The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

Mastering programming languages like Python and understanding machine learning fundamentals is essential.Building real-world ...

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

LeetCode isn’t a sprint; it’s a marathon. You won’t become a coding master overnight. It takes time, effort, and, most ...

Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, ...

Unstructured data is messy, scattered, and multimodal — making it hard to manage and essential to control for successful ...

To better understand human cognition, scientists trained a large language model on 10 million psychology experiment questions ...

In head-to-head tests, Microsoft’s virtual medical council diagnosed correctly four times more often than human doctors, and ...

There comes a time in any software developer’s life when they look at their achievements, the lines of code written and the ...

There’s a lot that AI can’t do, but hype and misinformation are driving prospective students away from Computer Science.

Data scientists are the key to realizing the opportunities presented by big data. They bring structure to it, find compelling patterns in it, and advise executives on the implications for products ...