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Owl Byte – CIS Podcast

https://podcast.cis.temple.edu/

Interviews with information on industry job and academic research opportunities

Urban Bioethics (UBTH) | Temple University Bulletin

https://bulletin.temple.edu/graduate/courses/ubth/

UBTH 5082. Independent Study 1 (Professional Students). 3 Credit Hours. Working in conjunction with an advisor, students will craft and complete an independent study course on a topic or area of interest that is relevant to their professional development. This is the first of two independent study courses allowed for credit.

Osher Lifelong Learning Institute - Temple University

https://noncredit.temple.edu/olli

At the Osher Lifelong Learning Institute (OLLI) at Temple University, we offer a vibrant educational experience for individuals ages 50 years and older in Delaware Valley. Our program features a diverse range of in-person, online and hybrid courses, allowing you to shape your own learning journey while fostering meaningful social connections. Discover new interests, expand your knowledge and ...

Copyright for Musicians and Artists - Copyright: A Guide to the Law and ...

https://guides.temple.edu/copyright/Music_and_Art

This guide leads to resources that will help library users learn more about copyright and fair use and may therefore be of help in answering questions about using copyrighted content for teaching, research, learning, and more.

DSpace - scholarshare.temple.edu

https://scholarshare.temple.edu/bitstream/handle/20.500.12613/4727/LAURETTI_temple_0225E_14256.pdf;sequence=1

500 Service Unavailable The server is temporarily unable to service your request due to maintenance downtime or capacity problems. Please try again later. Take me to the home page

Futexes Are Tricky - Temple University

https://cis.temple.edu/~giorgio/cis307/readings/futex.pdf

1 Preface The base reference for futexes has been “Fuss, Futexes and Furwocks: Fast User Level Locking in Linux” writ-ten by Franke, Russell, and Kirkwood, released in the proceedings of the 2002 OLS [1]. This document is still mostly valid. But the kernel functionality got extended and generally improved. The biggest weakness, though, is the lack of instruction on how to use futexes ...

Health Insurance | Employee Health Services | Employee Health Services

https://employeehealth.temple.edu/employeehealth.temple.edu/about/health-insurance

Employee Health Services accepts most insurance plans. A Preferred Provider Organization (PPO) allows you to receive care from any provider without a referral in-network or out-of-network. A Health Maintenance Organization (HMO) is an organized system of healthcare that provides members with access to comprehensive medical services through a network of doctors and hospitals. One doctor, your ...

John Soss - Temple University

https://www.temple.edu/directory/john-soss-jsoss

Biography Dr. John Soss has over twenty years of distinguished experience in the practice and study of international capital markets. He leads the Fox Schools financial engineering program following a dynamic investment banking career in New York and London, including senior positions at S.G. Warburg and the Union Bank of Switzerland. Dr. Soss managed derivatives franchise business in North ...

PSFL: Parallel-Sequential Federated Learning with Convergence Guarantees

https://cis.temple.edu/~jiewu/research/publications/Publication_files/INFOCOM2024_PSFL%20Parallel-Sequential%20Federated%20Learning%20with%20Convergence%20Guarantees.pdf

Abstract—Federated Learning (FL) is a novel distributed learning paradigm which can coordinate multiple clients to jointly train a machine learning model by using their local data samples. Existing FL works can be roughly divided into two categories according to the modes of model training: Parallel FL (PFL) and Sequential FL (SFL). PFL can speed up each round of model training time through ...

Publications – Temple Robotics and Artificial Intelligence Laboratory

https://sites.temple.edu/trail/publications/

IEEE Robotics and Automation Letters, 1.1 (2016): 153-160. [PDF] [YouTube] [DOI] 2015 Jonas Cleveland, Dinesh Thakur, Philip Dames, Cody Phillips, Terry Kientz, Kostas Daniilidis, John Bergstrom, and Vijay Kumar. “An Automated System for Semantic Object Labeling with Soft Object Recognition and Dynamic Programming Segmentation.”