/sci/ - Science & Math

>>12686643
that's wrong, retard

>>12687219
that's wrong, retard

>>12686575
None of the above. Current "neural networks" used in deep learning are nothing like biological neural networks. Deep learning has very poor algorithmic scaling compared to bio neural nets (think big O notation), because it's based on dense computations while bio nets use sparse activations. Individual neurons are much less energy efficient than the nanometer scale transistors used in modern computer chips, and yet the human brain is on the order of millions of times more energy efficient than GPU-based deep learning, because the brain has better algorithmic efficiency. We need algorithmic breakthroughs that mimic the sparse activations of bio nets in order to make a true, scalable AI. However, once that happens, you better buckle up because our hardware is far superior to the human brain and you're going to see some crazy superintelligence shit happen overnight once we figure out the software part.

t. deep learning engineer