Episode 185 – Transparency

Jimmy Kimmel’s Tonight Show, Tonight Showbotics, featuring Hanson Robotics’ Sophia

They’re playing basketball! 🏀 Both for the start of the college basketball season, and at the state fair.  Michael R found an interesting article about how one can win those games of skill and chance at the state fair, leveraging a combination of science and professional sports talent.

In addition to making transparent the ways that a Mets pitcher can win the games at your local carnival, the team takes a look at the transparent skull of Sophia, the artificial intelligence android by Hanson Robotics, how NPR is crowdsourcing journalism with the recently made public JFK Files, that Facebook & Twitter are making strides in ad transparency and how a recently created Soduku Solver uses augmented reality and optical character recognition to do it’s thing.

Michael M remarks that these examples show a gateway to where augmented reality and artificial intelligence is about to explode in a very short amount of time.  How do you think that the combo of AR & AI will change the world?

Selected links 

Kurtis Blow Basketball video —

Mets — http://mets.com

NC State fair — http://www.ncstatefair.org

TechCrunch article:  Watch a real rocket scientist figure out (and beat) carnival scams — https://techcrunch.com/2017/10/26/watch-a-real-rocket-scientist-figure-out-and-beat-carnival-scams/

TechCrunch article:  Saudi Arabia bestows citizenship on a robot named Sophia — https://techcrunch.com/2017/10/26/saudi-arabia-robot-citizen-sophia/

Hanson Robotics — http://www.hansonrobotics.com/robot/sophia/

Tonight Show with Jimmy Kimmel Tonight Showbotics with Sophia — https://www.youtube.com/watch?v=Bg_tJvCA8zw

Future Investment Initiative where Sophia was announced as being the first robot to receive Saudi Arabian citizenship — https://www.youtube.com/watch?v=Bg_tJvCA8zw

NPR article: The JFK Files: Calling On Citizen Reporters — https://www.npr.org/2017/10/26/560220148/the-jfk-files-calling-on-citizen-reporters

TechCrunch article: Facebook says its ad transparency features will go live next month — https://techcrunch.com/2017/10/27/facebook-says-its-ad-transparency-features-will-go-live-next-month/

TechCrunch article: Twitter announces new ‘transparency center’ for ads — https://techcrunch.com/2017/10/24/twitter-advertising-transparency/

Prototypr blog post:  Behind the Magic: How we built the ARKit Sudoku Solver — https://blog.prototypr.io/behind-the-magic-how-we-built-the-arkit-sudoku-solver-e586e5b685b0

Magic Sudoku — https://itunes.apple.com/us/app/magic-sudoku/id1286979959?ls=1&mt=8

Watson on Jeopardy —

What games are the hosts playing?

none!  Busy busy busy!

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Episode 183 – Enhanced Reality

Michael & Michael talk about the promise of bots who listen into meetings, take notes & action items on your behalf, entering them into your tool of choice for follow up.  Talk about the power of the pen — and quite a step up from “Alexa, add eggs to my grocery list”.

Michael R brings up the fact that we’re still in a generation 1.1 world when it comes to AR — really in the beginning stages.  Starting point will be in enterprise and entertainment before AR applications begin to really show up outside of these areas.

Intriguing question:  are the Stormtrooper’s helmets augmented reality viewing devices?  What do you think?

It’s Only A Model
Michael and Michael talk about 3D models launching off the example of Sketchfab and move quickly to the concept of integrating blockchain for provenance.

Looping back to the start of this episode, the Macworld article speculating on Apple’s work on a head up display to allow people to interact with the world through augmented reality lenses that are wearable, and not something that the user needs to hold in front of their eyes makes sense, and will be the breakthrough method to truly accelerate the use of the technology.  Do you think that this is the main hurdle to mass adoption and use?  Let us know!

Selected links 

zoom.ushttp://zoom.us/

Zoom, the 1970s children’s TV show — https://en.wikipedia.org/wiki/Zoom_(1972_TV_series)

TechCrunch article: Zoom brings a dash of augmented reality and artificial intelligence to meetings in latest release — https://techcrunch.com/2017/09/26/zoom-brings-a-dash-of-augmented-reality-and-artificial-intelligence-to-meetings-in-latest-release/

Zoomtopia — http://zoomtopia.us

Meta — http://www.metavision.com

Meta blog: Check Out What Our Partners Have Achieved with Meta — https://blog.metavision.com/the-meta-2-now-supports-rendering-of-steam-vr-applications

Uncanny Valley — https://en.wikipedia.org/wiki/Uncanny_valley

TechCrunch article: Sketchfab’s app may be the best way to try ARKit — https://techcrunch.com/2017/09/26/sketchfabs-app-might-be-the-best-way-to-try-arkit/

Sketchfab — https://sketchfab.com

Thingiverse — https://www.thingiverse.com

Adobe Capture CC app — https://itunes.apple.com/us/app/adobe-capture-cc/id1040200189?mt=8

Blockchain — https://en.wikipedia.org/wiki/Blockchain

Camelot (It’s only a model) —

Macworld article: Why Apple is probably working on a heads-up display — https://www.macworld.com/article/3229744/consumer-electronics/why-apple-is-probably-working-on-a-heads-up-display.html

The making of Ren & Stimpy documentary Indigogo — http://www.slashfilm.com/happy-happy-joy-joy-ren-and-stimpy-documentary/

What games are the hosts playing?

Michael M: Star Trek Timelines — https://itunes.apple.com/us/app/star-trek-timelines/id1001250333?mt=8

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Episode 178 – L33T Learning Siri

 

Just say no to enabling autonomous bots & drones with the ability to apply lethal force.  Following on last week’s episode 177, Michael & Michael start off with a continuation of the discussion on the Pandora’s Box of armed robots.

Moving on to a happier topic, while still staying on the machine learning concept, the pair talks about how Siri and other voice interactive systems have been improved with deep learning.  Not just recorded scripts, but actual intelligence, and more natural interaction is apparent when you listen to how far things have come since the earliest days of Siri — listen to the examples from the Apple Machine Learning Journal article, and we think you’ll agree.

Understanding that you’re talking with a bot vs a human is important to help avoid the uncanny valley where the interaction becomes weird vs expected — perhaps this is why Michael R preferred the Australian accent reminiscent of J.A.R.V.I.S, and how in Star Trek and other science fiction, interaction with the computer was prefaced with “computer!” before issuing a request.

Feedback loops getting faster & faster, which is really evident in machine learning examples applied to games.  When the machine — the program — is experimenting with the game to learn, and figure out what is rewarded, what is not rewarded, and determine a heuristic model for playing the game, which for a human is for fun and for the machine learning example is to maximize the outcome.  The example from the O’Reilly article was particularly intriguing to Michael M who wondered why the AI playing the game did not scoop up each and every present while playing the game.  Michael R made the interesting point that if the machine learning algorithms assume that there’s an infinite number of presents ahead, it makes more sense to quickly move forward and grab the presents because there are more ahead of you than behind.  The screenshot above is from a machine learning model playing Super Mario Kart, where it is easy to see how machine learning quickly gets better and better with successive plays of the game.

Closing out this episode, Michael and Michael include David Ma’s videos of food imagined in the style of  famous directors, a funny song about waffles and a discussion on Zork.  Hope you enjoy these tasty treats!

Selected links 

last week’s show, E177 — What could possibly go wrong? — http://gamesatwork.biz/2017/08/31/episode-177-what-could-possibly-go-wrong/

An open letter to the United Nations Convention on Certain Conventional Weapons — https://futureoflife.org/autonomous-weapons-open-letter-2017

We don’t have long to act — https://qz.com/1058280/we-do-not-have-long-to-act-teslas-tsla-elon-musk-and-others-warn-the-un-about-autonomous-weapons

Six Colors article:  Deep Learning Improves Siri’s voice — https://sixcolors.com/link/2017/08/deep-learning-improves-siris-voice/

Apple’s Machine Learning Journal:  Deep Learning for Siri’s Voice: On-device Deep Mixture Density Networks for Hybrid Unit Selection Synthesis — https://machinelearning.apple.com/2017/08/06/siri-voices.html

Uncanny Valley — https://en.wikipedia.org/wiki/Uncanny_valley

J.A.R.V.I.S. — https://en.wikipedia.org/wiki/Edwin_Jarvis#J.A.R.V.I.S.

O’Reilly article:  Bringing gaming to life with AI and deep learning — https://www.oreilly.com/ideas/bringing-gaming-to-life-with-ai-and-deep-learning

YouTube:  Super MarI/O Kart Commentary — https://www.youtube.com/watch?v=S9Y_I9vY8Qw

Food by Favorite Directors (Sort Of) — https://www.subtraction.com/2017/08/14/food-by-famous-directors-sort-of/

YouTube:  What if Alfonso Cuaron made pancakes?  — https://www.youtube.com/watch?v=6_hpJHNt4IE

Do You Like Waffles?  By Parry Gripp — https://itunes.apple.com/us/album/do-you-like-waffles/id468568946?i=468568983

MIT Technology Review — The Enduring Legacy of Zork — https://www.technologyreview.com/s/608670/the-enduring-legacy-of-zork/

MIT Technology Review article:  Siri for Business — https://www.technologyreview.com/s/600990/siri-for-business/

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