I love Go and the mysterious exponential expansion of humans and their creations -- while in 3 hours I just dashed off a methanol missive, my online game for 17 years now...
5 sweeteners harm human cells in vitro -- Armorel Diane van Eyk 2014.10.15 -- check for similar harm from methanol -- made by ADH1 enzyme in 20 human cells into formaldehyde, the WC Monte paradigm: Rich Murray 2016.03.14 http://rmforall.blogspot.com/2016/03/5-sweeteners-harm-human-cells-in-vitro.html Drug Chem Toxicol. 2015;38(3):318-27. doi: 10.3109/01480545.2014.966381. Epub 2014 Oct 15. The effect of five artificial sweeteners on Caco-2, HT-29 and HEK-293 cells. van Eyk AD 1. 1 Division of Pharmacology, Department of Pharmacy and Pharmacology, University of the Witwatersrand , Parktown , South Africa. http://www.tandfonline.com/doi/abs/10.3109/01480545.2014.966381 Taylor & Francis Group Armorel Diane van Eyk ... !! Rich Murray On Mon, Mar 14, 2016 at 5:16 PM, Roger Critchlow <[email protected]> wrote: > You can learn about the science of ridiculously complicated neural > networks through a free Udacity course from Google, > > https://www.udacity.com/course/deep-learning--ud730 > > it won't explain alphago's networks but will explain the general > architecture (watts towers?) and the google Tensor Flow toolkit. > > I ended up skipping the exercises because of tool problems, but the video > lectures give a pretty good overview of how to build inscrutable computer > programs for several different classes of inscrutability. The discussion > of how to feed images into deep learning networks probably covers a lot of > the techniques used in alphago. > > -- rec -- > > > On Mon, Mar 14, 2016 at 6:52 PM, Russ Abbott <[email protected]> > wrote: > >> You can get most articles through Sci-Hub >> <https://plus.google.com/u/0/+RussAbbott1/posts/5YGik2SsyDV>. The Nature >> piece is available here >> <http://sci-hub.io/http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html>. >> Amazing! >> >> -- Russ >> >> On Mon, Mar 14, 2016 at 3:38 PM Robert J. Cordingley < >> [email protected]> wrote: >> >>> Access, for a fee, to the original Jan, 2016 Nature article on AlpahGo >>> is at >>> http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html. >>> The freely available abstract says it uses deep neural networks ('value >>> networks' and 'policy networks'), tree search and Monte Carlo algorithms. >>> Figures and tables with more information are also freely available from >>> http://www.nature.com/nature/journal/v529/n7587/fig_tab/nature16961_ft.html >>> >>> Robert C >>> >>> >>> On 3/13/16 8:53 PM, Steve Smith wrote: >>> >>> Me, I'm still stuck in the 80's... most of what I know about GO programs >>> involves trying to solve them using cellular automata systems based on the >>> promise of hardware implementations and other esoteric ways of doing CA >>> computation... Tomasso Toffolli's custom CA hardware was one promising >>> thing that I think eventually fizzled as was our own Jim Crutchfield's >>> analog "video feedback" CA computing concepts... >>> >>> My own favorite which I went on to do some exploratory work in was the >>> "memoisation" work of Bill Gosper which involves generating hash tables at >>> each scale (say 3x3, 6x6, 12x12, 24x24) cell arrays such that if >>> "redundant" patterns occurred at any scale they could be "looked up" >>> instead of computed. In a 3x3 (9 cell) array, there are naturally only >>> 512 (2^9) hash indices so the computation at that level is manageable by >>> memoisation... while a 6x6 is 2^36 or roughly 64M entries, not quite so >>> tractable/trivial if the distribution of possible configurations of binary >>> CA were uniform... which interesting GO configurations naturally are >>> NOT. A slight modification to this is that a binary CA is not sufficient >>> since the states of each cell can be White/Black/Empty... so the math >>> changes to 4^9 and 4^26,etc... >>> >>> Similar attempts were made for checkers and chess which as I remember, >>> the state space for Checkers is much larger than for Chess (surprising?) >>> but GO... much higher (larger board!) and the depth (number of relevant >>> moves ahead) also much higher! >>> >>> I look forward to hearing what the current state of computer GO play >>> might look like as well! >>> >>> - Steve >>> >>> >>> There were stories during the expert systems episode in the 80's that >>> some experts when debriefed in an attempt to identify their rules went on >>> to lose faith in their own expertise and to resign from the field. Other >>> anecdotes talked about how some experts weren't capable of expressing their >>> expertise - such knowledge, skills & experience was referred to as >>> 'compiled knowledge', accessible but not expressible, much like Artificial >>> Neural Networks are. Work >>> <http://www.sciencedirect.com/science/article/pii/0950705196819204> to >>> address this problem has been underway since the 90's. Perhaps others here >>> can provide an update? >>> >>> Robert C >>> >>> On 3/13/16 8:45 AM, Marcus Daniels wrote: >>> >>> I think a deep neural network trained from self play has a subjective, and >>> even inscrutable inner representation. Imagine such techniques were >>> applied to public policy decisions or medical diagnosis. Without a >>> linguistic component that co-evolved to describe a taken action, one could >>> be left with robot savants that outperformed humans on crucial tasks and no >>> one, including the robot, would have any idea why. >>> >>> Sent from my iPhone >>> >>> >>> On Mar 13, 2016, at 8:01 AM, Roger Critchlow <[email protected]> <[email protected]> >>> wrote: >>> >>> I've been watching parts of the match between Lee Sedol and Alpha Go on the >>> youtube deepmind channel. It's quite good, they start off with a >>> discussion of the previous game, give running commentary during the game, >>> and audibly gasp when the progress of the game shocks them. The post match >>> press conferences are not to be missed, either. It's a completely trump >>> free zone. >>> >>> But you're looking at a full day's work for each game, 6 hours and 17 >>> minutes of video from last night's game which Lee Sedol won. I was too >>> tired to stay up and watch so I tuned into youtube this morning and watched >>> the endgame. >>> >>> Apparently I forwarded past the key move, #78, which a Chinese journalist, >>> quoting a Chinese commentator, called "a God's move". Lee Sedol replied >>> that it was the only move he had at the time, that he had thought it would >>> be easier to make some profit, but it was quite difficult. >>> >>> So the same play is described as both creative genius and inevitable in the >>> space of a few sentences. Glad to know that some things will never change. >>> >>> -- rec -- >>> >>> >>> ============================================================ >>> FRIAM Applied Complexity Group listserv >>> Meets Fridays 9a-11:30 at cafe at St. John's College >>> to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com >>> >>> ============================================================ >>> FRIAM Applied Complexity Group listserv >>> Meets Fridays 9a-11:30 at cafe at St. John's College >>> to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com >>> >>> >>> -- >>> Cirrillian >>> Web Design & Development >>> Santa Fe, NMhttp://cirrillian.com281-989-6272 (cell) >>> Member Design Corps of Santa Fe >>> >>> >>> >>> ============================================================ >>> FRIAM Applied Complexity Group listserv >>> Meets Fridays 9a-11:30 at cafe at St. John's College >>> to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com >>> >>> >>> >>> >>> ============================================================ >>> FRIAM Applied Complexity Group listserv >>> Meets Fridays 9a-11:30 at cafe at St. John's College >>> to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com >>> >>> >>> -- >>> Cirrillian >>> Web Design & Development >>> Santa Fe, NMhttp://cirrillian.com281-989-6272 (cell) >>> Member Design Corps of Santa Fe >>> >>> ============================================================ >>> FRIAM Applied Complexity Group listserv >>> Meets Fridays 9a-11:30 at cafe at St. John's College >>> to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com >> >> >> ============================================================ >> FRIAM Applied Complexity Group listserv >> Meets Fridays 9a-11:30 at cafe at St. John's College >> to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com >> > > > ============================================================ > FRIAM Applied Complexity Group listserv > Meets Fridays 9a-11:30 at cafe at St. John's College > to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com >
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