H igh-end R esearch on Edge Computing R esearch on Edge Computing 1. Edge AI for Autonomous Systems : With the increasing demand for autonomous systems in various industries, edge AI can improve the decision-making process of autonomous systems by enabling them to process data in real-time and reducing the latency associated with transmitting data to cloud data centers. Researchers are working on developing new edge AI algorithms and architectures that can enable more efficient and accurate autonomous systems. 2. Edge Computing for 5G Networks : As 5G networks become more widespread, the demand for low-latency edge computing infrastructure will also increase. Researchers are working on developing new edge computing architectures that can support the high-speed data transfer and low-latency requirements of 5G networks. 3. Security and Privacy in Edge Computing : Edge computing poses unique security and privacy challenges, such as securing distribu...
Edge computing is a distributed computing paradigm where data processing and analysis take place at or near the source of data, rather than relying solely on remote data centers. This enables real-time processing of data, reduces latency, conserves bandwidth, and improves security. Edge Computing includes Internet of Things, 5G Technologies, Cloud Edge, Real-time Processing, Low Latency, Distributed Systems and Machine Learning on the Edge