4 ms·
This means that to emulate the near one quadrillion connections in the human brain would take about $10B today, assuming they can scale this system by 5 orders
by cr4zy 13y ago
This means that to emulate the near one quadrillion connections in the human brain would take about $10B today, assuming they can scale this system by 5 orders of magnitude with the same connections per dollar. Although they did manage to double their connections per dollar going from 1 to 11 billion connections.
- duaneb 13y agoI would assume that at some point latency would be a larger issue.
- waps 13y agoThe great thing about pulse-based neural networks (like a human brain) is that latency, as long as it's constant, is not an issue. In fact you'd want connections with a wide variety of different latencies. They should be random, but remain constant over the life of the simulation. Plus you have to keep in mind that this is a simulation. Computer can't keep up ? Run it at half "real-time".
- Udo 13y ago> This means that to emulate the near one quadrillion connections in the human brain would take about $10B today It's important though to recognize that we're still missing the appropriate software to run brains. Technically, BlueBrain can run a cat's cortex today. Practically though just pumping up the number of neurons and connections does not yield general intelligence or consciousness, so BlueBrain cannot actually run a cat. Just as an even bigger supercluster cannot just run a human-like intelligence, even though the processing power might be there. Furthermore, these are brute-force simulation ambitions. I would go out on a limb here and assert that we could actually run a human-level consciousness on much less hardware. Computers are very good at some things where our brains have to mount enormous infrastructure just in order to do OK.