Understanding AI

Thu Sep 5, 2019, 10:00 am - 8:00 pm
Fri Sep 6, 2019, 10:00 am - 8:00 pm
Sat Sep 7, 2019, 10:00 am - 8:00 pm
Sun Sep 8, 2019, 10:00 am - 8:00 pm
Mon Sep 9, 2019, 10:00 am - 6:00 pm
All times are given in Central European Summer Time (CEST / UTC +2).
Ars Electronica Center

Artificial intelligence versus natural intelligence – what are the differences and what do they have in common? How do machines “think,” how do they learn, and what distinguishes us humans from machines? Artificial intelligence in all its complexity is a central focus of the new Ars Electronica Center; after all, this technology is setting off a revolution that will affect our lives in ways that cannot be overestimated. Our goal with the exhibition “Understanding Artificial Intelligence” is to make our visitors “AI savvy” and give them all a basic idea of what artificial intelligence is, how it is already being applied, and what it can already do. The exhibition shows how neural networks are constructed and even offers visitors an opportunity to train them at a number of interactive stations.

Activation Atlas
Shan Carter, Zan Armstrong, Ludwig Schubert, Ian Johnson, Chris Olah

The Activation Atlas is a method for representing processes in an artificial neural network during image recognition.

Anatomy of an AI
Vladan Joler (RS), Kate Crawford (AU)

Anatomy of an AI uses the example of Amazon Echo to show the countless components and factors behind the production of artificial intelligence systems.

Artificial Senses
Kim Albrecht (DE)

In Artificial Senses, the unprocessed sensory data of the machines that surround us is given a live visualization.

Chinese AI News Anchor
Xinhua

In November 2018 China‘s state news agency, Xinhua, presented its first AI newsreader.

Computer Vision Fails

Machine-based image recognition and generation can already produce fantastic results, but machines cannot always handle data perfectly.

Ars Electronica Center's self-driving cars
Donkey Cars

Autonomous machines: Ars Electronica Center’s self-driving Donkey Cars can maneuver from A to B without human control.

Embedding Projector
TensorFlow

The Embedding Projector by TensorFlow shows a visualization of vector spaces.

EYES
Lucas Zanotto (IT)

EYES is series of experiments with kinetic sculptures.

face2face
Matthias Nießner (DE)

The TUM Visual Computing Lab by Matthias Nießner at the Technical University of Munich is experimenting with a face-transfer software in real time.

Forma Fluens
Mauro Martino

Forma Fluens (Latin for “flowing form”) shows an overlapping collection of drawings made by over a billion people.

GauGAN
NVIDIA – Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu

GauGAN is an application that is able to generate complex landscapes with only a few brushstrokes.

Gender Shades
Joy Buolamwini, Timnit Gebru

Joy Buolamwini and Timnit Gebru investigated into the bias of AI facial recognition programs.

Glow
Diederik P. Kingma, Prafulla Dhariwal; OpenAI

In this application, certain external features of people can be manipulated using a controller.

How Animals and People See the World Differently
National Geographic

The video by National Geographic explains how the eye has developed over the course of time, and takes on the question of how animals would be able to see the world.

Learning to See: Gloomy Sunday
Memo Akten (TR)

Learning to See is an ongoing series of works that use the latest machine learning algorithms to reflect on how we understand the world.

Keypoint Detection
Institute for Machine Learning, JKU Linz (AT)

Experience the performance of deep learning algorithms in a live environment.

MegaPixels
Adam Harvey (US), Jules LaPlace (US)

The project aims to provide a critical perspective on machine learning image datasets.

KI verstehen
Neural Network Training
Ars Electronica Futurelab (AT)

Train different Neural Networks and see how artificial intelligence behaves based on your input.

Nonfacial Portrait
Shinseungback Kimyonghun (KR)

Painters were invited and asked to create portrait paintings of a person that would not be recognised by facial recognition software.

Obama Deep Fake
Jordan Peele

Jordan Peele transferred his own facial movements to Obama’s facial characteristics using deep fake technology.

pinocchio
Ars Electronica Futurelab (AT)

Two industrial robot arms as puppet players. Via an app developed by the research unit “Creative Robotics” at the University of Art and Design Linz, visitors can control the two robotic arms with the smartphone and the puppets attached to them can be moved.

Pix2Pix: GANgadse
Ars Electronica Futurelab (AT)

With the pix2pix procedure, users can draw free sketches which are then turned into cat pictures by a conditional generative adversarial network (cGAN).

PixelPlayer
Computer Science and AI Lab, Department of Brain and Cognitive Science, MIT (US)

PixelPlayer is a system that learns to localize the sounds that correspond to individual image regions in videos.

Experimental Security Research of Tesla Autopilot
Tencent Keen Security Lab (CN)

Can the term “sensory deception” also be applied to computers? Video Experimental

ShadowGAN
Ars Electronica Futurelab (AT)

The ShadowGAN interprets mountains in everything it sees, even the human form.

Looking through the Eyes of a Tesla Driver Assistant
greentheonly, DamienXVI

Two hackers, known as greentheonly and DamienXVI, managed to get hold of a development version of Tesla’s autopilot hardware.

The Brain Dictionary
University of California (US)

Scientists at the University of California in Berkeley have created an interactive map that shows which brain areas react to hearing different words.

The Listening Machine
Institute of Computational Perception, JKU Linz (AT)

Can a machine “hear,” and can it “understand” what it hears?

This Person Doesn’t Exist
Tero Karras, Samuli Laine, Timo Aila

These people do not actually exist. They were generated entirely by a machine.

Vector Space: Prix Ars Electronica Universe
Ars Electronica Futurelab (AT)

All entries for the Prix Ars Electronica, a competition run by Ars Electronica, submitted since the Prix archive was established in 1987 are collected in this network.

Visualizing High-Dimensional Space
Experiments with Google

This video from Experiments with Google explains how a multidimensional vector space works in machine learning.

Volumetric Data Collector
Hyun Parke (KR/US), Jinoon Choi (KR), Sookyun Yang (KR)

Volumetric Data Collector is based on the idea of using a LiDAR sensor as an expanded sensory organ for the human body.

What a Ghost Dreams Of
h.o (INT)

What a Ghost Dreams Of grapples with a new “ghost” of our time: digital surveillance in our society.