I’ve been more interested in the intersection of hardware/software, specifically as it relates to the future of ML. This is a really cool paper taking a birds-eye perspective of the question “How do limitations in hardware direct and shape research topics in Machine Learning?”.
What have I been up to
I recently attended a talk about Quantum Computing at work, which sparked off a reading spree. I understand about 2% of this paper, so any advice/suggestions are welcome!
Due to “popular” demand, I decided to compile the various mailing lists and resources I have been given and/or found over the past 2 years in a single blog post.
Recently I started reading the Dive into Deep Learning textbook. I am going to collect and publish my chapter by chapter notes on this site in an attempt to keep myself accountable.
I’m part of Freetail Hackers at the University of Texas at Austin. As a student-run organization, we aim to host and organize hackathons at UT, and compete in hackathons around the country.
SIM Lab work
Hi! My name is Kush Desai and I am a computer engineering student at the University of Texas at Austin. I’m creating this blog with the goal of maintaining a running log of the work that I do.