AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...

HARLINGEN, Texas (ValleyCentral) — During a Tuesday board meeting, the Harlingen Consolidated Independent School District ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold medal-level performance at the 2025 IMO, IOI, and ICPC World Finals. Nvidia has ...

This course is part of the Microsoft Professional Program Certificate in Data Science and the Microsoft Professional Program in Artificial Intelligence. Want to study machine learning or artificial ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.

Abstract: Finding efficient solutions to hard combinatorial optimization problems is one of the prominent challenges of modern computing. The quest to improve those has been innovated by the advent of ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, and statistics. These provide the foundation for developing the needed ...

How to apply optimization techniques to phased-array designs. What is quadratic programming? Using optimization solvers in the design process. In a previous blog post, we discussed examples that show ...