First Underwater Entanglement Could Lead To Unhackable Comms: A Team Of Chinese Researchers Has, For

Alternative Neural Edit

Latest project from @mario-klingemann employs Neural Networks trained on a collection of archive footage to recreate videos using the dataset.

It is confirmed that no human intervention has occured in the processed output, and it is interesting where there are convincing connections between the two (and where there apparently are none):

Destiny Pictures, Alternative Neural Edit, Side by Side Version 

This movie has been automatically collaged by an neural algorithm using the movie that Donald Trump’s gave as a present to Kim Jong Un as the template, replacing all scenes with visually similar scenes from public domain movies found in the internet archive. 

Neural Remake of “Take On Me” by A-Ha

An AI automatically detects the scenes in the source video clip and then replaces them with similar looking archival footage. The process is fully automatic, there are no manual edits.

Neural Reinterpretation of “Sabotage” by the Beastie Boys

An AI automatically detects the scenes in the source video clip and then replaces them with similar looking archival footage.

There are other video examples at Mario’s YouTube page (but some may not be viewable due to music copyright.

If you follow Mario’s Twitter timeline, you can get updated with the latest examples, and follow the evolution of the project [link]

9 massive banks just teamed up to take the technology behind bitcoin mainstream

Nine of the world's top banks have formed a partnership with New York startup R3 to develop the "fabric" of blockchain in banking.

Yep. That was quick. In a certain way.

Just a reminder for the community!

Run a Bitcoin Core 0.14.1 FullNode and support SegWit!

Support my electricity bill if you like: Bitcoin: 1FSZytTNZNqs69mSh5grU73DmrPVtBkz7m

Things auto-tagged ‘Jungle Gym’ on Flickr

Flickr has introduced auto-tagging, aided by Machine Learning (I checked that it is with ML and found this Yahoo machine learning presentation). The user response has been quite negative so far, this Flickr forum post has a lot of angry pro users having to correct thousands of photographs for inexact tagging. Flickr openly say they want people to correct their tags because that will further help train their ML algorithms. 

Alex Hern of the Guardian wrote about some contentious cases such as when people have been auto-tagged ‘ape’ and when concentration camps get tagged ‘sport’ and ‘jungle gym’. In isolation these cases seem really outrageous so I did a search for ‘jungle gym’ and found many false positives, painting a much more systemic problem; it seems Flickr’s strategy is to auto-tag as much as possible, forcing their users, often not bothered about tags, to respond by curating a better set of tags for each image. So the bigger strategy seems to pitch machine learning against human labour in an attempt to make their algos smarter and their image service perfectly tagged. 

Augmented Reality’s A-ha Moment

ARKit proof-of-concept demo from Trixi Studios applies an Augmented Reality portal with a ‘Take On Me’ music video drawing filter effect through an iOS device camera:

Link

Jeff Chang

Designer and artist is experimenting with ARKit to place and control cute characters he has created and place them in realworld scenes:

A post shared by Jeff Chang (@jeffchangart) on Aug 28, 2017 at 8:03am PDT

A post shared by Jeff Chang (@jeffchangart) on Sep 11, 2017 at 6:03pm PDT

A post shared by Jeff Chang (@jeffchangart) on Sep 12, 2017 at 6:08pm PDT

A post shared by Jeff Chang (@jeffchangart) on Sep 13, 2017 at 6:15pm PDT

Jeff has a Tumblr account [@jeffchangart] but you can find updates on Instagram here

Japan just sent the Int-Ball, a photo and video drone, to the International Space Station. Its mission is to document the astronauts. Previously, astronauts spent 10% of their time doing photo and video documentation. Int-Ball’s footage can be seen in real time.

follow @the-future-now

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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