Computing, Clouds, Analytics and Artificial Intelligence at the Edge

Edge computing is the emerging technique which provides solution for issues by mitigating the transmission of data, enhancement of latency, and reducing the pressures using the cloud. Edge computing became the pioneer for new technologies and also paved the way for updating of various state-of-art works for different applications. It also enhances the abilities of end device hardware and extensive usage of virtual technologies. The framework of edge computing is added advantage to the cloud and in some places, it replaces the cloud role also. However, the edge computing does not completely replace the cloud because only cloud can be applicable for the computation intensive tasks which depend on the higher storage and power which cannot be provided by the Edge computing. Embodied AI real-world navigation is the process of developing systems capable of interacting with the physical environment via sensors, cameras, and actuators, such as robots, drones, or mixed reality headsets. It entails navigating complicated and dynamic settings, reacting to changes and happenings in real time, and exploring unfamiliar and dangerous territory. It also has uses in a variety of fields, including distribution, disaster assistance, entertainment, and education. Hence, much application utilizes the integration of both cloud, Embodied AI, and edge computing for better performance and also brings more convenient for the users.