https://www.fox.temple.edu/faculty-research/institutes-centers/innovation-entrepreneurship-institute/competitions/changemaker-challenge
The need to address global and social issues is becoming increasingly important. The Innovation & Entrepreneurship Institute at Temple University established the Changemaker Challenge to encourage the development and creation of social impact ideas and ventures with the aim of creating positive change in local communities and around the world. As part of Temple University’s Social Impact ...
https://www.fox.temple.edu/sites/fox/files/Frontiers-Machines-versus-Humans-The-Impact-of-Artificial-Intelligence-Chatbot-Disclosure-on-Customer-Purchases.pdf
Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases Xueming Luo,aSiliang Tong,aZheng Fang,bZhe Quc
https://cis.temple.edu/~yu/research/Icanhearyou-INFOCOM2023.pdf
Abstract—Recent literature advances motion sensors mounted on smartphones and AR/VR headsets to speech eavesdropping due to their sensitivity to subtle vibrations. The popularity of mo-tion sensors in earphones has fueled a rise in their sampling rate, which enables various enhanced features. This paper investigates a new threat of eavesdropping via motion sensors of earphones by developing ...
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/ticlj/files/2017/02/30.1.Scharre-TICLJ.pdf
Paul Scharre* Much of the debate on autonomous weapons presumes a choice between human versus autonomous decision-making over targeting and engagement decisions. In fact, in many situations, human-machine teaming in engagement decisions will not only be possible but preferable. Hybrid human-machine cognitive architectures will be able to leverage the precision and reliability of automation ...
https://sites.temple.edu/wise2022/files/2022/11/WISE-2022-Schedule-and-Program-11.24.22.pdf
December 14-16, 2022, Copenhagen Business School, Denmark Preliminary – Subject to Change
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf
Abstract—Edge caching is a promising approach to reduce duplicate content transmission in Internet-of-Vehicles (IoVs). Sev-eral Reinforcement Learning (RL) based edge caching methods have been proposed to improve the resource utilization and reduce the backhaul trafic load. However, they only obtain the local sub-optimal solution, as they neglect the influence from environments by other ...
https://community.mis.temple.edu/mis5206sec001fall2021/files/2017/08/ISACA_Risk-IT-Framework_fmk_Eng_0610.pdf
Disclaimer ISACA has designed and created The Risk IT Framework (the ‘Work’) primarily as an educational resource for chief information officers (CIOs), senior management and IT management. ISACA makes no claim that use of any of the Work will assure a successful outcome. The Work should not be considered inclusive of all proper information, procedures and tests or exclusive of other ...
https://www.fox.temple.edu/sites/fox/files/documents/Cummins%20Conference%202022/XiangHuBao-main-2022-03-23.pdf
The significant progress in information technologies promotes new venues in risk sharing and risk management practices (OECD, 2017). Just as peer-to-peer (P2P) lending platforms connected un-or under-financed borrowers to lenders, emerging fintech platforms can also be leveraged to reach traditionally un-insured or under-insured customers.2 This is exemplified by Xiang Hu Bao (XHB, meaning ...
https://cis.temple.edu/tagit/presentations/Sparks%20of%20AGI%20Early%20Experiments%20with%20GPT4.pdf
The authors' claims/conclusions GPT4 is part of a new cohort of LLMs that exhibit more general intelligence than previous AI models Beyond its mastery of language, GPT-4 can solve novel and difficult tasks that span mathematics, coding, vision, medicine, law, psychology and more, without needing any special prompting