AI 430 Current Topics in Artificial Intelligence

This course enables students to explore cutting edge AI research, AI trends and solutions, in depth, building on the concepts learned. As AI innovations continue to grow exponentially, topics covered include innovative NLP solutions, robotics, computer vision and ethical AI across industries such as ocean, agriculture, advanced manufacturing, digital technology, and computational genomics. Students research different approaches and create a functional product in an agile team focusing on solving a specific current or future problem.

Credits

5

Outcomes

1. This course will prepare students to:
2. Explain current AI research topics and their future applications.
3. Examine cutting edge AI research technologies and trends.
4. Examine the state of AI in verticals such as medicine, entertainment, transportation, cybersecurity, and home market/vital tasks.
5. Apply use cases from research findings and investigate AI solutions.
6. Analyze AI technological innovations and tools for future AI applications.
7. Design industry solution to address future AI applications and implement a prototype application using a cloud AI framework and services.