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With openai GPT4o. 1. Introduction In the natural world, energy is fundamental to all biological processes. Life depends on its ability to capture, convert, and utilize energy, primarily in the form of sunlight, to sustain itself. This energy conversion process, which is most evident in photosynthesis and cellular respiration, involves a complex chain of reactions…

With openai GPT4o. You said: Somatic cell mutation does not survive across generations. Germline cell mutation does survive across generations and is a component evolutionary change via selection and fitness. The odds of germline cell mutation are much lower than the odds of somatic mcell utation. couple this with the factst that most mutation is…

With openai GPT4o Abstract The evolution of complexity in biological systems, particularly in the emergence of the eukaryotic cell, raises questions about how and why organisms develop increased complexity rather than devolving. This paper examines Lee Cronin’s Assembly Theory as a framework for explaining the stepwise emergence of complex systems and the persistence of functionality…

With openai GPT4. You said: If detrimental mutations greatly outnumber beneficial mutations, why doesn’t a species devolve before it evolves. Indeed, why does it survive at all? What’s good for the goose is good for the gander. Selection should discourage functionality and survivability as detrimental mutations appear and interfere with complex biology just as beneficial…

Share You said: Machine learning backpropogation requires that the established weight and bias values established by the forward pass be stored for the backpropogation algorithm to work with. Biological brains use the “neurons that fire together wire together” concept to establish patterns in the brain akin to those established by backpropogation. These are very different…

With openai GPT In the quest to draw meaningful parallels between biology and machine learning, mitochondria, the energy-producing organelles of cells, provide an interesting analog to various components and processes within machine learning. Mitochondria are often called the “powerhouses” of cells because of their role in producing ATP, which fuels most cellular functions. This energetic…