Brains versus AI

#artificialintelligence 

The conservative estimate of the brain being in the Zetta-scale of computing is conservative because it is leaving out a long list of the brain's known features that further increase the computational complexity of the brain. Besides the known ones, we still have the unknown ones to discover in the future. The estimate does not include known things like (as listed by Tim Dettmers) multi-neurotransmitter vesicles (which can be thought of as multiple output channels or filters, just as an image has multiple colors); glial cells (besides having an extremely abnormal brain [about one-in-a-billion], Einstein also had an abnormally high number of glial cells. The latest research suggests that astrocytes especially have an active role in brain neuroplasticity and communication. All this complexity and additional capabilities for computation probably pushes a normal brain to Yotta-scale computing, or even more.