https://cis.temple.edu/~pwang/
Artificial Intelligence (AI): basic questions, A General Theory of Intelligence, materials in Chinese（中文资料） Artificial General Intelligence (AGI): introduction, journal, society, education Non-Axiomatic Reasoning System (NARS): introduction, open-source version, discussion group, course
https://www.fox.temple.edu/sites/fox/files/Frontiers-Machines-versus-Humans-The-Impact-of-Artificial-Intelligence-Chatbot-Disclosure-on-Customer-Purchases.pdf
The negative disclosure effect seems to be driven by a subjective human perception against machines, despite the objective competence of AI chatbots. Fortunately, such negative impact can be mitigated by a late disclosure timing strategy and customer prior AI experience.
https://teaching.temple.edu/sites/teaching/files/resource/pdf/Chat-GPT%20syllabus%20statement%20guidance.pdf
The use of generative AI tools (such as ChatGPT, DALL-E, etc.) are not permitted in this class; therefore, any use of AI tools for work in this class may be considered a violation of Temple University’s Academic Honesty policy and Student Conduct Code, since the work is not your own.
https://cis.temple.edu/~latecki/Papers/PAMI_Jan2013.pdf
We define the diffusion process on TPG as Xt AðtÞ 1⁄4 Ai: ð2Þ i1⁄40 Since the edge weights of TPG relate four tuples of original vertices, G contains high order information than the input graph. The higher order information is helpful for revealing the intrinsic relation between objects, which is obtained by the diffusion process on TPG.
https://cis.temple.edu/~giorgio/cis587/readings/rete.html
Then, for each rule Ri, if Ai,1 Ai,2 ... Ai,n are in order the alpha nodes of the rule, we construct two-input nodes, called Beta Nodes, Bi,2 Bi,3 ... Bi,n where Bi,2 has its left input from Ai,1 and its right input from Ai,2 Bi,j, for j greater than 2, has its left input from Bi,j-1 and its right input from Ai,j
https://www.fox.temple.edu/faculty-research/academic-areas/statistics-operations-and-data-science
The Department of Statistics, Operations, and Data Science (SODS) prepares students to become leaders who shape industry, government, nonprofits and academia. By combining cross-disciplinary expertise in statistics, operations and data science with innovative research, we deliver transformative educational programs that empower graduates to make data-driven decisions and solve real-world ...
https://community.mis.temple.edu/mis5206sec001fall2022/files/2022/08/Risk-IT-Framework-2nd-Edition_fmk_Eng_0620-1.pdf
Risk IT Task Force Steven Babb, CRISC, CGEIT, ITIL, MUFG Investor Services, United Kingdom Urs Fischer, CISA, CRISC, CPA (Swiss), UBS Business Solutions AG ...