Quantum Machine Learning Optimization
Authors: Dr. Elena Vasilakis, Prof. Marcus Wei
Published: April 2025
This paper presents a novel framework that leverages quantum algorithms to accelerate optimization tasks in neural networks by 300%. We demonstrate its effectiveness in reducing training time for complex datasets without compromising accuracy.
Read Full Study →Federated Learning for Privacy-Preserving Analytics
Authors: Dr. Priya Srinivasan, Dr. David Chen
Published: March 2025
This study introduces a decentralized machine learning architecture that enables institutions to collaborate on medical diagnoses without sharing patient data, maintaining full compliance with global privacy standards.
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