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Which is why I am claiming that a comparison of energy efficiency of the two, as seen in most literature, is invalid.
by alok-g 8y ago
Which is why I am claiming that a comparison of energy efficiency of the two, as seen in most literature, is invalid.
- p1esk 8y agoI think this comparison assumes that we want to do whatever brain does - the way brain does it. Because we don't know any alternative way to do it. So we try to emulate the brain (replicate neuronal operations) using transistors (or memristors, etc). This does not make sense for some tasks, such as doing matrix multiply in FP64 precision, but it does make sense for the tasks we care about the most - whatever it is that makes us intelligent (AGI). At least until we can abstract the details of the brain operation which are not important from AGI standpoint.
- alok-g 8y agoWe should wait for the energy comparisons to be made till we understand. :-) Emulating brain with machines or vice versa is not an interim solution. Alternatively, perhaps the common task could today be defined based on something that Deep Learning can handle, like say visual object recognition using a pretrained model.