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As a machine learning technique, TinyML combines reduced and optimized machine learning applications that require hardware, system, and software components. These operate at the edge of the cloud in real time while converting data with minimal energy and cost.
Microcontrollers (MCUs) today can run deep learning computer vision algorithms at the edge—something that felt far out of reach just a few years ago. In this article, I discuss how to get started with your own artificial intelligence (AI) app prototype, using Seeed Studio's SenseCAP K1100 Kit.
Embedded platforms have become an integral part of our daily lives, revolutionizing our technological interaction. These platforms, equipped with deep learning algorithms, have opened a world of possibilities, enabling smart devices, autonomous systems, and intelligent applications.
The new Google TensorFlow Lite will soon make Android systems smarter. Users can now expect AI-enhanced features.
Munich, 24 February 2022 – Codasip, the leader in processor design automation, today announced the L31 and L11, the latest in its range of low power embedded RISC-V processor cores optimized for customization...