Grace Ann Lindgren | 2024 I.S. Symposium

Name: Grace Ann Lindgren
Title: Optimizing Neural Network Architecture in Artificial Intelligence
Major: Mathematics
Advisors: Colby Long; Qimin Huang (second reader)

The world is becoming extremely technologically advanced as a result of artificial intelligence. Most may know artificial intelligence as the intelligence behind our everyday technology, including cell phones, computers, and more. However, artificial intelligence is much more. One of the most important concepts within artificial intelligence is neural networking. Neural networks send information from an input, through a network of nodes, to an output. This thesis will follow neural networks and artificial intelligence through a description of their history and purpose. Additionally, the mathematics behind neural networks will be covered as well as optimization methods. An example of optimization will be incorporated through a neural network architecture problem resulting in upwards of 80% accuracy – with little complexity. Finally, the future of artificial intelligence will be touched on.

Posted in Symposium 2024 on April 24, 2024.