This post is meant to be a personal story. What can we create in our future? I don't know, but it's never too late to start. The Future of AI Art is no longer a guessing game. I leave it to you to interpret the events of this story and draw your own conclusions about AI art.

Haggai Maron, Or Litany, Gal Chechik and Ethan Fetaya received an Outstanding Paper Award at ICML2020 for their work On Learning Sets of Symmetric Elements. Here, lead author Haggai tells us more about their research, how he goes about solving problems, and plans for future work in this area. We target learning problems in which the input is a set of images or other structured objects like graphs. The challenge here is building a learning model that does not pay attention to the order of the elements and at the same time respects their structure. For example: imagine you have several photos of a scene on your smartphone, and you want to select a single high-quality photo.

Maybe the biggest surprise of Google's hardware event today was the launch of Clips, a small stand-alone AI-driven camera that can capture up to three hours of video and images and then automatically select the best moments for you. I'm not sure how well Clips will do in the marketplace, but technically, it's a fascinating product. During my conversation with Clips product lead Juston Payne, he repeatedly stressed that Clips is not an accessory to the Pixel -- or anything else, really. "It's an accessory to anything, I'd say. A new type of camera and insofar as that any digital camera has become an accessory to a computer or a phone, so too with this," he said.