Knock - IT Networking, Department of Computer Applications, SRMV CAS

Introduction to AI and Edge Computing The rapid rise of the applications powered by  Artificial Intelligence  raises the data center's technical requirements, which generates high costs. The cloud is not a valid alternative in many cases. In these cases, the best option may be edge computing, which can provide the necessary computing power and minimize service delivery latency. Therefore it is necessary to Bringing AI into Edge Computing. What is Edge AI? Edge AI is the combination of Edge computing and Artificial Intelligence. With Edge AI, AI algorithms are executed locally on a hardware device using the data collected from Edge computing. As the data is collected and processed in real-time, it reduces power consumption as well as data costs since the device doesn't need to be connected to the internet at all times. Edge computing brings processing, computation, and data storage closer to where it is generated and collected instead of relying on moving it to a remote locatio...

  DevOps DevOps is  the combination of cultural philosophies, practices, and tools that increases an organization's ability to deliver applications and services at high velocity : evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes. DevOps focuses on breaking down traditional silos between development and operations, enabling a more seamless and iterative approach to software development. Some key principles and practices of DevOps include: Continuous Integration (CI): Developers frequently integrate their code changes into a shared repository. Automated tests and code analysis are executed to catch integration issues early. Continuous Delivery (CD): Automated deployment pipelines ensure that code changes are tested, validated, and ready for production deployment at any point in time. This includes automated testing, building, and packaging of software. Infrastructure a...

  AI tools for the classroom What is artificial intelligence? Artificial intelligence (AI) refers to the ability of a computer or machine to perform tasks that would normally require human intelligence, such as learning, problem-solving, decision-making, and more. There are several different approaches to building AI systems, including machine learning, where a system is trained on a dataset and can improve its performance over time, and rule-based systems, where the system follows a set of predetermined rules to make decisions.  AI can be applied to a wide range of areas, including natural language processing, image and video recognition, robotics, and more. The goal of AI research is to create systems that can perform tasks at least as well as, or ideally better than, humans. AI has the potential to revolutionize many industries and transform the way we live and work, but it also raises important ethical and social questions. source: https://ditchthattextbook.com/wp-con...