ACM SIGGRAPH has posted the video of my April 12 talk about our team’s work on believable acting for autonomous animated characters. This was a really fun one to do. Most conferences limit you to 25 minutes for technical talks, but we’ve always had a lot more material than that! The San Francisco SIGGRAPH chapter’s talk format is comfortably open-ended, so I was able to spend a full hour and go a lot deeper without rushing through it, and still leave plenty of time for Q&A.
Huge thanks to Henry LaBounta and the SF SIGGRAPH organizers for inviting me, and to the audience for showing up and asking such thoughtful and interesting questions!
A few days ago the image above started going around the social networks, attributed to “a friend working on AI”. Apparently a deliberate leak, now we know where it came from: a research group at Google working on neural networks for image recognition. Their research is worth reading about, and the images are fascinating: Inceptionism.
I have to admit, machine learning makes me jealous. Why does the machine get to do the learning? Why can’t I do the learning? But projects like this make me feel a little better. When the black box opens and we see the writhing mass inside, we get to learn how the machine does the learning. Everyone wins.
And the machines still have some catching up to do. As soon as I saw the amazing gallery of inceptionist images, I recognized the “inceptionist style” from the mysterious grey squirrel. Could a neural network do that?
Cassidy Curtis's splendid display of colorful things.
