Monthly Archives: May 2023

How AI on Edge Is Changing the Infrastructure of Smart Cities?

AI on edge is revolutionizing the infrastructure of smart cities by bringing advanced intelligence and real-time analytics closer to the data source. With AI on edge, the processing and analysis of data occur directly on the edge devices, such as

Why is edge computing getting more popular with organizations of all sizes today?

Edge computing is experiencing a surge in popularity among organizations of all sizes due to several key reasons: Reduced Latency: Edge computing brings computational power closer to the data source, enabling faster processing and reduced latency. This is particularly important

Edge AI for Secure AI Applications

Edge AI plays a significant role in enabling secure AI applications by addressing privacy, security, and data protection concerns. Here’s how Edge AI contributes to the security of AI applications: Local Data Processing: With Edge AI, data processing and analysis

AI on Edge: Enabling Digital Transformation

Edge AI refers to the deployment of artificial intelligence (AI) algorithms and models directly on edge devices, such as smartphones, IoT devices, or edge servers, rather than relying solely on cloud-based AI processing. It brings the power of AI to

Three-Tier Architecture for Edge-AI-based Connected Healthcare Systems

The three-tier architecture for Edge-AI-based connected healthcare systems consists of the following layers: Cloud Layer: The cloud layer is the top tier of the architecture and involves the use of cloud computing resources. In this layer, data from healthcare devices

Key Enablers for Intelligent Healthcare Systems

Intelligent healthcare systems rely on a variety of key enablers to enhance patient care, improve operational efficiency, and drive innovation. Here are the key enablers for intelligent healthcare systems: 5G: The high-speed and low-latency capabilities of 5G networks enable real-time


MEC (Multi-access Edge Computing) architecture is a distributed computing framework that brings computational capabilities and services closer to the network edge. It enables low-latency, high-bandwidth, and real-time processing for a wide range of applications. Here is an overview of the

5G MEC-based IoMT Healthcare System Architecture

A 5G Mobile Edge Computing (MEC)-based Internet of Medical Things (IoMT) healthcare system architecture combines the power of 5G connectivity and edge computing to enable efficient and real-time healthcare services. This architecture leverages the capabilities of 5G networks and the