TMU’s Artificial Intelligence (AI) emphasis is offered as an undergraduate degree option in the Engineering & Computer Science department. As AI technologies develop at a rapid pace, they are becoming an increasingly common presence across industries.
Through studying leading-edge fields such as computer vision, natural language, and machine learning, our students explore the brilliant designs of our Creator evident in the human brain, equipping them to reflect these designs when they build AI systems. Since they are patterned after the brain, AI are some of the most sophisticated systems humans have ever designed—and yet they are based on elegant and simple concepts, which means that the fundamentals are approachable for undergrad students.
If you’ve ever said “Hey Siri” or “OK, Google,” you’ve used one of the most popular speech recognition applications of natural language processing. Speech recognition applications are rapidly transforming the health care industry, especially when it comes to medical documentation, and they have also been adopted for military use, computer games, disability services, aerospace projects, home automation, robotics, and much more. Speech recognition, however, is just a small segment of natural language processing. By merging artificial intelligence, computer systems, and linguistics, this rapidly evolving subfield is transforming the way we live and interact.
Your e-mail spam filter is one of the most common examples of machine learning. Your e-mail client is programmed to learn from your behavior (and the behavior of millions of other users), combined with security software that “learns” what is and isn’t spam or malware. You’ve also likely experienced product recommendations on platforms like Netflix and Amazon, fraud detection through payment services like Paypal, and traffic predictions using Waze or Google Maps. In essence, these computer algorithms are designed to improve automatically as they are used. This raises fascinating questions, including ethical questions like, “Can machines be biased?” Students will explore related topics such as deep learning, data mining, statistics, and optimization.
Self-driving cars, face recognition, mammography exams, real-time sports tracking, and camera-based translation apps—these all use computer vision, a fascinating subfield of artificial intelligence. Students learn how computer systems can interpret images and videos, then automate tasks based on that understanding. The applications of computer vision are numerous and exciting, especially in industries like medicine, manufacturing, and defense.
