[ad_1] Introduction Secure multi-party machine learning is an emerging field that aims to address the challenges of privacy and security in machine learning models that involve multiple parties. Traditional machine learning techniques often require sharing…
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[ad_1] Introduction In recent years, there has been a significant increase in the adoption of advanced technologies such as Artificial Intelligence (AI) in various industries, including manufacturing. One of the emerging trends in this domain…
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[ad_1] Introduction Blockchain technology is revolutionizing the way data is stored and shared securely across various industries, including intellectual property protection. Intellectual property refers to creations of the mind, such as inventions, literary and artistic…
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[ad_1] Introduction In recent years, with the increasing use of digital platforms for financial transactions, the issue of fraud has become a significant concern for financial institutions and individuals alike. Traditional rule-based fraud detection systems…
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[ad_1] Introduction In recent years, the adoption of cloud computing has become increasingly popular among individuals and organizations due to its cost-effectiveness and scalability. However, the security of data stored in the cloud has been…
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[ad_1] Introduction With the increasing complexity of software systems, the need for efficient code refactoring and optimization techniques has become more critical than ever. Traditional methods of manual code refactoring and optimization are labor-intensive, time-consuming,…
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[ad_1] Introduction Quantum sensing and metrology have emerged as an exciting field of research with the potential to revolutionize various industries, including healthcare, telecommunications, and security. The ability to detect and measure quantum properties such…
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[ad_1] Introduction Automated machine learning (AutoML) platforms have emerged as a popular tool in the field of machine learning, enabling users to build machine learning models without the need for extensive programming or data science…
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[ad_1] Introduction Homomorphic encryption is a groundbreaking technology that allows for secure data processing on encrypted data without the need for decryption. This means that computations can be performed on encrypted data without revealing the…
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[ad_1] Introduction: With the ever-increasing reliance on digital technologies, cybersecurity has become a critical concern for individuals, businesses, and governments alike. Cyber attacks, including malware, ransomware, and data breaches, pose significant threats to the confidentiality,…
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