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First underwater entanglement could lead to unhackable comms: A team of Chinese researchers has, for the first time, transmitted quantum entangled particles of light through water – the first step in using lasers to send underwater messages that are impossible to intercept. http://ift.tt/2vnLups

I can not argue with that

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.

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StretchEBand

HCI research from Media Interaction Lab and Google is a proof of concept interface using elastic textiles which are simple to produce:

StretchEBand are stitch-based elastic sensors, which have the benefit of being manufacturable with textile craft tools that have been used in homes for centuries. We contribute to the understanding of stitch-based stretch sensors through four experiments and one user study that investigate conductive yarns from textile and technical perspectives, and analyze the impact of different stitch types and parameters. The insights informed our design of new stretch-based interaction techniques that emphasize eyes-free or causal interactions. We demonstrate with StretchEBand how soft, continuous sensors can be rapidly fabricated with different parameters and capabilities to support interaction with a wide range of performance requirements across wearables, mobile devices, clothing, furniture, and toys. 

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Furlexa

Project from Zach Levine modifies a Furby toy into an Amazon-powered home assistant with Alexa voice recognition:

I’m Sorry …

I thought I’d make Furby a little less annoying and give him an upgrade with a real brain. Step aside, Tin Man.

By combining a Raspberry Pi Zero W (a tiny computer), Amazon’s (mostly) open-source Alexa Voice Service software, and a few other electrical components, I converted my normal Furby into an Amazon Echo.

I give you: Furlexa.

It is my hope that you can either use this guide as a fun read or to build your own Furby Echo – I tried to write it in a style that any crowd would enjoy and I hope that I accomplished that goal.

More details on how to build your own can be found here

CAN 2017 – Highlights and Favourites

The always-fantastic Art & Tech resource Creative Applications have put together their list of highlights from the year:

As 2017 comes to a close, we take a moment to look back at the outstanding work done this year. From spectacular performances, large scale installations, devices and tools to the new virtual spaces for artistic exploration – so many great projects are being added to the CAN archive! Here are a just few, 25 in total, that we and you enjoyed the most this year.

Have a look for yourself here

Jelly Mario

Web demo by Stefan Hedman adds elastic physics to classic Super Mario level, currently in pre-alpha. You need a keyboard (play with arrow keys) - to start, move towards the right side of the screen:

[video from Robert McGregor]

Play around with it yourself here

#BlueOrigin test launch was a success! | Our audience: #djiphantom4 #djiglobal #uav #yuneec #hexacopter #djiinspire1 #quadcopter #miniquad #affiliatemarketing #robotics #robot #amazon #fpv #drones #aerialphotography #amazonprime #robots #djiphantom #arduino #drone #tesla #elonmusk #rcplane #spacex #sparkfun #nasa #raspberrypi #mavicpro #jeffbezos via @theofficialblueorigin (at Van Horn, Texas)

Hype Cycle : Machine Learning

Project from Universal Everything is a series of films exploring human-machine collaboration, here presenting performative dance with human and abstracted forms:

Hype Cycle ­is a series of futurist films exploring human-machine collaboration through performance and emerging technologies.

Machine Learning is the second set of films in the Hype Cycle series. It builds on the studio’s past experiments with motion studies, and asks: when will machines achieve human agility?

Set in a spacious, well-worn dance studio, a dancer teaches a series of robots how to move. As the robots’ abilities develop from shaky mimicry to composed mastery, a physical dialogue emerges between man and machine – mimicking, balancing, challenging, competing, outmanoeuvring.

Can the robot keep up with the dancer? At what point does the robot outperform the dancer? Would a robot ever perform just for pleasure? Does giving a machine a name give it a soul?

These human-machine interactions from Universal Everything are inspired by the Hype Cycle trend graphs produced by Gartner Research, a valiant attempt to predict future expectations and disillusionments as new technologies come to market.

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