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. Derivatives are at the heart of scientific For more information about Stanford's Artificial Intelligence professional and graduate programs visit: stanford.io/ai ... According to Max Haughton, the calculation of gradients is a way to understand the universe. For the entire history of computing, ... SRC finalist talk by Christopher Lam (Cornell University) SRC lightning talk by Christopher Lam (Cornell University) This is +30db Volume Up version of the original video by the follwing mpeg command: - ffmpeg -i inputfile -vcodec copy -af ... Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large ... Yet another example from my demonstrative project on Video from Compiler Research / IRIS-HEP Mini-Workshop: