A Simple Differentiable Programming Language

Summary

Presenter: Gordon Plotkin Presented at POPL'2020. Behind Every Great Deep Learning Framework Is An Even Greater Want to train programs to optimize themselves? In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. For more information about Stanford's Artificial Intelligence professional and graduate programs visit: stanford.io/ai ... Derivatives are at the heart of scientific This is +30db Volume Up version of the original video by the follwing mpeg command: - ffmpeg -i inputfile -vcodec copy -af ... SRC finalist talk by Christopher Lam (Cornell University) According to Max Haughton, the calculation of gradients is a way to understand the universe. For the entire history of computing, ... Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large ... Video from Compiler Research / IRIS-HEP Mini-Workshop: SRC lightning talk by Christopher Lam (Cornell University)