UAFS Artificial Intelligence Research Lab
About Our Lab
We continue to explore and investigate major challenges associated with the fields of artificial intelligence, data science, 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.
What we do
Our mission is to be a center of excellence in research, innovation, and teaching in artificial intelligence, computer vision, natural language processing, machine learning, and data science.
Latest News
- UAFS AI Lab Faculty Receive Grant for Advancing Artificial Intelligence and Autonomous Robotic Vehicles
- UAFS AI Lab Faculty Member Receives Top Paper Award at Research Conference
- Artificial Intelligence Lab Faculty Awarded Chancellor’s Grant for Advancing Data Science and Artificial Intelligence Research
- 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…
- 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.Â
- 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.
- 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…