Do we have computer hardware sufficient for AI? This question is difficult to answer, but here’s a try:<\/p>\n
One way to achieve AI is by simulating a human brain. A human brain has about 1015<\/sup> synapses which operate at about 102<\/sup> per second implying about 1017<\/sup> bit ops per second.<\/p>\n A modern computer runs at 109<\/sup> cycles\/second and operates on 102<\/sup> bits per cycle implying 1011<\/sup> bits processed per second. <\/p>\n The gap here is only 6 orders of magnitude, which can be plausibly surpassed via cluster machines. For example, the BlueGene\/L<\/a> operates 105<\/sup> nodes (one order of magnitude short). It’s peak recorded performance is about 0.5*1015<\/sup> FLOPS which translates to about 1016<\/sup> bit ops per second, which is nearly 1017<\/sup>.<\/p>\n There are many criticisms (both positive and negative) for this argument.<\/p>\n These sorts of order-of-magnitude calculations appear sloppy, but they work out a remarkable number of times when tested elsewhere<\/a>. I wouldn’t be surprised to see it work out here.<\/p>\n Even with sufficient harrdware, we are missing a vital ingredient: knowing how to do things.<\/p>\n","protected":false},"excerpt":{"rendered":" Do we have computer hardware sufficient for AI? This question is difficult to answer, but here’s a try: One way to achieve AI is by simulating a human brain. A human brain has about 1015 synapses which operate at about 102 per second implying about 1017 bit ops per second. A modern computer runs at … <\/p>\n\n