Abstract: Deep learning methods are achieving ever-increasing performance on many artificial intelligence tasks. A major limitation of deep models is that they are not amenable to interpretability.

2022 was a year both heartbreaking and hopeful, as the country felt the loosening of the grasp of COVID-19, while inflation ran rampant along with the tragic loss of too many innocent lives. This year ...

Abstract: As leveraging large-scale data analytics becomes the norm for many applications, platforms used to develop these capabilities have become increasingly important. In this work, we compare the ...

In a previous series of articles, I revisited Windows Subsystem for Linux (WSL) and found that it had matured a great deal since it first came out around five years ago. If you haven't installed it ...