Google Faces is a an independent searching agent created in openFrameworks that hovers the world to spot all the faces that are hidden on earth. The applications searches through one satellite image after the other, in order to feed the face detection algorithm with landscape samples. Once the agent has completed the world search, it switches to the next zoom level and starts all over again.
Digital creative agency Playground knows that Glass is in its early days, but they imagine a future in which Glass helps with navigation, shopping, hobbies and much more. And according to Playground, “All of our examples are actually possible right now. Smartphones (batteries not included) have enough raw processing power to run this software today. If only current batteries were ten times more efficient and there was a robust native hardware API for Glass. Well, it’s coming. Sooner than we think.”
via the content brief
Interesting to get some concrete scenarios on possible uses of Google Glass.
It’s hard to remember life before we were bombarded with notifications throughout the day on all manner of devices, for everything from Twitter replies to earthquake alerts in Japan. With very few exceptions, though, these all have one limiting factor in common: you’re relying on someone else’s software to interpret data and relay it to you. What if you could program your own notifications from objects or conditions in your physical environment, set to tell you anything you want to know, when you need to know it?
That’s the proposition offered by Supermechanical’s Twine, a small turquoise box crammed with sensors. Launched on Kickstarter last year, it takes standard accelerometers, thermometers, and other sensors, and fits them into an ambitious package that promises to be a lot easier to set up than your average Arduino-powered DIY assembly. How does Twine work? Does it even work at all? Will it change your life? Let’s find out.
Mechanical installation from 2009 is a physical 1-bit glitch display - video embedded below:
BIT.CODE plays with the re-encoding of information and the recognizability of signs. It works with the infinite possibilities for combination of a finite number of bits, the smallest units of information.
The bits appear as black and white elements on the individual segments of the string. Each string is coded with the same bit pattern, which is reminiscent of Morse code. If the strings are moved in parallel, words seemingly appear (for a certain period of time) from ‘out of nowhere’ and disappear again. The perceived information causes a short opportunity for pause, a moment of serenity, of clarity – before the incessant flow of constellations, motions and changes starts anew.
After a week of teasing, Twitter has unveiled Twitter #Music, its new music discovery and streaming app. The new service is focusing on a recommendation engine that pulls in trending data from across Twitter and your followers to offer up music recommendations from the vast catalogs of iTunes, Spotify, and Rdio. The app will be available on iOS starting today, but there’s no Android app quite yet. However, everyone will be able to access Twitter #Music through the browser at music.twitter.com.
Création sur mesure de projection holographique à taille réelle ou augmentée pour des présentations scéniques de vos produits, les mises en perspective et valorisation de vos évènements promotionnels ou de vos productions de spectacles vivants.
La projection permet un mix du réel et du virtuel dans le même espace et même temps.
Tags: http://dlvr.it/3Ff387 via #LeCollagiste Channel
Google Glass specs confirm, App released.
Google have released the Android App for their upcoming Glass device, and confirmed the specs on their website. As rumored, the device won’t have a traditional speaker for audio playback, instead using a bone conduction transducer. Battery life is said to last ‘one full day of typical use’.
The full specs:
Google bought DNNresearch Inc, a 2012 startup to improve imagery recognition.
Voice and image recognition are hard enough tasks when computers are asked to make direct recognition decisions like “did the user just say ‘red’?” But as anyone who as interacted with Siri, a voice dictation service like those provided by Dragon or even an object-based recognition system like Google Goggles, computers find it very hard to perform context-based recognition such as deciding between “red” and “read,” or if the blurry object seen in a video is a indeed a human face. Google’s most likely going to leverage DNN’s research into services like Google Now, that already try to deliver data to a user based on contextual pointers, its Glass systems, which already include voice recognition, its purported Siri rival, and other efforts to categorize the world.
Source: Fast Company
That’s the way it is!
Twitter appears set to launch a music service although what it is is still under wraps. Yes, you can go to music.twitter.com (pictured above) but when you get there and try to sign in, nothing happens.
Via the BBC:
Reports suggest the new service will offer personalised recommendations on music through its own dedicated app.
US celebrity host Ryan Seacrest confirmed the existence of Twitter’s new app on Thursday via a tweet: “playing with @twitter’s new music app (yes it’s real!)… there’s a serious dance party happening at idol right now”
AllThingsD reports that the service will launch this weekend to coincide with the Coachella music festival.
Inspired by the nineteenth century mathematician Jules Lissajous who invented a device to visualize sound vibrations using two tuning forks and a beam of light reflected from one mirror to the next to a screen, Manuela and Luisa have re-created and extended this experiment using recent tools. An electronic version of the device replaces the tuning forks with microphones and speakers, allowing people to sing different musical intervals, and contrast the resulting figures with the more chaotic ones generated by percussive sounds.
Lockheed Martin bought a version of D-Wave’s quantum computer and plans to upgrade it to commercial scale.
“Quantum computing is so much faster than traditional computing because of the unusual properties of particles at the smallest level. Instead of the precision of ones and zeros that have been used to represent data since the earliest days of computers, quantum computing relies on the fact that subatomic particles inhabit a range of states. Different relationships among the particles may coexist, as well. Those probable states can be narrowed to determine an optimal outcome among a near-infinitude of possibilities, which allows certain types of problems to be solved rapidly.”