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Unlikely and unusual uses for AI | Electronics360

Unlikely and unusual uses for AI | Electronics360
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Germany
German
Johns-hopkins
University-of-maryland
United-nations
Artificial-intelligence
Tractor-supply
Dollar-general
Shelf-engine
Support-vector-machine

Data Science Senior Specialist | PwC Bulgaria | Обяви

Data Science Senior Specialist | PwC Bulgaria | Обяви
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United-states
United-kingdom
America
Risk-assurance-services
Recurrent-neural-network
Term-memory-network
Convolutional-neural-network
Data-science
Eastern-european
Central-europe
North-america

"Leveraging AI and Blockchain for Privacy Preservation and Security in " by S. B. Goyal, Anand Singh Rajawat et al.

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

Artificial-intelligence
Industrial-internet
Support-vector-machine

Study aims to enhance rainfall prediction in arid landscapes

Study aims to enhance rainfall prediction in arid landscapes
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United-states
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Computer-engineering-of-colorado-state-university
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Department-of-electrical
National-water
United-arab-emirates-university
Random-forest
Gradient-boost
Support-vector-machine

How ML Model Data Poisoning Works in 5 Minutes

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.

Microsoft
University-of-chicago
Large-language-models
Large-language
Support-vector-machine

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