificial intelligence and machine learning engine that lives directly on a device.