Publications

Recursive Self-Improvement in Neural Networks: A Breakthrough Approach

Authors: Dr. Emily Chen, Dr. Michael Johnson

Published: June 2025

Abstract: This groundbreaking paper presents a novel architecture for neural networks capable of modifying their own structure and learning algorithms, paving the way for true recursive self-improvement in AI systems.

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Ethical Considerations in the Development of Superintelligent AI

Authors: Prof. Sarah Williams, Dr. David Lee

Published: March 2025

Abstract: An in-depth analysis of the ethical challenges and potential societal impacts of developing superintelligent AI systems, with proposed guidelines for responsible research and development.

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Quantum Computing and Its Role in Accelerating AI Self-Improvement

Authors: Dr. Alex Patel, Dr. Lisa Thompson

Published: November 2024

Abstract: This paper explores the potential synergies between quantum computing and AI self-improvement, proposing novel algorithms that leverage quantum properties to enhance learning and optimization processes.

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