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With openai GPT4o. Abstract Artificial Neural Networks (ANNs), particularly Large Language Models (LLMs), have revolutionized AI, but their operations can be deeply informed by the principles of quantum mechanics and thermodynamics. This paper explores how concepts such as entropy minimization, energy landscapes, and quantum superposition shape neural computation. Bridging quantum physics, statistical mechanics, and ANN…

Share You said: explain how the central dogma of biology that includes a translation table evolved from random mutation and selctiom ChatGPT said: ChatGPT The evolution of the central dogma of biology (DNA → RNA → protein) and the translation table (genetic code) from random mutation and selection is one of the most profound mysteries…

With openai GPT4o. Abstract Information transfer is a driving force of evolution, shaping biological systems, cultural paradigms, and technological progress. Two principal modes of information propagation—horizontal information transfer (HIT) and vertical information transfer (VIT)—define the pathways through which traits, knowledge, and innovations spread and evolve. HIT involves peer-to-peer exchanges, such as horizontal gene transfer (HGT)…

With openai GPT4o. Abstract Horizontal gene transfer (HGT) in biology and horizontal meme transfer in society are analogous processes of lateral information exchange. This paper examines the mechanisms, evolutionary implications, and constraints of these phenomena, using specific examples such as antibiotic resistance in bacteria and the viral spread of internet memes. By analyzing these parallels,…

I. Introduction to the Convergence of Disciplines The scientific world is undergoing a transformation as biology, medicine, and AI converge to tackle questions of life, disease, and human health. This convergence represents not just a technological leap but a conceptual one, integrating disciplines to provide new insights into complex systems. Tools like genome sequencing, microfluidics,…

With openai GPT4o. Abstract This paper explores the potential convergence of biological life and artificial intelligence (AI) within the frameworks of Boltzmann and Shannon entropies. By examining the dynamic interplay between physical order (Boltzmann entropy) and information content (Shannon entropy), we identify conditions under which these seemingly disparate systems might occupy the same entropy space.…