Ready to build smarter IoT apps?💻 Accelerate your IoT development with advanced in-sensor AI. ST AIoT Craft is an online tool to quickly design, test, and deploy ML algorithms on ST MEMS sensors for seamless sensor-to-cloud integration. Turn sensor events into real-time cloud insights and build custom IoT applications faster. Explore how with Andrea Driutti 👇🎞️ #STAIoTCraft #MEMSsensors #IoT
Intersting ...IoT is moving from connected devices to smart sensors. With AI at the edge, sensors can react instantly and send real-time insights to the cloud. #STMicroelectronics
Rosy gou
1w
This is a game-changer for IoT development! Accelerating ML deployment directly on MEMS sensors is exactly what the industry needs right now. Can't wait to see how ST AIoT Craft streamlines the sensor-to-cloud workflow. Thanks for sharing, Andrea!
jianxin liao
1w
Reliable supplier of electronic components.
Interesting to see ST AIoT Craft bringing ML deployment closer to the sensor node. In-sensor inference is a growing area where low-power, real-time decision making at the edge can dramatically reduce cloud dependency and latency. The MEMS + ML combination is particularly compelling for industrial predictive maintenance and environmental monitoring — two domains where sensor fusion and compact ML models make a big difference. Would be curious to hear more about supported model architectures and how the sensor-to-cloud integration pipeline handles data privacy constraints. #EdgeAI #MEMS