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Faculty | Department of Computer & Information Sciences | College of ...

https://cis.temple.edu/people/faculty/

Specializations The Web & Information Retrieval Natural Language and Processing Databases

Jason Bennett Thatcher - Jason Bennett Thatcher - Temple University

https://community.mis.temple.edu/jasonbennettthatcher/2021/03/16/strategic-directions-for-ai-the-role-of-cios-and-boards-of-directors/

We tested our model using a dataset drawn from 1,454 publicly listed firms in China. Our findings show that the presence of a CIO positively influences AI orientation and that board educational diversity, R&D experience, and AI experience positively moderate the CIO’s effect on AI orientation.

CIS587: The RETE Algorithm - Temple University

https://cis.temple.edu/~giorgio/cis587/readings/rete.html

The Rete Algorithm The Rete algorithm uses a rooted acyclic directed graph, the Rete, where the nodes, with the exception of the root, represent patterns, and paths from the root to the leaves represent left-hand sides of rules. At each node is stored information about the facts satisfied by the patterns of the nodes in the paths from the root up to and including this node. This information is ...

A PATH TOWARDS AUTONOMOUS MACHINE INTELLIGENCE

https://cis.temple.edu/tagit/presentations/A%20Path%20Towards%20Autonomous%20Machine%20Intelligence.pdf

Topic This is a position paper expressing the vision for a path towards intelligent machines that learn more like animals and humans, that can reason and plan, and whose behavior is driven by intrinsic objectives, rather than by hard-wired programs, external supervision, or external rewards.

Dr. Jie Wu - 2025 Publications

https://cis.temple.edu/~jiewu/research/publications/Publications_2025.html

2025 Publications (Jie Wu) Journal Publications W. Jiang, S. Li, X. Li, K. Li, and J. Wu, " Uncovering Recommendation Serendipity with Objective Data-driven Factor Investigation," accepted to appear in ACM Transactions on Information Systems (TOIS). Z. Yao, L. Lin, F. Xia, and J. Wu, " Load Balancing Heterogeneous Multipath Authentication Routing Selection for Endogenous Software-Defined ...

Team | RoboSNAP - Sites

https://sites.temple.edu/robosnap/team/

Slobodan Vucetic interested in solving real-life knowledge discovery problems through development of novel machine learning algorithms. He also interested in building software that has intelligent behavior and can enhance human capabilities. Slobodan’s research is driven by open data science problems in a wide array of disciplines such as Public Health, Medicine, Biology, Geosciences ...

FedCPD: Personalized Federated Learning with Prototype-Enhanced ...

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 ...

FedRAMP-SSP-Low-Baseline-Template-4完整版(1)

https://community.mis.temple.edu/mis5214sec951spring2025/files/2025/03/baosiqi_142767_7830709_Team3-SSP.pdf

FEDRAMP SYSTEM SECURITY PLAN (SSP) LOW BASELINE TEMPLATE Cloud Service Provider Name

CIS587: The RETE Algorithm - Temple University

https://cis.temple.edu/~ingargio/cis587/readings/rete.html

The Rete Algorithm The Rete algorithm uses a rooted acyclic directed graph, the Rete, where the nodes, with the exception of the root, represent patterns, and paths from the root to the leaves represent left-hand sides of rules. At each node is stored information about the facts satisfied by the patterns of the nodes in the paths from the root up to and including this node. This information is ...

An Architecture for Real-time Reasoning and Learning

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 ...