https://noncredit.temple.edu/public/category/courseCategoryCertificateProfile.do?method=load&certificateId=196883538
Explore what AI can do to reduce costs, gather more and better business data, automate time-consuming tasks, improve efficiency, lower human error, reallocate staff time for higher priority functions, and more. Then master the concepts and fundamental techniques of implementing AI.
https://www.tuj.ac.jp/about/faculty-staff/kwanjira-kaewfak
AI-based decision support systems for logistics and healthcare Data-driven modeling in energy demand and public health Applications of fuzzy logic, AHP, and multi-objective optimization Representative Publications Kaewfak, K., & Ammarapala, V. (2018). The decision making of freight routes in multimodal transportation.
https://guides.temple.edu/ai-research-tools
This guide offers advice on AI-powered tools and functionality created for or used in academic research.
https://cis.temple.edu/~pwang/Chinese.html
计算机不是只会 “计算”，图灵机也不是一台 “机器” 能否用数学确定美国大选是否舞弊？ AI是理性的，人类是非理性的，果真如此吗？ 深度剖析：ChatGPT 及其继任者会成为通用人工智能吗？ 大语言模型会推理吗？ 《赛先生》人工智能专栏（2015-08 至 2017-01）：
https://guides.temple.edu/ai-research-tools/chatbots
This guide offers advice on AI-powered tools and functionality created for or used in academic research.
https://www.fox.temple.edu/faculty-research/institutes-centers/global-institute-artificial-intelligence-business-analytics
Internally, AIBA will empower faculty and doctoral students with a library of cutting-edge AI/ML models and algorithms via hands-on coding exercises, real-world business problems, and top journal publication for higher research productivity and contributions to their respective disciplines.
https://www.templehealth.org/about/news/in-the-media/dr-jules-lipoff-pens-column-for-the-philadelphia-inquirer-about-how-ai-models-may-humanize-doctors
Jules Lipoff, MD, Adjunct Clinical Associate Professor of Dermatology at the Lewis Katz School of Medicine at Temple University, wrote a column for The Philadelphia Inquirer about how using AI judiciously may add to the doctor-patient experience.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedCPD.pdf
Both challenges pertain to optimizing personalized feder-ated learning, yet their solutions don’t cross-apply. Parame-ter decoupling protects local knowledge to prevent forgetting but falls short on sharing global insights, thus struggling with generalization. On the other hand, prototype learning curbs overfitting and boosts generalization by sharing class proto-types, yet it misses ...
https://cis.temple.edu/~pwang/AGI-Intro.html
To many AGI researchers, "AGI" is simply the original "AI", with the "G" added to differentiate it from the problem-specific works that have co-opted the "AI" label in an undesirable way.
https://cis.temple.edu/~giorgio/cis587/readings/id3-c45.html
You can run the C45 program here [you need to have an X-server and to allow access (xhost) from yoda.cis.temple.edu]. Classification Models in the Undergraduate AI Course It is easy to find implementations of ID3. For example, a Prolog program by Shoham and a nice Pail module. The software for C4.5 can be obtained with Quinlan's book.