UAFS Artificial Intelligence Research Lab
About Our Lab
We continue to explore and investigate major challenges associated with the fields of artificial intelligence, machine learning, natural language processing, text mining, big data, computer vision, and more. Some of our areas of interest include open domain question answering, machine translation, sentiment analysis, automatic summarization, neural networks, and algorithms.
- Project VizFit: Visual FitnessObjective Our project sets out to solve three problems that modern fitness applications typically have. Firstly, our application will make fitness insightful. We will keep a variety of statistics for each user to provide invaluable information about their fitness goals and their rate of progression. This makes each user’s fitness journey highly personalized. The second…
- Project CombVCS: Combined Video Captioning and Search
- UAFS Computer Science Teams Present Capstone Projects Involving Computer Vision, Natural Language Processing, Information Retrieval, and Deep Learning
- Artificial Intelligence Lab Faculty Awarded Chancellor’s Grant for Advancing Data Science and Artificial Intelligence Research
- UAFS AI Lab Presents Spring 2022 Research Projects to University
- Lab Hosts Event Over Intelligence Augmentation FutureThe UAFS Artificial Intelligence Lab hosted a monthly meeting where faculty, members, and invited guests contemplated the future of intelligence augmentation and artificial intelligence. As the field of artificial intelligence continues to grow, numerous challenges remain unanswered, and the research lab seeks to explore some of these problems and formulate potential solutions. Individuals in the…
- Artificial Intelligence Lab Faculty Awarded Grant to Research Fake News and Disruptive ContentFaculty members from the Department of Computer Science and Engineering were awarded a research grant to explore the rapidly growing area of fake news and disruptive content. The rise and popularity of social media services have largely contributed to the spread of content that can be factually incorrect for a number of reasons, including comedic…
- Automating Fake News Detection using Deep LearningFake news is a widespread problem that affects people daily. The widespread adoption of social media facilitates the dissemination of articles with the intention to deceive readers. The goal of our work is to automatically detect fake news articles using deep learning while improving upon existing approaches. More information on this is coming soon.
- UAFS ParkBot: Automatic License Plate DetectionSeveral advancements in image processing research have greatly improved our ability to construct models capable of image recognition and classification with low latency. We built a prototype autonomous vehicle that is capable of automatically detecting license plates on campus using IoT sensors and hardware. More information on this is coming soon.
- Predicting the Winner of Fighting Game CompetitorsMachine learning and artificial intelligence provides a wide range of applications that can be observed in everyday tasks. Our lab investigated the application of machine learning algorithms to learning the patterns that determines the winner of competitive fighting games. More information on this is coming soon.