https://law.temple.edu/ilit/lethal-autonomous-weapon-systems-laws-accountability-collateral-damage-and-the-inadequacies-of-international-law/
History & Development of Autonomous Weapon Systems Fully autonomous weapon systems differ from traditional guided munitions, which are technically semi-autonomous weapons. Historically, many “fire and forget” weapons, such as certain types of guided missiles, delivered effects to human-identified targets using autonomous functions, but they at least include a “human in the loop.” As ...
https://www.fox.temple.edu/academics/fox-phd
The Fox PhD program trains outstanding scholars who advance the state of their fields through research and teaching. Prepare to lead field research and pursue life-long academic careers at prestigious research universities around the world. The PhD program at the Fox School is a full-time, five-year program for hard-working individuals with exceptional intellectual skills who aim to tackle ...
https://cis.temple.edu/tagit/
NEW June 27, 2025: IWSSL: Concept-Centered Knowledge Representation: A 'Middle-Out' Approach Fusing the Symbolic-Subsymbolic Divide NEW May 5, 2025: Experiments in Advancing the Evolution of Artificial Animals NEW April 19, 2025: Scientific Reports: A Brain-Inspired Sequence Learning Model Based on a Logic NEW March 29, 2025: AROB ...
https://community.mis.temple.edu/mis5203sec010spring2020/files/2019/02/MIS5203_Unit2_System-Development-Life-CycleA.pdf
Information System Development Lifecycle Methods Software development lifecycle (SDLC) models are formal management processes for guiding the development of information systems These include:
https://community.mis.temple.edu/mis5203sec001sec701sp2018/files/2018/01/5203_SD_4A_Project_Selection.pdf
Describe the three classes of Internet electronic commerce applications: business-to-consumer, business-to-employee, and business-to-business.
https://cis.temple.edu/~latecki/Courses/AI-Fall10/Lectures/ch8Bayes.ppt
COMP20411 Machine Learning * Outline Background Probability Basics Probabilistic Classification Naïve Bayes Example: Play Tennis Relevant Issues Conclusions COMP20411 Machine Learning * Background There are three methods to establish a classifier a) Model a classification rule directly Examples: k-NN, decision trees, perceptron, SVM b) Model the probability of class memberships given input ...
https://cis.temple.edu/~latecki/Courses/AI-Fall12/Lectures/NLDimRed.pdf
Linear Dimensionality Reduction: Based on a linear projection of the data
https://global.temple.edu/isss/faculty-staff-and-researchers/j-1-research-scholars-professor/prospective-j-1-exchange-visitors/h-1b-vs-j-1-status
The J-1 Exchange Visitor Program [Research Scholar or Professor categories] should be used to bring in individuals who will "promote interchange of persons, knowledge, and skills, and the interchange of developments in the field of education, the arts and sciences." While it is not explicitly stated in the regulations, it is understood that the only way there can be an "interchange of ...
https://cis.temple.edu/~wangp/1057-PC/Lecture/Ch01.htm
The translation from high-level languages and assembly languages into machine languages is accomplished by special programs: compilers, interpreters, and assemblers. A compiler translates a source program in a high-level language into an object program in the machine language. An interpreter interprets and executes a program in a high-level language line by line. An assembler translates a ...
https://sites.temple.edu/sserrano/files/2020/08/16-Explicit-Solution-to-Green-and-Ampt-Infiltration-Equation.pdf
Among the difficulties in the implementation of the Green and Ampt model are the accurate estimation of the time to ponding conditions (Mein and Larson 1973), and the fact that the Green and Ampt equation gives the cumulative infiltration implicitly in terms of time. To use the equation, the hydrologist must use iteration to calculate the time, t, for a selected value of the cumulative ...