Art and Machine Learning Symposium
The Symposium is Completely Full but Exhibit is Open
For day two of DeepDream: The art of neural networks, Gray Area Foundation for the Arts and Research at Google are bringing you a day of open forums on machine learning and neural network based artworks. Registration for the symposium was free and is completely FULL!
The exhibition is on view for the symposium from 10AM-6PM, you can still RSVP for the exhibition only.
One day symposium to bring together the neural network and the creative coding communities. Exchange ideas, learn, and discuss.
- 10:00 - 10:30am
- Check in, coffee, meet other attendees
- 10:30 - 10:45am
- Introduction by Mike Tyka
- 10:45am - 12:15pm
- Session 1, 3 talks
- 12:15 - 1:30pm
- Venture out for Lunch
- 1:30 - 3:30pm
- Session 2, 4 talks
- 3:30 - 4:00pm
- 4:00 - 6:00pm
- Session 3, 4 talks
- Blaise Agüera y Arcas Google
- Douglas Eck, Google Brain
- Chris Olah, Google Brain
- Mike Tyka, Google, Cerebra
- David Pfau, DeepMind
- Dan Mané, Google Brain
- Leon Gatys, Center for Neuroscience: Tübingen
- Jim Fleming, Fomoro, San Francisco
- Refik Anadol, UCLA
- Fabienne Serriere, Artist, Seattle
- Zachary Desario, Google, San Francisco
- Ross Goodwin NYU ITP
Blaise Aguera y Arcas
Blaise Agüera y Arcas works on machine learning at Google. Previously a Distinguished Engineer at Microsoft, he has worked on augmented reality, mapping, wearable computing and natural user interfaces. He was the co-creator of Photosynth, software that assembles photos into 3D environments.
Mike Tyka studied Biochemistry and Biotechnology at the University of Bristol and went on to work as a research fellow at the University of Washington, studying the structure and dynamics of protein molecules. In 2009, Mike and a team of artists created Groovik’s Cube, a 35 feet tall, functional, multi-player Rubik’s cube. Since then, he co-founded ATLSpace, an artist studio in Seattle and has been creating metal and glass sculptures of protein molecules. In 2013 Mike went to Google to study neural networks, both artificial and natural. This work naturally spilled over to his artistic interests, exploring the possibilities of artificial neural networks for creating art.
Leon Gatys is a graduate student in the Bethge Lab and author of the “Neural Algorithm of Artistic Style". In his PhD project, Leon seeks to infer the neural organisation of visual perception from high-performing convolutional neural networks.
Douglas is a a research scientist working at the intersection of music and machine learning. Before coming to Google in 2010 he was an associate professor of computer science at Université de Montréal where he worked closely with the LISA machine learning lab, the BRAMS center for Brain Music and Sound and the CIRMMT group at McGill. He also worked with Ubisoft on video game player modeling.
Chris Olah is a wandering machine learning researcher, bouncing between groups. He was a Thiel Fellowship recipient and has worked with Good Research and Xelerance.
David is an artificial intelligence researcher at Google DeepMind, where he studies unsupervised learning and creative uses for neural networks that subvert the human visual system. He has a PhD in theoretical neuroscience from Columbia University, where he focused on applications of machine learning to decoding the brain.
Dan has a degree from the University of Chicago and is currently a software engineer at Google.
Jim is the founder of Fomoro, easy training for deep learning models. He has a background in software engineering and independent game development.
Refik Anadol is a media artist and director born in Istanbul, Turkey in 1985. Refik currently lives and works in Los Angeles, California. He is a lecturer in UCLA’s Department of Design Media Arts.
Fabienne splits her time between hardware hacking, future fabric prototyping, interactive furniture design, photography, obsessing about prime numbers, and adding to her vintage and modern gadget collections.
Zack is a psychology degree holding, graphic designing, online poker professional, data designer. Recently, he has been exploring new exploratory data softwares and technologies.
Ross Goodwin is a creative technologist, artist, language hacker, data scientist, current graduate student at NYU ITP, and former Obama administration ghostwriter. His work employs machine learning, natural language processing, and other computational tools to realize new forms and interfaces for textual expression.