Can computer systems mirror human intelligence?
Since the founding of the Intelligent Systems Program in 1986, faculty at SCI have been working to answer this question. With discussions around AI now taking center stage in the media and online, SCI continues to push forward in this field.
Within the field of AI, SCI faculty conduct research related to machine learning and natural language processing (NLP). Machine learning focuses on enabling computer systems to imitate the way people learn, while NLP uses machine learning to enable computer systems to understand and communicate with human language.
Research Highlights
“To try something new” is how undergraduate student César Guerra-Solano (SCI ‘26) defines the word ‘innovate’. For him, innovation isn’t necessarily confined to a classroom or lab, rather a mindset he implements in all aspects of his lifestyle, especially research.
Researchers like Na Du, an Assistant Professor with the Department of Informatics and Networked Systems at SCI, are working to make human-tech collaborations smarter and more seamless by designing technology that strengthens the gaps in team environments through situationally aware technology.
Imagine adjusting your earphones’ volume with no buttons or screens, but a simple wave of your hand. Yongjie Yang, a PhD student in computer science at the School of Computing and Information (SCI), made this futuristic vision a reality.
