Controlling the robot arm! I’m starting my artist residency at CMU. Frank-Ratchye STUDIO for Creative Inquiry. I’m working with their robot arm (pictured above), continuing my computational photography / machine perception work from my SIGGRAPH paper this past summer.
This Friday I’m speaking to the Electronic Media Studio: Introduction to Interactivitystudents at CMU.
I’ll give a talk followed by a workshop and demo exploring artistic applications of smart home technologies. Topics include wireless sensing, computer vision, and machine listening to create narratives of inhabited space. We consider the creative possibilities and personal consequences of life with ubiquitous sensing, perceiving machines.
The talk is titled “Machine as Metaphor: Creative Computing to Understand Ourselves”, and presents a series of digital arts projects exploring the creative use of computation to gain insight into the intimate conditions of the everyday.
A Machine For Living In is a digital media installation using smart technologies to explore the home as a site of intimate life. Incorporating video, sound, and sculpture, the project showcases machine observers and their memories of from within the artist’s home. Inspired by speculative science fiction and smart home technologies, this installation explores narratives of human-machine cohabitation. What emerges is a contemporary portrait of the everyday.
Exhibition: August 28 – October 13th, Monday-Friday, 9 am-5 pm.
I received the Best Art Paper award at SIGGRAPH 2017 for my paper with Mike McCrea. Check out that cool trophy! Thank you Ruth and all of the jurors, organizers, and presenters, it was a great program. #siggraph#siggraph2017#lightfield
I’m happy to have received an NVIDIA GPU Grant to sponsor my digital arts research.
My TITAN X Pascal arrived in the mail yesterday. This builds on work I started at DXARTS with light field imaging, structure from motion, and experiments with neural networks for face and speech recognition.
Now that I have the requisite NVIDIA hardware, I can start development with TensorFlow, Torch, etc.