There’s been some interesting developments recently in adversarial training, but I thought it would probably be a good idea to first talk about what adversarial images are in the first place. This Medium article by @samim is an accessible explanation of what’s going on. It references this talk by Ian Goodfellow, asking if statistical models understand the world.
Machine learning can do amazing magical things, but the computer isn’t looking at things the same way that we do. One way to exploit that is by adding patterns that we can’t detect but that create enough of a difference in the data to completely fool the computer. Is it a dog or an ostrich?
There’s been quite a lot of research into finding ways round this problem as well as exploiting it to avoid facial recognition or other surveillance. And, like I said, there’s been some interesting recent developments that I hope to talk about here.
https://medium.com/@samim/adversarial-machines-998d8362e996#.n7j43766v
Class Zero
Tele-Present Water by David Bowen
I rarely use the phrase ‘mind blown’, but this is one of those rare occurrences.
An art installation which combines real-time data, mechanical puppetry, and a physical grid representation usually employed virtually with computers:
This installation draws information from the intensity and movement of the water in a remote location. Wave data is being collected in real-time from National Oceanic and Atmospheric Administration data buoy station 46246, 49.985 N 145.089 W (49°59'7" N 145°5'20" W) on the Pacific Ocean. The wave intensity and frequency is scaled and transferred to the mechanical grid structure resulting in a simulation of the physical effects caused by the movement of water from halfway around the world.
Link to the artist’s website for this work can be found here
SP. 114 - Ghost in the Shell (2017)
Repairing the robotic hand.
Machine Learning investigation from samim examines body language in video using recently released open-source code library OpenPose:
From Gene Kelly’s Step-Dance to Bruce Lee’s Kung-Fu — iconic movement has made history. Communicating through Body Language is an ancient art form, currently evolving in fascinating ways: Computationally detecting human body language is becoming effective and accessible. This experiment explores enabling technologies, applications & implications.
For over 20 years, Motion Capture has enabled us to record actions of humans and then use that information to animate a digital character or analyse poses. While movie makers and game developers embraced such technologies — it until recently required expensive equipment which captured only few aspects of the overall performance.
Today, a new generation of machine learning based systems is making it possible to detect human body language directly from images. A growing number of research papers and open-source libraries addresses key aspects: Body, Hand, Face, Gaze Tracking. Identity, Gender, Age, Emotion and Muscle strain Detection. Action Classification & Prediction. We now can…
More Here
Clara Mae’s brilliant thoughts on race, gender, and AI in film
Worked on the basics of a Real Time Strategy game prototype today, with selecting and commanding units, and worker units automatically searching for resources on the map, mining them, and returning to their base to store the resources gathered.
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Project from Convivial Studios and Pier 9 attach sensors to skateboards to capture movement data to create 3D printed sculptures:
The hidden science and art underlying skateboard tricks is a source of fascination. We created motion tracking device to get data about the skateboard position during the execution of tricks. The data and trails of the tricks are then used to create sculptures and immortalize the motion of the skateboard and the style of the individual skateboarder. Amongst the possible applications for this project, this work focused on creating artistic visualizations from skateboard tricks.
More info including links to tutorials can be found here
This nanochip reprograms cells to heal organs. The tissue nanotransfection device is a noninvasive nanochip that transports genes to cells through an electrical charge.
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Plus check out Glitch Black’s music on Bandcamp!
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