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Biological and Artificial Consciousness: Brain, DNA, and AI Integration

The nature of consciousness remains one of the most profound and unresolved scientific challenges in modern science, intersecting neuroscience, philosophy, cognitive science, genetics, and artificial intelligence research. Despite significant advances in brain imaging, computational modeling, and molecular biology, the mechanisms underlying subjective awareness, self-perception, intentionality, and intelligent decision-making remain only partially understood. Historically, consciousness has been studied primarily as a biological phenomenon rooted in neural activity, but recent developments in artificial intelligence have challenged this view by demonstrating that complex cognitive functions can emerge in synthetic systems. As AI systems increasingly emulate perception, learning, reasoning, creativity, and language processing, researchers are now questioning whether biological and artificial consciousness may share fundamental principles. The integration of biological and artific...

Hybrid Biological–Artificial Intelligence: Integrating DNA, Brain Data, and AI Systems

Hybrid biological–artificial intelligence represents one of the most ambitious scientific paradigms of the 21st century, combining biological intelligence and computational intelligence into unified hybrid systems. This interdisciplinary field integrates human genomics , neuroscience , artificial intelligence systems , and computational biology to create intelligent architectures that bridge organic and digital cognition. At the foundation of this emerging paradigm lies the concept of DNA as an information storage and processing system , alongside large-scale neural connectomics , brain signal decoding, and machine learning models capable of representing biological complexity at multiple scales. This convergence is reshaping fundamental theories in molecular biology, cognitive neuroscience, computational medicine, and evolutionary biology. Recent advances in whole-genome sequencing , epigenomics, transcriptomics, and multi-omics data integration have enabled unprecedented insig...