[ad_1] Introduction The growing popularity of multimedia data such as images, videos, and text has propelled the need for effective cross-modal information retrieval systems. Cross-modal information retrieval aims to retrieve relevant information across different types…
Read More
[ad_1] Introduction Quantum key distribution (QKD) is a cutting-edge technology that utilizes principles of quantum mechanics to establish secure communication channels. With the increasing reliance on digital systems in industrial control systems, the need for…
Read More
[ad_1] Introduction Quantum machine learning has emerged as a promising field that combines the principles of quantum mechanics and machine learning to solve complex problems efficiently. In this study, we focus on the application of…
Read More
[ad_1] Introduction Quantum-inspired optimization is a cutting-edge computational technique that leverages principles from quantum mechanics to solve complex optimization problems. In recent years, researchers have been exploring the potential of quantum-inspired optimization algorithms for various…
Read More
[ad_1] Introduction In today’s digital age, the collection and analysis of personal data have become ubiquitous. With the rise of recommendation systems that utilize personal data to provide personalized recommendations, there is a growing concern…
Read More
[ad_1] Introduction: Graph neural networks (GNNs) have emerged as a powerful tool in the field of machine learning for various applications, including molecular property prediction. The ability of GNNs to learn from the graph structure…
Read More
[ad_1] Introduction Distributed ledger technology (DLT) has gained significant attention in recent years, especially in the realm of decentralized autonomous organizations (DAOs). DAOs are organizations that operate without human intervention, using smart contracts and DLT…
Read More
[ad_1] Introduction Serverless computing has emerged as a promising paradigm for real-time stream processing, offering a scalable and cost-effective solution for handling large volumes of data in real-time applications. With traditional server-based architectures, organizations often…
Read More
[ad_1] Introduction: Privacy-preserving machine learning has become increasingly important in a world where data privacy is a major concern. Zero-knowledge proofs offer a promising solution to this issue by allowing parties to prove the validity…
Read More
[ad_1] Introduction Secure multi-party computation (MPC) is a subfield of cryptography that enables parties to jointly compute a function of their inputs while keeping those inputs private. Privacy-preserving clustering is a data mining technique that…
Read More