The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating these networks can boost learning, according to a study published in the ...

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 ...

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...

Key Takeaways NASA relies on languages like Python, C++, and Julia for data analysis, simulations, and space ...

But for Javier Orman the transition from professional violinist to a machine learning engineer at LinkedIn was a surprisingly natural one. Growing up in Montevideo, Uruguay, Orman excelled at both ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

Adapted from Foundations of Logic and Mathematics: Applications to Science and Cryptography ℗♭ 2002 Birkhℓℓuser, this second edition provides a modern introduction to the foundations of logic, ...

This paper investigates a double-hierarchy hesitant fuzzy linguistic mathematical programming method to multiple attribute group decision making (MAGDM) problems, where the assessment values of ...

Become who you’re meant to be. While earning a B.S. in Mathematics and Data Science, you’ll learn the development of data mining tools—like algorithms and computer programs—to problem solve and ...

Through the course, participants will learn about Python, machine learning models, data processing, and interpretation, with a focus on practical use.

This project is aimed at implementing nonlinear programming algorithms as the (un-)constrained minimization problems with the focus on their numerical expression using various programming languages.