Sony Has Opened Pre-orders For Its $840 SmartEyeglasses — Complete With A Bulky Frame That Makes Google

1995 Video of Virtual IO’s I-Glasses. Virtual reality Head Mounted Display

YouTube Artifacts

Latest AR exhibition from MoMAR (who ran a guerilla show earlier this year) returns to the Pollock Room at MoMA New York featuring works by David Kraftsow, responsible for the YouTube Artififacts bot that regularly generates animated images from distorted videos:

Welcome to The Age of the Algorithm. A world in which automated processes are no longer simply tools at our disposal, but the single greatest omnipresent force currently shaping our world. For the most part, they remain unseen. Going about their business, mimicking human behavior and making decisions based on statistical analysis of what they ‘think’ is right. If the role of art in society is to incite reflection and ask questions about the state of our world, can algorithms be a part of determining and defining people’s artistic and cultural values? MoMAR presents a series of eight pieces created by David Kraftsow’s YouTube Artifact Bot.

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4DAR ARKit Unity

Developer  应高选 has been experimenting with 4DViews’ free 4D captures and shares the results - particularly striking is this one using the new Apple ARKit and Unity software:

4DAR with ARKit and Unity3D, real man and real scale. iPhone6s test.

Here is an example using the same assets at a smaller scale:

应高选’s YouTube channel can be found here

4DViews on PK (from last week) Here

[Update 10/07/17]

Here is a video from 4DAR demonstrating how to put together your ownin 5 minutes:

Almost realtime visual tutorial on using 4DViews volumetric capture sequence with Unity and Apple ARKit, for fast hologram display

Fractal Friday ॐ Not my photo ॐ

K-2SO will be there for you in augmented reality. Visit www.starwars.com/k2andme to find out how.

Sunflowers or Gears Turning Stimboard for anon

Sources: (x) (x) (x)  (x) (x) (x)  (x) (x) (x)

A robot communicates through an interface.

Saturn 3 (1980)

Vimeo pitch of the founders of Ethereum, who want to use the Bitcoin architecture to reinvent the rest of our political economy—smart contracts, distributed corporations, and even decentralized political parties

Supervised Machine Learning Trainer 3607A

Speculative Design video short from Benedict Hubener, Keyur Jain, and James Zhou of CIID imagines how the future of Smart City maintenence works, with on-site engineers handling Machine Learning equipment with surveillance infrastructure:

In the near future, cities are filled with smart infrastructure such as decentralized security cameras, self-sorting trashcans and intelligent street lights. But who do you call when smart things breaks? The future smart city is not a sci-fi dystopia made out of glass, concrete, and job stealing robots. It’s place much like our own and filled with the banality of everyday life and mundane jobs. Regardless of how you imagine the future smart city, someone needs to get in their white van, take out their ladder, and fix broken things.

The SMLT 3607A or Supervised Machine Learning Trainer is a tool for the future city maintenance worker. He/she can use the SMLT to interface with abnormally behaving smart infrastructure such as a surveillance camera identifying people as eggplants. He/she can retrain the smart camera by recording new examples in real time. The future maintenance worker will teach the camera what it’s seeing and curator the training dataset. He/she will help the camera learn the difference between people and objects and decide who should be classified as an upstanding citizen or a petty criminal.

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