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@Gregozor2121 The DNA strands have a fractal organization. Traversing this pattern is a highly complex mechanical system that reads this data. It also makes decisions as to how to read that data based upon what kind of proteins get produced. This changes/branches the program. So yes, the cell does perform like a computer in the reading of DNA and writing of proteins to perform complex operations in the cell. Are those operations needed for storing data? Not entirely sure, but the chemicals our brain and brain cells produce affect how the entire system operates. So they are processors, just not the same as the ones in a computer.
When you wanted to know deep learning immediately
That's not AI.
The human brain (also animal brains, even ants) are incredibly complex. Each neuron is now supposedly its own processor. So a human brain is a complex network of billions of processors, not just threshold variables. This means to simulate an organic brain sufficiently it will take a huge computer system with billions of parallel processors. Now, I don't know if the sophistication of a computer processor is represented in each cell. So this may not be equivalent to billions of pentium cores for instance. However, it still presents a huge challenge for AI, as it exists now, to replicate. My thoughts are that AI that is silicon based will take a different approach that leverages how computers work. My guess is that current neural net models are not a good match for this unknown AI. Will it inherently exhibit pattern matching like an organic brain? Or will it be a different kind of consciousness altogether? Will we even realize it is self aware? Will my roomba plan to kill my pet for my attention? What are some other models being employed in AI research?
random
modeling nature
brain
ai