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November 13 2017

October 01 2017

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Heaven looks like this.

September 25 2017

September 21 2017

A new kind of map: it’s about time – Points of interest

Incredibly interesting approach to mapping based on time.

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Augmented Reality app lets you discover new music through musical performances:

Firstage (Pronounced First Stage) is the world’s first augmented reality music stage, but most importantly it is made by artists for artists. It removes the barriers that prevent bands reaching new fans across the world and allows them to make real money doing it.

Technology is our friend but this is not the be all and end all. Firstage has a philosophy at its core, to provide the means for music to help itself so musicians can continue to do what they do best.

More Here

September 20 2017

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Material: headphone, loupe, video camera, gas mask, battery.

Photo(1) hair design:Soichiro Uchida   make-up:Akiko Fukue   props design:Hiroto Ikeuchi   photo:Yusuke Matsuyama

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In-development app from URCV turns an ARKit-enabled iPhone into a 3D scanner:

StructurePro combines the rich sensor data available from Apple’s ARKit with the 3d reconstruction capabilities of the industry leading mobile phone 3d reconstruction pipeline from URC Ventures.  StucturePro enables software companies to build applications that can be used by construction workers, building inspectors, or insurance claims adjusters to successfully model buildings from iPhone imagery.

… By integrating the advanced sensor data from ARKit, the URC Ventures image processing pipeline is now able to successfully handle the extreme rotations introduced by average end users, textureless surfaces such as large solid color walls, and repetitive structures such as ceiling tiles.

More Here

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iOS AR app by joshue ott is a simple drawing app to create marks in mid-air using your iPhone as brush:

3draw is an exciting art-creation app for all ages. It uses AR (Augmented Reality) to add dynamic, sculptural 3D elements to images captured in real time on your device. Brilliant ribbons of changing color sweep through space with your every gesture. Simply move your device through the air, and watch an ordinary street or living room become an interactive wonderland of your own invention!

3draw makes creative expression easy and fun for anyone. Unleash the artistic potential of ARKit and explore the possibilities. 


September 16 2017

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What We Once Were

Music video for track by Emmit Fenn put together by Patrick Jean has been mostly captured with a Microsoft Kinect depth camera:

WWOW is a collaboration with artist Emmit Fenn.
Most of it was short with a Kinect camera (the rest with a drone). It took two months to post-produce with home-made tools.
Full credits at the end of the video! 


September 15 2017

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5 Demos Where Code Meets Music

Latest Nat & Friends showcases a selection of web based experiments exploring sound and music (plus a couple of Google assistant easter eggs):

Music is a fun way to explore technologies like coding, VR, and machine learning. Here are a few musical demos and experiments that you can play with – created by musicians, coders, and some friends at Google.

More Here

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Project from Krzysztof Cybulski is hardware that samples and generates accompaniment to live musical performance with interesting results:

Feedboxes are sound toys that react to incoming sound in simple way, yet they behaviour may become quite complex.

Rhythm box plays semi-random beat, which complexity depend on the volume of incoming audio signal.
String box plays plucked or strummed chords (generated with Karplus-Strong synthesis) based on short, percussive sounds.
The boxes could be used together with any instrument, or they could create a feedback loop by listening and responding to each other, creating ever-changing rhythmic structures.

Feedboxes use PdDroidParty by Chris Mccormick (based on libpd library) to run Pure Data patches on Android devices.


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H A R V E S T 

Artwork by Julian Oliver employs wind energy to power a Bitcoin Miner, whose earnings go to fund climate research:

HARVEST is a work of critical engineering and computational climate art. It uses wind-energy to mine cryptocurrency, the earnings of which are used as a source of funding for climate-change research.

Taking the form of a 2m wind turbine with environmental sensors, weatherproof computer and 4G uplink, HARVEST ‘feeds’ from two primary symptoms of our changing climate: wind gusts and storms. It does this by transforming wind energy into the electricity required to meet the demanding task of mining cryptocurrency (here Zcash), a decentralised process where computers are financially rewarded for their work maintaining and verifying a public transaction ledger known as the blockchain.  Rather than filling the digital wallet of the artist, all rewards earned by the HARVEST mining machine are paid out as donations to non-profit climate change research organisations such that they can better study this planetary-scale challenge.

Acting as a fully functional prototype beyond a media-art context, it is envisaged hundreds of such HARVEST nodes could be deployed in the windiest parts of the world, together generating large sums of supplementary funding for climate-change NGOs in a time where climate science itself is under siege from the fossil-fuelled interests of goverments and corporations.

More Here

September 10 2017

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Cassies Take a Tour of Agility Robotics

Meet Cassie, a sleek bi-pedal robot made by Agility Robotics

Two Cassies decide to take a walking tour of our office. No CG: 100% actual robots.

More Here

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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.


September 09 2017

September 06 2017

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