Algorithms mirror flaws and fuel mistrust. Surveillance erodes privacy. Mindful choices, collective action—laws, literacy—can reclaim humanity.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...

Understanding data structures and algorithms is still super important for making software. They're like the foundation for writing code that's quick and scales well, which helps you build better apps.

Data Structures and Algorithms (DSA) are super important for computer science and coding. Knowing them lets you fix hard problems, do well in coding interviews, and create good software. YouTube has ...

Artificial intelligence has become a popular tool for job recruiters, in part because programmers can code applicant-screening algorithms to avoid any explicit discrimination in their decision-making ...

This innovative practice full paper describes how to integrate generative Artificial Intelligence (AI) with Data Structures and Algorithm Analysis (CS2) homework at Oklahoma State University. Data ...

In the context of distributed algorithms, dimensionality reduction leads to communication-efficient protocols, while in the context of data stream algorithms, it leads to memory-efficient algorithms.

The extensive adoption of cloud computing platforms in storing and processing data have brought forth a new age of efficiency in the way data is stored, processed and managed, requiring new data ...

Penn State Institute for Computational and Data Sciences co-hire and professor of mathematics in the Eberly College of Science and meteorology John Harlim uses his experience in applied mathematics ...