https://events.temple.edu/working-with-ai-chatbots-1
Curious about how chatbots and other AI tools can support you in your studies and your work? Wondering what chatbots do well and what they don’t do well? Join us for an overview of the promise and pitfalls of AI chatbots. This technology is evolving quickly and has the potential to fundamentally alter our relationship to information. We'll explore how some of the current tools can expedite ...
https://chi.temple.edu/gao
Temple University's Center for Hybrid IntelligenceDr. Gao’s research interests lie in the intersection of machine learning and optimization, as well as their applications in practical data science problems. In particular, his research studies how to build effective machine learning models to deal with the intrinsic structures in the data, how to incorporate the domain knowledge into machine ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICC2024.pdf
Abstract—Most intrusion detection systems (IDS) are vul-nerable to novel attacks and struggle to maintain a balance between high accuracy and a low false positive rate. Furthermore, the relevant features of Distributed Denial of Service (DDoS) attacks in conventional networks may not necessarily apply to the Software-defined network (SDN) environment. Additionally, weak feature selection ...
https://community.mis.temple.edu/ziyizhao/
Her research focuses on AI and the Future of Collaborative Innovation, including AI (Artificial Intelligence), DI (Digital Innovation, Transformation & Entrepreneurship), and SI (Social Impact of AI and DI). She uses mixed methods (econometrics, experiments, machine learning, type-aloud, etc.).
https://www.fox.temple.edu/directory/konstantin-bauman-tuh42084
Biography Dr. Konstantin Bauman joined the Fox School on a tenure track appointment within the Department of Management Information Systems on January 1, 2018. He arrives at Fox from the Stern School of Business at New York University, where he served as a postdoctoral research fellow. Bauman’s research interests lie in the areas of technical information systems, with focus on the fields of ...
https://cis.temple.edu/tagit/events/workshop2025/NARS_files/docs/GeneticNARSAGI25.pptx
the system’s memory; concepts, beliefs, goals, questions, etc. This level is acquired by the system’s experience, and can change during the system’s lifetime.
https://cis.temple.edu/~pwang/5603-AI/5603-Syllabus.htm
Artificial intelligence encompasses the algorithms and representations used to design computers and agents for problem-solving and learning. This course covers the classic and modern methods that support technology such as game-playing agents, autonomous vehicles, and virtual assistants. The topics covered include: search, reasoning, knowledge representation, and learning. The course is ...
https://cis.temple.edu/~latecki/Courses/AI-Fall12/Lectures/RandomFields_Sarah.pdf
C. Sutton and A. McCallum, An Introduction to Conditional Random Fields for Relational Learning, MIT Press, 2006. D. Precup, Graphical Models, Probabilistic Reasoning in AI, McGill University, 2008. J. Cao and K.J. Worsley, Applications of Random Fields in Human Brain Mapping, American Mathematical Society, 1991.
https://sites.temple.edu/aspl/2024/08/16/dr-zhang-co-edits-a-book-on-information-theoretic-radar-signal-processing/
Dr. Zhang co-edited the book Information-Theoretic Radar Signal Processing with his former postdoctoral researcher, Dr. Yujie Gu, who is now a Senior Radar Scientist at Aptiv Advanced Engineering Center. The book is scheduled for publication by Wiley-IEEE Press in December 2024. Authored by leading experts in the field, including over a dozen IEEE Fellows, this book comprises 14 chapters that ...
https://listserv.temple.edu/
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