TinyML
is a relatively new paradigm, it is already producing surprising results for interfacing with relatively modest microcontrollers and training with minimal accuracy loss. Sure! Here's a shortened and accessible introduction to TinyML for all audiences:
TinyML: A New Era in Edge AI
TinyML is a fast-growing, game-changing technology that brings the power of artificial intelligence (AI) to small, low-power devices like sensors, wearables, and microcontrollers. Unlike traditional programming or cloud-based AI, TinyML runs directly on the device—at the edge—without needing an internet connection. This means faster responses, lower energy use, improved privacy, and real-time insights.
This breakthrough merges fields like embedded systems, machine learning, and edge computing, making it a true multidisciplinary revolution. It opens the door to smart, responsive systems in industries like healthcare, agriculture, manufacturing, and consumer electronics—think real-time crop monitoring, predictive maintenance, or gesture-controlled devices.
Tools like Edge Impulse make TinyML accessible to everyone, from beginners to experts. With no prior coding or AI experience required, anyone can build and deploy intelligent models on small devices—making innovation truly open to all.
https://www.youtube.com/watch?v=K5wPVywHLZY