Mentor/s
Tina Romansky
Participation Type
Paper Talk
Abstract
The recent commercialization of affordable and simplified tools has brought artificial intelligence out of the movies and research labs and into our homes and classrooms. Using Alexa, Siri, and ChatGPT has been simplified for the masses, but the algorithms behind these applications are steeped in mathematics and computer science. This paper will focus on gradient descent, an example of an optimization algorithm. The foundation of the algorithm as well as its applications and limitations will be explored. Finally, we will present a classic example of the gradient descent algorithm. To further analyze the method, the algorithm has been implemented in code and studied for efficiency.
College and Major available
Mathematics
Location
Session 5: Digital Commons & Martire Room 217
Start Day/Time
4-25-2024 12:30 PM
End Day/Time
4-25-2024 1:45 PM
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Prize Categories
Best Multidisciplinary Research or Collaboration, Most Scholarly Impact or Potential, Most Creative
How Artificial Intelligence Works: Using the Gradient Descent Algorithm
Session 5: Digital Commons & Martire Room 217
The recent commercialization of affordable and simplified tools has brought artificial intelligence out of the movies and research labs and into our homes and classrooms. Using Alexa, Siri, and ChatGPT has been simplified for the masses, but the algorithms behind these applications are steeped in mathematics and computer science. This paper will focus on gradient descent, an example of an optimization algorithm. The foundation of the algorithm as well as its applications and limitations will be explored. Finally, we will present a classic example of the gradient descent algorithm. To further analyze the method, the algorithm has been implemented in code and studied for efficiency.
Students' Information
Rachel Glowniak - Mathematics Major, Honors student, Graduating May 2024