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Unlikely and unusual uses for AI | Electronics360
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Data Science Senior Specialist | PwC Bulgaria | Обяви
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INTRODUCTION: Cloud computing's offshoot, fog computing, moves crucial data storage, processing, and networking capabilities closer to the people who need them. There are certain advantages, such improved efficiency and lower latency, but there are also some major privacy and security concerns. For these reasons, this article presents a new paradigm for fog computing that makes use of blockchain and Artificial Intelligence (AI). OBJECTIVES: The main goal of this research is to create and assess a thorough framework for fog computing that incorporates AI and blockchain technology. With an emphasis on protecting the privacy and integrity of data transactions and streamlining the management of massive amounts of data, this project seeks to improve the security and privacy of Industrial Internet of Things (IIoT) systems that are cloud-based. METHODS: Social network analysis methods are utilised in this study. The efficiency and accuracy of data processing in fog computing are guarante
Study aims to enhance rainfall prediction in arid landscapes
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Training data poisoning on LLMs deals with injecting poisonous data during the training phase. In this article, we will be focusing on attack scenarios, previous successful attacks, and prevention mechanisms along with good examples.