TinyML (Tiny Machine Learning) is a rapidly growing field that involves running machine learning models on low-power microcontrollers. These microcontrollers are designed to perform AI tasks at the edge while consuming minimal power, making them ideal for a wide range of applications, from smart home devices to wearables and industrial IoT. In this post, we’ll […]
Top Boards for Machine Learning on Small Devices Read More »
TinyML boards are small, low-power microcontrollers that are designed to run machine learning models at the edge. These boards are a great way to bring machine learning capabilities to your projects, and they are becoming increasingly popular as more and more people discover their potential. Introduction In this post, we’ll take a look at some
Best TinyML Boards for Small Device AI (2022) Read More »
Tiny Machine Learning (TinyML) is a giant opportunity in the fast growing field of machine learning. It enables resource-constrained devices to perform on-device inferences at the edge of the network. These devices require the use of specialized software such as TensorFlow Lite, an open-source deep learning framework, to run optimized deep learning algorithms. The main
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I gathered a list of courses related to Edge Ai that were available at the time, some of which i am already attending. Some of the courses are free, others are paid, and the levels go from beginner to advanced. Personally, I lean toward the TinyMl ones because that is something I want to focus on
10 Courses To learn Edge Ai and TinyML In 2022 Read More »
Edge AI is a way to process and analyse the environment that evolves the computation of deep learning algorithms at the edge of the network. This is made possible with the use of cheap devices that are specifically built for the job at hand. From my research, I managed to deepen my knowledge and find valuable
What is Edge Ai And What Are We Talking About? Read More »
