Angus Forbes will discuss recent trends in the field of Creative AI and survey applications of machine learning for computer graphics. He’ll also present an overview of Deep Illumination, a technique to approximate global illumination for real-time rendering using a conditional generative adversarial network (cGAN).

Angus Forbes is an assistant professor in the Computational Media department at UC Santa Cruz, where he directs the UCSC Creative Coding research lab.

More information about his work can be found at https://creativecoding.soe.ucsc.edu or http://angusforbes.com.

12-1pm in E2-215

David Parks will present on “Model compression techniques & CNN model architecture advances”.

Here is his description:

At next week’s SCML meeting I will be presenting primarily on model compression techniques, focused in detail on quantization / binarization, otherwise known as: How to run large neural network models in the real world – on devices with limited compute, memory, and power (such as mobile devices, raspberry pies, low power accelerators, etc).

To introduce the topic, I will also be covering some of the recent advances in model architecture design used in convolutional neural networks which haven’t been discussed previously.