How Are AI, ML, and Intent-Based Networking (IBN) Linked?
Introduction In the era of cloud, IoT, and automation, networks are becoming more complex and dynamic. Traditional methods of configuring
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Logical Design of AIoT (Artificial Intelligence of Things)
Introduction The Artificial Intelligence of Things (AIoT) is an advanced technological framework that integrates Artificial Intelligence (AI) and the Internet
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AIoT (Artificial Intelligence of Things)
Introduction The rapid advancement of technology has led to the integration of two powerful domains: Artificial Intelligence (AI) and the
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How to Build a TinyML Project
Introduction Tiny Machine Learning (TinyML) enables machine learning models to run on microcontrollers and edge devices with limited resources. This
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Codecraft: Graphical Programming Tool for Embedded Systems
Introduction In the realm of embedded systems and IoT development, programming efficiency and ease of use are critical factors. Codecraft
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PyTorch Mobile & ONNX Runtime: AI Models for Edge Devices
Introduction The demand for running AI models on edge devices, including mobile phones, IoT devices, and embedded systems, has led
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OpenVINO Toolkit: AI Inference for Edge and Cloud Deployments
Introduction As artificial intelligence (AI) and deep learning applications expand, optimizing inference for edge and cloud environments has become essential.
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Edge Impulse: Machine Learning for Embedded & Edge Devices
Introduction Machine learning (ML) is rapidly moving beyond traditional cloud-based applications and making its way to edge devices such as
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