[ad_1] Introduction: Blockchain technology has gained significant attention in recent years due to its potential to revolutionize various industries, including finance, healthcare, supply chain management, and content distribution. In the context of decentralized content distribution,…
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[ad_1] Introduction In recent years, there has been a growing interest in utilizing neuromorphic computing for online learning applications. Neuromorphic computing, inspired by the structure and functioning of the human brain, offers a promising approach…
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[ad_1] Introduction: Fully homomorphic encryption (FHE) is a revolutionary technology that enables computations to be performed on encrypted data without the need for decryption. This capability opens up new possibilities for secure cloud analytics, allowing…
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[ad_1] Introduction In recent years, there has been a growing emphasis on energy-efficient computing due to the increasing demand for computing resources and the environmental impact of traditional computing systems. One promising approach to address…
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[ad_1] Introduction Quantum algorithms have emerged as a powerful tool in the field of quantum chemistry simulations, offering the potential to efficiently solve complex problems that are intractable using classical computers. In recent years, there…
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[ad_1] Introduction With the rapid growth in the Internet of Things (IoT) technology, the amount of data generated by IoT devices is increasing exponentially. Secure data sharing in IoT environments has become a critical concern…
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[ad_1] Introduction Augmented Reality (AR) is a rapidly evolving technology that has shown great potential in various fields, including education. When combined with Artificial Intelligence (AI), AR has the ability to revolutionize the way students…
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[ad_1] Introduction In recent years, blockchain technology has been widely adopted for various applications such as cryptocurrencies, supply chain management, and voting systems. One of the key components of a blockchain system is the consensus…
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[ad_1] Introduction Privacy-preserving federated learning has emerged as a promising solution for training machine learning models on decentralized data sources while maintaining data privacy and security. In the context of mobile health, where sensitive personal…
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[ad_1] Introduction In recent years, the field of cognitive computing has gained significant attention in various domains, including healthcare, finance, and education. Cognitive computing systems are designed to mimic human thought processes by using artificial…
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