[ad_1] Introduction Generative adversarial networks (GANs) have revolutionized the field of artificial intelligence by enabling the generation of highly realistic images, text, and other forms of data. One of the most exciting applications of GANs…
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[ad_1] Introduction Secure multi-party computation (MPC) is a field of research aimed at enabling multiple parties to jointly compute a function on their private inputs while keeping those inputs confidential. With the increasing amount of…
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[ad_1] Introduction Reinforcement learning is a machine learning technique that has gained significant attention in recent years for its ability to enable computer systems to learn and make decisions in complex environments. Personalized education has…
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[ad_1] Introduction In recent years, the field of cryptography has faced a significant challenge with the emergence of quantum computing. Quantum computers have the potential to break many of the traditional encryption algorithms that are…
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[ad_1] Introduction In today’s digital age, organizations are increasingly recognizing the importance of collaboration and knowledge sharing to drive innovation and stay competitive in the market. However, one of the challenges that organizations face when…
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[ad_1] Introduction: Quantum machine learning is a relatively new and exciting field that combines aspects of quantum mechanics and machine learning to solve complex problems in various domains. In recent years, quantum machine learning has…
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[ad_1] Introduction: Decentralized online marketplaces have revolutionized traditional ways of conducting commerce by leveraging blockchain technology. This thesis aims to explore the potential of decentralized online marketplaces using blockchain to enhance security, transparency, and efficiency…
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[ad_1] Introduction In recent years, the field of quantum computing has gained increasing attention for its potential to revolutionize traditional optimization techniques. Quantum-inspired optimization algorithms, which draw inspiration from the principles of quantum mechanics, have…
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[ad_1] Introduction Visual question answering (VQA) is a challenging task that involves understanding natural language questions about images and generating accurate answers. Multi-modal learning, which combines information from both visual and textual modalities, has shown…
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[ad_1] Introduction: Federated reinforcement learning is a cutting-edge technique that combines the power of reinforcement learning with the distributed nature of federated learning. This approach has shown immense potential in various domains, including smart manufacturing.…
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