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.
Read MoreEthical 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.
Read MoreQuantum 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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