Kamilov receives $20,000 gift from Google
The gift will fund developing Generative AI technology
Ulugbek Kamilov, associate professor of electrical & systems engineering and of computer science & engineering in the McKelvey School of Engineering, plans to work on innovative algorithms for computing solutions to imaging inverse problems using generative AI models with a $20,000 gift from Google.
Kamilov’s goal is to develop Generative AI technology that can be used to restore images from blurry or noisy to clean, which is of interest to Google.
“My team is specialized in the form of Gen AI technology called ‘scored-based models,’ where one trains a neural network to generate images by teaching it to gradually remove noise from them,” Kamilov said. “I have previously published a paper with Google in which we showed that one can build better Gen AI algorithms by considering a broader class of restoration operators than just denoisers. This project seeks to expand that collaboration.”
