MicroAI + Silicon Labs
Our partnership enables users to quickly build an AI-enabled MCU with MicroAI's AtomML and Silicon Lab's hardware. AtomML is a self-learning AI platform that ingests real-time data from sensors to detect operating anomalies and generate health scores for connected devices.
AtomML Features:
- No Historical Data Required
- Trains and Inferences Locally
- Model Continuously Adapts
Sample Use Case: Air Quality Condition Monitoring
- Identify Harmful Pollutants
- Enhance Safety Protocols
- Mitigate Hazards in your Environment
Start your 15-min evaluation now!
Your Evaluation Steps
xG24 Dev Kit
1
Download our user guide on this page
2
Implement AtomML SDK on your Silicon Labs hardware kit
3
Monitor your environment by detecting anomalies and generating health scores
Launch Your Edge-AI Initiatives
Have a specific use case in mind? Send us an email advisor@micro.ai
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