Empirically, neural networks are the best known solutions to vision and natural language. 2 petaflops is close to enough for a human brain sized neural network but the system would need a lot more memory than 2 TB. 1 PB would be closer. GPU arrays are also poorly suited for sparsely connected networks like the brain.
On Tue, Nov 20, 2018, 2:03 PM Stefan Reich via AGI <agi@agi.topicbox.com wrote: > For AGI we need something else than neural networks though. > > On Tue, 20 Nov 2018 at 05:38, Alan Grimes <alonz...@verizon.net> wrote: > >> Here's 2PF: >> >> http://images.nvidia.com/content/pdf/dgx-2-print-datasheet-738070-nvidia-a4-web.pdf >> >> needs 10kw power tho. =\ >> >> -- >> Please report bounces from this address to a...@numentics.com >> >> Powers are not rights. >> > > > -- > Stefan Reich > BotCompany.de // Java-based operating systems > *Artificial General Intelligence List <https://agi.topicbox.com/latest>* > / AGI / see discussions <https://agi.topicbox.com/groups/agi> + > participants <https://agi.topicbox.com/groups/agi/members> + delivery > options <https://agi.topicbox.com/groups/agi/subscription> Permalink > <https://agi.topicbox.com/groups/agi/T421b9482285552e8-M612843225b33eafcaa358a0e> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T421b9482285552e8-M556eba005e1e26fd2a0107be Delivery options: https://agi.topicbox.com/groups/agi/subscription
