Artificial Intelligence for Supporting Integrated Sensing and Secured Communication in 6G Assisted Edge Networks

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Artificial Intelligence for Supporting Integrated Sensing and Secured Communication in 6G Assisted Edge Networks

The fusion of humans and machines is transforming industries worldwide. By combining the strengths of both, we can create a more efficient, responsive, and productive environment. In this context, edge and cloud computing play a vital role in bridging the gap between humans and machines.

The Rise of Edge Computing

Edge computing is a distributed computing model that brings data processing closer to the source of the data. This approach enables real-time processing of large volumes of sensor data, which is critical in industries such as manufacturing, healthcare, and finance. With edge computing, machines can process data rapidly, making decisions that were previously impossible. For instance, in manufacturing, edge devices can monitor equipment performance and make adjustments to optimize production. In healthcare, edge devices can analyze medical data to provide real-time insights for diagnosis and treatment.

The Cloud: A Critical Component

Cloud computing is an essential component of edge computing. Cloud infrastructure provides the necessary computing power, storage, and scalability to support edge computing. By leveraging cloud resources, edge devices can process and analyze data more efficiently, enabling faster decision-making and improved productivity. Cloud computing also provides a secure and reliable environment for data storage and processing, ensuring that data is protected from unauthorized access and breaches.

The Future of 6G

The development of 6G technology is poised to revolutionize the way we interact with machines. With faster data transfer rates and lower latency, 6G will enable seamless communication between humans and machines. In the context of edge and cloud computing, 6G will enable real-time processing and analysis of data, further enhancing the decision-making capabilities of machines. The integration of 6G with edge and cloud computing will create a powerful ecosystem that will transform industries and revolutionize the way we live and work.

Conclusion

The harmonization of humans and machines is critical to the success of AI-driven industries. Edge and cloud computing play a vital role in this harmony, enabling real-time processing and analysis of data. The development of 6G technology will further enhance the capabilities of edge and cloud computing, creating a powerful ecosystem that will transform industries and revolutionize the way we live and work. As we move forward, it is essential to continue innovating and pushing the boundaries of what is possible with edge and cloud computing, ensuring that humans and machines work together in perfect harmony.

Originally published on https://www.iisertvm.ac.in/openings/read/openings-recruitment-for-the-post-of-jrf-on-externally-funded-project-artificial-intelligence-for-supporting-integrated-sensing-and-secured-communication-in-6g-assisted-edge-networks-2

Originally published on https://www.iisertvm.ac.in/openings/read/openings-recruitment-for-the-post-of-jrf-on-externally-funded-project-artificial-intelligence-for-supporting-integrated-sensing-and-secured-communication-in-6g-assisted-edge-networks-2

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