A month ago I touched on this topic in “The Brain as a Universal Learning Machine”. I intend to soon write a post or two specifically focusing on near term predictions for the future of DL AI leading to AGI. My main counterintuitive point is that the brain is actually not that powerful at all at the circuit level.
It’s not the algorithms, it’s the circuitry itself that is inefficient. Signals propagate slowly through the brain. They require chemical reactions. Neurons are actually fairly big. You could fill the same space with many smaller transistors.
Oh yes.
A month ago I touched on this topic in “The Brain as a Universal Learning Machine”. I intend to soon write a post or two specifically focusing on near term predictions for the future of DL AI leading to AGI. My main counterintuitive point is that the brain is actually not that powerful at all at the circuit level.
Quite possible, even quite likely. I think that the nature is trying to tell us this, by just how bad we humans are at arithmetic, for example.
It’s not the algorithms, it’s the circuitry itself that is inefficient. Signals propagate slowly through the brain. They require chemical reactions. Neurons are actually fairly big. You could fill the same space with many smaller transistors.