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

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 ...

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

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, ...

Diffusion models like OpenAI's DALL-E are becoming increasingly useful in helping brainstorm new designs. Humans can prompt ...

Madhura advocates for continuous learning, emphasizing that understanding AI's ethical implications, promoting explainable AI ...

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

Using machine learning and math, a BYU student improved a key tool firefighters rely on during wildfire season ...

LeetCode’s Java ecosystem is evolving beyond mere algorithmic correctness, with a growing emphasis on code quality metrics such as readability, maintainability, and performance profiling.

Allows you to deal with pointers and memory allocation/deallocation, so you feel the data structures and algorithms in your bones. In higher-level languages like Python or Java, these are hidden from ...