Assistant Professor Siddharth Deshpande and PhD student Snehitha Srirangam use data visualizations to reveal what happens on an atomic level when catalysts convert shale gas into polypropylene. The ...

So, you’re looking to get better at coding with Python, and maybe you’ve heard about LeetCode. It’s a pretty popular place to practice coding problems, especially if you’re aiming for tech jobs.

Abstract: Deep neural networks are highly vulnerable to adversarial examples, which are inputs with small, carefully crafted perturbations that cause misclassification—making adversarial attacks a ...

Abstract: We present a simple performance bound for the greedy scheme in string optimization problems. Our approach generalizes the family of greedy curvature bounds established by Conforti and ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community ...

I think there should be a description for the different algorithm activities. It's easy to forget what the previous step just talked about. They can all look around the same, too.

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