https://cis.temple.edu/~wangp/5603-AI/Project/2022S/pattersonblaker/Ward_Patterson_Final_Report.pdf
1 Abstract Minecraft has been the focus of much AI research in past years. Most recently, interest has risen in procedural generation of settlements in Minecraft, largely due to a annual competition established in 2018 called the Generative Design in Minecraft Competition. Inspired by this recent research, we aim to develop a set of algorithms that are capable of building a realistic ...
https://www.fox.temple.edu/faculty-research/institutes-centers/innovation-entrepreneurship-institute/competitions/byobb
Submission Requirements The Be Your Own Boss Bowl® (BYOBB®) Competition started in 1997 at Temple University as the “Business Plan Competition,” and has since evolved into one of the nation’s most lucrative pitch competitions for aspiring entrepreneurs, with a total prize package including cash prizes and in-kind services awards worth over $100,000. The BYOBB® is open to all Temple ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/m37113-chen%20final.pdf
Abstract—Recent years have witnessed the unprecedented performance of convolutional networks in image super-resolution (SR). SR involves upscaling a single low-resolution image to meet application-specific image quality demands, making it vital for mobile devices. However, the excessive computational and memory requirements of SR tasks pose a challenge in mapping SR networks on a single ...
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/ticlj/files/2017/02/30.1.Crootof-TICLJ.pdf
it is grounded in the idea that all weaponry should be subject to ―meaningful human control.‖ This ―intuitively appealing‖ principle is immensely popular,
https://news.temple.edu/news/2022-11-11/breaking-down-hidden-messages-black-panther-wakanda-forever
Timothy Welbeck, associate professor of Africology and African American studies and the director for Temple University’s Center for Anti-Racism, breaks down the symbolism, themes and deeper meanings that can be found in the Black Panther sequel. He also shares what we can expect to see in the third Black Panther movie.
https://scholarshare.temple.edu/bitstreams/1c1f1a6d-0f34-4234-8b39-41d9eeb397f0/download
of machine learning (ML) versus a traditional statistical model in predicting dental caries in
https://www.fox.temple.edu/sites/fox/files/documents/CVs/xueming-luo-cv.pdf
He is an interdisciplinary thought-leader in leveraging AI/ML algorithms, text/audio/image/video big data, econometrical methods, and field experiments to model, explain, and optimize digital marketing, customer analytics, social media, influencer commerce, mobile targeting, company strategies, platform economy, and social-political activism.
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/Neural-Symbolic%20Computing%20An%20Effective%20Methodology%20for%20Principled%20Integration%20of%20Machine%20Learning%20and%20Reasoning.pdf
“Neural-symbolic computing aims at reconciling the dominating symbolic and connectionist paradigms of AI under a principled foundation. In neural-symbolic computing, knowledge is represented in symbolic form, whereas learning and reasoning are computed by a neural network.”