Explore our collection of papers and articles that contribute to the broader scientific community.
October 2023
This paper introduces the theory of contextual entanglement, applying principles of quantum mechanics to model complex semantic relationships in text. We demonstrate its superiority over classical transformer architectures in tasks requiring deep contextual understanding.
August 2023
We propose a novel framework for defending against adversarial attacks on machine learning models. Our system uses reinforcement learning to train a proactive defense agent that anticipates and mitigates threats before they occur, significantly improving model robustness.
June 2023
This article explores the emerging field of human-AI artistic collaboration. We analyze the creative output of the Genesis AI platform and propose a new model for co-creativity that emphasizes augmentation and synergistic partnership over autonomous generation.
