Innovation

Unlocking Edge Intelligence: Deploying TinyML Models on Microcontrollers In the rapidly evolving landscape of embedded systems, TinyML—machine learning technology optimized for tiny devices—has emerged as a game changer. Deploying TinyML models

Quantized Neural Networks on Embedded Devices: Revolutionizing AI at the Edge Embedded systems are rapidly evolving from simple control units to intelligent agents capable of running complex AI models. Among the transformative innovations

Edge Inference for Object Detection: Revolutionizing Real-Time AI in Embedded Systems As the demand for instantaneous and efficient AI-powered services grows, edge inference for object detection is emerging as a transformative force within

Harnessing the Power of Speech Recognition on Microcontrollers: The Future of Edge AI Integrating speech recognition capabilities into microcontrollers marks a transformative step in the evolution of embedded systems. As AI-driven voice interfaces

Advancing Voice Interfaces: The Role of Keyword Spotting Models in Embedded Systems As embedded systems continue evolving at a rapid pace, their integration with AI-driven voice interfaces is reshaping human–machine interactions. At