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Admissions - Temple University

https://www.temple.edu/admissions

Questions? Feel free to call or email us with any questions you may have about Temple and our admissions process. You can also connect with Undergraduate Admissions through one of the forms linked below. Admissions Office Hours: Monday through Friday from 8:30 a.m. to 5 p.m. Phone: 215-204-7200 or toll-free at 888-340-2222 International students can contact international admissions staff by ...

Temple University, Center for Networked Computing

http://www.cnc.temple.edu/

The Center for Networked Computing (CNC), a university research center focused on network technology and its applications, was founded in 2010. Its missions are to advance the development of network technology and its applications by combining resource of government, industry, and academia and to train students who will be ready to join industry and academia. CNC is engaged in the following ...

Computer Science Minor | Temple University Bulletin

https://bulletin.temple.edu/undergraduate/science-technology/computer-science-minor/

Overview Having a Minor in Computer Science (CS) can enhance your employment opportunities. Offered by the Department of Computer and Information Sciences, the CS minor's coursework consists of three programming courses, one introductory theory course and one CS elective course. Prior to starting the CS minor's courses, students must take (or place out of) precalculus and an introductory ...

Community Gateway | Temple University

https://www.temple.edu/gateway

Our Mission The Temple University Community Gateway is a one-stop resource where members of our Philadelphia neighborhoods can receive assistance in connecting to the wide variety of services available through Temple and its community and government partners. Services for individuals, families and children include job training and placement, youth engagement, academic enrichment, and adult ...

Microsoft Word - Table_Berg Balance Scale.docx - Sites

https://sites.temple.edu/rtassessment/files/2018/10/Table_Berg-Balance-Scale.pdf

According to the Berg Balance Scale (BBS), client is a medium falls risk (overall score = 34)

TRIAL ADVOCACY BASICS – 3RD EDITION (NITA) - Advocacy and Evidence ...

https://law.temple.edu/aer/publication/trial-advocacy-basics-3rd-edition-nita/

March 16, 2022 In December 2016, when reviewing the second edition of BASIC TRIAL ADVOCACY, I wrote the following: NITA – the National Institute for Trial Advocacy – deserves great credit for providing [advocacy lessons] in a concise, reader-friendly form in TRIAL ADVOCACY BASICS (NITA, 2016) by Molly Townes O’Brien and Gary S. Gildin. BASICS is an effective resource, whether the reader ...

A Faculty Guide to A.I. - Center for the Advancement of Teaching

https://teaching.temple.edu/teaching-technologies/faculty-guide-ai

Generative AI (such as ChatGPT, Bard, Bing, Dall-E, etc.) is a type of artificial intelligence that has the capability to create surprisingly coherent text and images. They are large language models that can write and converse with users by drawing on an enormous corpus of text from a variety of sources—including books, web texts, Wikipedia, articles, internet forums, and more—on which ...

AGI Introduction - Temple University

https://cis.temple.edu/~pwang/AGI-Intro.html

Artificial General Intelligence — A gentle introduction Pei Wang [On-line document since 2007, last updated in August 2025] [中文] [Español] [This page contains information about the field of Artificial General Intelligence (AGI), collected and organized according to my judgment, though efforts are made to avoid personal biases.]

Zhanteng Xie, Pujie Xin, and Philip Dames - Sites

https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf

Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...

Distributed Deep Multi-Agent Reinforcement Learning for Cooperative ...

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 ...