https://cis.temple.edu/~pwang/NARS-Intro.html
NARS (Non-Axiomatic Reasoning System) is a project aimed at the building of a general-purpose intelligent system, i.e., a "thinking machine" (also known as " AGI "), that follows the same principles as the human mind, and can solve problems in various domains.
https://cis.temple.edu/~pwang/5603-AI/Project/2021S/Amend_Zach/Amend_Zach_FinalPresentation.pdf
Card Playing AI Bot Jack Amend and Cameron Zach CIS5603 Final Project Spring 2021
https://bulletin.temple.edu/undergraduate/courses/mis/
MIS 3536. Information Systems Innovation with AI. 3 Credit Hours. This course provides the knowledge and skills to leverage emerging and innovative information technology to create business opportunities for both new entrepreneurial ventures and traditional firms.
https://cis.temple.edu/~latecki/Courses/AI-Fall10/Lectures/ch8Bayes.ppt
COMP20411 Machine Learning * Outline Background Probability Basics Probabilistic Classification Naïve Bayes Example: Play Tennis Relevant Issues Conclusions COMP20411 Machine Learning * Background There are three methods to establish a classifier a) Model a classification rule directly Examples: k-NN, decision trees, perceptron, SVM b) Model the probability of class memberships given input ...
https://sites.temple.edu/turiskcommlab/projects/
Funder: 2022 Catalytic Collaborative Research Initiative Funding Program, Office of the Vice Provost for Research, Temple University PI: Sarah Bass, CO-Is: Heather Gardiner, Whitney Cabey This project studies COVID-19 booster hesitancy among fully vaccinated Philadelphians to create a targeted communication campaign and assess changes in attitudes toward booster shots.
https://cis.temple.edu/~pwang/2166-MC/2166-Syllabus.htm
Plagiarism will be handled with severe measures. Temple has established a blanket policy on the use of generative AI tools. For this course, the use of such tools is allowed, though should be acknowledged with other references. Students should be familiar with the Student Conduct Code of the university.
https://cis.temple.edu/~pwang/Publication/WHW-Realtime.pdf
Abstract. This paper compares the various conceptions of “real-time” in the context of AI, as different ways of taking the processing time into consideration when problems are solved. An architecture of real-time reasoning and learning is introduced, which is one aspect of the AGI system NARS. The basic idea is to form problem-solving processes flexibly and dynamically at run time by using ...
https://cis.temple.edu/~latecki/Courses/AI-Fall11/Lectures/ch7EL.ppt
* * * D(i) is weight for each training sample, which determines the probability of being selected for a training set for an individual component classifier. (Epislon ...
https://teaching.temple.edu/sites/teaching/files/media/document/Evaluating%20the%20Effectiveness%20of%20Turnitin%E2%80%99s%20AI%20Writing%20Indicator%20Model.pdf
Introduction: Turnitin recently developed what they call an “AI writing indicator model” that is intended to help instructors determine if a student has submitted work that is AI-generated. The model is integrated into Turnitin’s existing plagiarism detection software licensed at Temple, and is therefore convenient as it is already embedded in Canvas [1]. The process for using it is ...
https://dabi.temple.edu/slobodan-vucetic/
Profile Director, Center for Hybrid Intelligence (CHI) (former Center for Cognitive Computing) Professor, Department of Computer and Information Sciences (CIS) Temple University Address: 1925 N. 12th St., 314 SERCPhiladelphia, PA 19122-6094 Telephone: (215) 204-5535Fax: (215) 204-5082Email: vucetic@temple.eduOffice: 314 SERC Resume: View News (December 2020) Co-organizing a NAACL Workshop on ...