Tinyml

AI And ML are similar to siblings. In every field, these two technologies complement one another. When it comes to usefulness and innovation, AI and ML complement one another. Significant progress has been made in these domains over the past two years, and it is still being made today. The…

In this article, I am discussing Real time image classification using Edge impulse on Raspberry pi. First, Breifly discuss about TinyML, Raspberry Pi & Edge Impulse TinyML: It’s Combination of AI algorithm and Embedded devices

The Internet of Things (or IoT) has rapidly evolved over the past decade, connecting a growing number of devices and bringing about a new era of convenience and automation. However, the realization of the full potential of IoT has been limited by the limitations of traditional machine learning models, which…

Deploying your ML solution to a microcontroller as fast as possible with Edge-Impulse — One of the main things to consider while creating a Machine Learning (ML) based solution is the development speed. That is, you must be aware of how fast it takes to deliver a new model version. Ideally, once your data workflow is finished, it must be automated such that you…

ATTENTION: This article might trigger happy emotions by TF Lite Micro users. Be prepared, we warned you. Motivation — Deploying ML on Microcontrollers Have you ever tried to deploy a machine learning (ML) model on an embedded device? The performance improvement of microcontrollers over the past years makes running ML algorithms on microcontrollers a viable option…

Using TensorFlow Lite Micro — Co-authored by Nikolas Rieder and Rafael Tappe Maestro. Abstract You want to expand your field of expertise in artificial intelligence and want to explore a more energy efficient approach to machine learning (ML). This article will introduce you to ML on microcontrollers (MCUs), also known as tiny machine learning (TinyML). Get…

Embedded Learning Challenge Comes to Kigali, Rwanda — The Internet of things, IoT is transforming how we work, live and relate. Today we have devices at home such as mobile phones, TV, remote control that are either connected to each other or to the internet. …

Embedded Learning Challenge Comes to Kampala, Uganda — The world of technology is constantly evolving and the Internet of Things (IoT) is at the forefront of this change. One of the key technologies driving IoT is Tiny Machine Learning (Tiny ML), which allows machine learning algorithms to run on small, low-power devices, such as those used in IoT…