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Everything to know about ‘College Football 25’ and Temple’s place in it

https://news.temple.edu/2024-07-19/everything-know-about-college-football-25-and-temple-s-place-it

On Friday, July 19, Temple Student Services hosted a launch party for EA Sports College Football 25 at the Howard Gittis Student Center and invited Temple football’s players and students to participate.

What Do You Mean by “AI”? - Temple University

https://cis.temple.edu/~pwang/Publication/AI_Definitions.pdf

The aim of this paper is to show that both above opinions are wrong. In the following, I will clarify various understandings of AI, analyze their relations, and evaluate their potentials. I will then argue for the necessity and possibility of giving “intelligence” a proper “working definition” for the need of AI research. For the field as a whole, multiple working definitions exist ...

Thinking about quantity: the intertwined development of spatial and ...

https://sites.temple.edu/newcombe/files/2013/06/Newcombe_et_al-2015-Wiley_Interdisciplinary_Reviews-_Cognitive_Science.pdf

Thinking about quantity: the intertwined development of spatial and numerical cognition Nora S. Newcombe,1 Susan C. Levine2and Kelly S. Mix3

How Online Communication Platforms Facilitated Human ... - Sites

https://sites.temple.edu/pcrs/2023/11/12/how-online-communication-platforms-facilitated-human-trafficking-and-rethinking-the-websites-as-hosts-theory/

By Aamy Kuldip (view PDF version) I. Introduction Human trafficking is a horrific crime that involves stealing one’s freedom for profit. [1] Victims of human trafficking may be tricked or forced into providing commercial sex or illegal labor, and are often left extremely traumatized. [2] Online communication platforms, such as Facebook, Twitter, and Craigslist, enable human trafficking ...

Microsoft Word - Gunderson et al (in press) - DP - Parent Praise.docx

https://sites.temple.edu/cognitionlearning/files/2017/08/Gunderson-et-al-in-press-DP-Parent-Praise.pdf

1 For consistency with prior work, we chose to restrict our sample to the N=53 parent-child dyads reported in Gunderson et al. (2013). This subsample included only dyads who had complete data for praise and motivational frameworks. However, we also repeated our main path analyses including all available data (i.e., N=60 parent-child dyads who had at least some data on dependent variables). The ...

Vibrational relaxation and Bloch--Redfield theory

https://ronlevygroup.cst.temple.edu/media/pdf/publications/1992.JourChemPhys.97.703-6.pdf

Bloch-Redfield theory2’,23,24 gives an approximate ev- olution equation for the density matrix of a system in in- teraction with a thermal bath. The equation in the inter- called the “hf” case, with the oscillator frequency dictated by the normal parameters (~~-673 cm-‘); and one, hereon the “lf” case, with the oscillator force constant

Characteristic Mapping for Ellipse Detection Acceleration

https://cis.temple.edu/~latecki/Papers/QiJia_Ellipse_IEEETIP_2023.pdf

Abstract—It is challenging to characterize the intrinsic geom-etry of high-degree algebraic curves with lower-degree algebraic curves. The reduction in the curve’s degree implies lower com-putation costs, which is crucial for various practical computer vision systems. In this paper, we develop a characteristic mapping (CM) to recursively degenerate 3n points on a planar curve of nth order ...

Untangling the controversy around critical race theory

https://news.temple.edu/news/2021-08-05/untangling-controversy-around-critical-race-theory

Temple University Associate Professor Charles A. Price discusses the history and purpose of critical race theory and how it has been politicized.

Bayesian Filtering for Location Estimation - Temple University

https://cis.temple.edu/~latecki/Courses/RobotFall07/PapersFall07/fox-ijrr-2003.pdf

a small part of the state space, and it chooses a large number of samples if the state un-certainty is high. Both the implementation and computation overhead of this approach are small. Extensive experiments using mobile robot localization as a test application show that our approach yields drastic improvements over particle filters with fixed sample set sizes and over a previously introduced ...

Three Fundamental Misconceptions of Artificial Intelligen

https://cis.temple.edu/~pwang/Publication/AI_Misconceptions.pdf

In the discussions on the limitation of Artificial Intelligence (AI), there are three major misconceptions, which identify an AI system with an ax-iomatic system, a Turing machine, and a system with a model-theoretic se-mantics, respectively. Though these three notions can be used to describe a computer system for certain purposes, they are not always the proper theoretical notions when an AI ...