[ad_1] **Introduction** Deep learning models have achieved remarkable success in various natural language processing tasks, including natural language inference (NLI). NLI, also known as textual entailment, aims to determine the logical relationship between a premise…
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[ad_1] Introduction: As the era of quantum computing approaches, traditional digital signature algorithms are becoming increasingly vulnerable to attacks by quantum computers. Quantum computers have the potential to break widely used encryption schemes such as…
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[ad_1] Introduction: Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) are cryptographic protocols that allow one party to prove to another party that they have knowledge of a certain statement without revealing any information about the…
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[ad_1] Introduction Federated transfer learning is a cutting-edge approach in machine learning that leverages knowledge transfer among multiple organizations to enhance predictive models without the need to share sensitive data. Specifically, it aims to address…
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[ad_1] Introduction In recent years, the field of materials discovery has undergone a rapid transformation due to the advancements in quantum machine learning techniques. Quantum machine learning combines concepts from quantum mechanics and machine learning…
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[ad_1] Introduction The emergence of blockchain technology has revolutionized various industries, introducing new possibilities for secure and decentralized systems. One of the promising applications of blockchain is in identity management, where individuals have control over…
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[ad_1] Introduction Interpretable machine learning has become increasingly important in the field of fraud detection as organizations seek to understand the decisions made by automated systems and comply with regulations such as GDPR. The ability…
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[ad_1] Introduction Differential privacy is a concept that has gained significant attention in recent years, particularly in the context of location-based services. With the increasing use of location data for various applications such as personalized…
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[ad_1] Introduction Quantum machine learning is a rapidly growing field that aims to combine the power of quantum computing with machine learning algorithms to solve complex problems in various domains. However, quantum computers are highly…
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[ad_1] Introduction: With the advancement of technology and biomedical research, drug-drug interactions (DDIs) have become a significant concern in the field of pharmacology. DDIs occur when two or more drugs interact with each other, leading…
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