Two of my Adobe colleagues (Aaron Hertzmann & Ryan Murdock) are among those set to discuss these new frontiers on Wednesday:

Can machines generate art like a human would? They already are. 

Join us on March 30th, at 9AM Pacific for a live chat about what’s on the frontier of machine learning and art. Our team of panelists will break down how text prompts in machine learning models can create artwork like a human might, and what it all means for the future of artistic expression. 

Bios:

Aaron Hertzmann

Aaron Hertzmann is a Principal Scientist at Adobe, Inc., and an Affiliate Professor at University of Washington. He received a BA in Computer Science and Art & Art History from Rice University in 1996, and a PhD in Computer Science from New York University in 2001. He was a professor at the University of Toronto for 10 years, and has worked at Pixar Animation Studios and Microsoft Research. He has published over 100 papers in computer graphics, computer vision, machine learning, robotics, human-computer interaction, perception, and art. He is an ACM Fellow and an IEEE Fellow.

Ryan Murdock

Ryan is a Machine Learning Engineer/Researcher at Adobe with a focus on multimodal image editing. He has been creating generative art using machine learning for years, but is most known for his recent work with CLIP for text-to-image systems. With a Bachelor’s in Psychology from the University of Utah, he is largely self-taught.