[ad_1] Introduction Graph neural networks have gained significant attention in recent years for their ability to effectively model relationships and dependencies among entities in complex relational data. In the context of recommender systems, where the…
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[ad_1] Introduction Transfer learning has emerged as a powerful tool in machine learning, allowing models trained on one task or domain to be adapted to new, related tasks or domains. In the field of natural…
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[ad_1] **Introduction** Neuromorphic computing is a cutting-edge technology that seeks to mimic the functionality of the human brain in electronic circuits. This has led to the development of intelligent sensor networks that can perform complex…
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[ad_1] Introduction In recent years, decentralized energy trading has gained significant attention as a means to empower consumers and increase the efficiency of energy markets. Distributed ledger technology, such as blockchain, has emerged as a…
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[ad_1] Introduction: Serverless computing is a revolutionary approach to building and deploying applications in the cloud. It allows developers to focus on writing code without having to worry about managing the underlying infrastructure. Event-driven architectures…
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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 Privacy-preserving smart contracts have gained significant attention in recent years due to the growing concern over data privacy and security in decentralized applications. Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have emerged as…
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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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