TinyML
Methods, Technologies and Applications. TinyML brings machine learning to compact, energy-efficient microcontrollers and embedded systems. This page features expert articles on Edge AI, embedded AI, neural networks, model optimisation, sensor analysis, low-power hardware and local data processing. The focus is on applications in IoT, industry, wearables, predictive maintenance, smart homes, robotics and intelligent sensor systems.
Articles on this topic
TinyML Explained: Machine Learning on Microcontrollers and Sensors
TinyML brings machine learning to small, energy-efficient devices. Instead of continuously sending sensor data to the cloud or a powerful server, data can be analyzed directly on microcontrollers, sensor platforms and compact embedded systems. This allows devices to detect patterns, classify events…
Embedded AI in Sensors: How Artificial Intelligence Operates Directly Inside Sensors
Sensors measure physical quantities such as temperature, pressure, motion, sound, light and force. Conventional sensing systems transmit these measurements to a controller, edge computer or cloud platform for further processing. Embedded AI changes this approach. Algorithms and machine-learning…
Edge AI Explained: Intelligence Directly at the Sensor and Device
Edge AI refers to the execution of artificial intelligence directly where data is generated: on machines, cameras, sensors, vehicles or other devices. Instead of transferring all data to a data centre or cloud platform first, it is processed locally. This approach is particularly relevant for…
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Sensor Fusion
How Multiple Sensors Create a Reliable Understanding. Sensor fusion combines data from multiple sensors to capture conditions, movements and environments more accurately and reliably. This page features expert articles on multisensor systems, data fusion, IMUs, cameras, radar, LiDAR, positioning sensors, AI-based sensor data processing and real-time analysis. The focus is on applications in robotics, autonomous systems, industry, automotive, medical technology, wearables and Edge AI.
Embedded AI
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