Friday, January 25, 2019

Ranunculus: Stanford - How to Think Critically about Artificial Intelligence - Dear Bill and Li, (Dr. Clancey and Prof. Jiang), By way of example, here's a MIT robot - "Researchers used a simulation to train this robot dog at super-speed" - which when developed virtually with A.I. could learn to go much faster, due to machine learning A.I., Quantum computing?,Re NASA Utah field site - many potential parallels with creating a realistic virtual Harbin Hot Springs, which is my physical-digital ethnographic field site for actual-virtual anthropological comparison. Could NASA even model both places concurrently, for example? (And re a new STEM and social science method I'm developing and calling ethno-wiki-virtual-world-graphy, Physical-Digital Lego Robotics


Stanford - How to Think Critically about Artificial Intelligence

Dear Bill and Li, (Dr. Clancey and Prof. Jiang), 

Thanks for your fascinating Stanford talk and conversation afterward in "How to Think Critically about Artificial Intelligence" - https://events.stanford.edu/events/822/82240/ - and very nice to meet you. 

Dr. Clancey & Prof. Jiang, Thnx for your fascinating Stanford talk & conversation in "How to Think Critically about Artificial Intelligence" https://events.stanford.edu/events/822/82240/ Would like to stay in touch abt @TensorFlow @TFBestPractices #RealisticVirtualEarth #RealisticVirtualEarthForLego ~

Dr. Clancey & Prof. Jiang, Thnx for your fascinating Stanford talk & conversation in "How to Think Critically about Artificial Intelligence" https://events.stanford.edu/events/822/82240/ Let's stay in touch abt  #RealisticVirtualUniverse #RealisticVirtualHarbin @HarbinBook (@scottmacleod) @WUaSPress ~



Would like to stay in touch, but couldn't find your email address, Bill, and per my question at the close of your talk: how would you think critically about Google's TensorFlow artificial intelligence, and in its potentialities? 

I'd also gladly wiki-add eventually your talk's video to the A.I. wiki subject page at MIT OCW-centric World University and School -  https://wiki.worlduniversityandschool.org/wiki/Artificial_Intelligence. (Check out the MIT OCW courses here to see how WUaS will work, with these courses eventually being for credit, and taught hypothetically by Stanford / MIT graduate students in Google group video Hangouts as 'sections' - and by teaching to the MIT faculty in video). 

Am curious too re the NASA site in Utah you mentioned how one might model that place in a realistic virtual universe/earth and for hypothetically developing a test Mars' Rover geologist - as A.I. - for example? Am thinking here, conceptually, of Google Streetview with TIME SLIDER / Maps / Earth with Tensorflow, and at the cellular and atomic levels too (a ginormous data project) - and for robotics' innovation too. Professor Jiang, with regard to robotics' innovation, am wondering too re thinking critically about A.I. how one might develop the A.I. for Actual-Virtual, Physical-Digital direct correspondence beginning with Lego robotics / the Lego scale (Mindstorms EV3 and WeDo 2.0) and in a SINGLE realistic virtual earth for further innovation, (and for kids too to be able to begin to learn to innovate with Robotics) both actually and virtually.

By way of example, here's a MIT robot - 
https://twitter.com/techreview/status/1085963160752979968 - which when developed virtually with A.I. could learn to go much faster, due to machine learning A.I. 

While such a realistic virtual earth / universe (for everything actually) could likely head in the Quantum computing direction - e.g. 
https://twitter.com/SLAClab/status/1086323215788662784 - am interested in beginning all of this potentially in TensorFlow; Hence, my question: how to think critically about Google's TensorFlow artificial intelligence?
With regards to the NASA Utah field site, I see many potential parallels with creating a realistic virtual Harbin Hot Springs, which is my physical-digital ethnographic field site for actual-virtual anthropological comparison. Could NASA even model both places concurrently, for example? (And re a new STEM and social science method I'm developing and calling ethno-wiki-virtual-world-graphy - https://scott-macleod.blogspot.com/search/label/ethno-wiki-virtual-world-graphy)?

(As an example, ‘enter’ into this realistic virtual earth here - http://tinyurl.com/p62rpcg - where you can visit the Harbin Hot Springs' gate virtually, and "walk" down the road "4 miles" to Middletown, CA, to "amble" around the streets there, if interested (accessible from: https://twitter.com/HarbinBook and http://bit.ly/HarbinBook) ... the beginnings of a realistic virtual Harbin for soaking :) Part of my actual-virtual Harbin Hot Springs' ethnographic project, this realistic virtual Harbin - and EARTH - will get better and better with time (am thinking this will emerge in Google Streetview with TIME SLIDER and with Streetview/Sansar: re Bernhard Drax – Sansar & Google Streetview? Sansar is a social platform exclusively designed for #VR, inspired by Second Life (SL) with realistic AVATAR BOTS ... with digital-physical correspondence for robotics' development too.) Let's begin to develop molecular biosensors for avatar bots in such a realistic virtual earth. (Gave a talk at UC Berkeley last Oct 26, 2018 about Harbin and Robotics - http://scott-macleod.blogspot.com/2018/10/lewis-river-washington-state-uc.html).

Thank you again for your brilliant and inspiring talk, Bill. Appreciating in it too the influences of the 1960s/'70s thinking, a time I'm studying, both re my Harbin project, and in other ways. 

What's your email address, Bill, please, if and when further specific how to think critically about Google's TensorFlow artificial intelligence emerge?

And thank you so much, Li and Bill, for your great Stanford talk. 

Best regards, Scott



-- 
- Scott MacLeod - Founder, President & Professor

- World University and School

- 415 480 4577

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