Artificial intelligence (AI) is gaining increasing attention in mathematics and science. While AI has shown significant potential, such as solving mathematical problems in milliseconds compared to hours using traditional algorithms, it remains far from being safe, stable, and fully controllable. This leaves ample room for further study and improvement. This project focuses on applying AI to solve a specific mathematical problem: quadratic programming (QP), which has broad applications in industry, finance, and scientific computing. The goal is to develop fast and stable QP solvers using AI tools. The project will run from January 6, 2025, to April 25, 2025, with a weekly time commitment of 10 hours.
Project Dates
Start Date: 1/6/2025 - End Date: 4/25/2025
Students Needed
Type of Project
Team
Student Responsibilities
Time Commitment
10 hour(s)
Student Requirements
- Programming language: Python - Mathematical background: Linear algebra, calculus - Machine learning: Basic machine learning concepts such as models, data, training, and overfitting. [Preferred skills] - Completion of coursework related to optimization or mathematical programming - Experience with deep learning frameworks like PyTorch
Interested in Working With the Following Programs
For EXCEL URE Students Only
Additional Notes