Hi. Here's a recent essay relating to machine intelligence.
It is titled: "Architectural limits to computation": http://matchingpennies.com/architectural_limits_to_computation/ The topic is hardware limitations and bottlenecks. Three of these are listed: * Lack of parallelism; * Global synchrony; * Digitization; In the essay, I argue that the demands of machine intelligence systems is likely to supply pressure to overcome these issues. I also point out the the effect of architectural changes to overcome these issues would be large - and that if they all happened it would be a spectacular revolution in our ideas about how to build computers. Probably the most controversial point is the third one - where I weigh in on the issue of whether there will be a resurgence of analog computing associated with neuromorphic hardware (or other similar machine learning hardware). This seems plausible to me - but the larger issue of whether most future computers will be digital, analog or hybrid designs seems unclear. -- __________ |im Tyler http://timtyler.org/ ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
