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Efficient Convolutional Neural Networks for Image Processing Applications

Description: Modern machine learning techniques focus on extremely deep and multi-pathed networks, resulting in large memory and computational requirements. This thesis explores techniques for designing efficient convolutional networks including pixel shuffling, depthwise convolutions, and various activation fucntions. These techniques are then applied to two image processing domains: single-image super-resolution and image compression. The super-resolution model, TinyPSSR, is one-third the size of the next… more
Date: August 2022
Creator: Chiapputo, Nicholas J.
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
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[News Clip: Available land]

Description: Video footage from the KXAS-TV/NBC station in Fort Worth, Texas, to accompany a news story.
Date: December 13, 1983, 5:00 p.m.
Duration: 1 minute 54 seconds
Creator: KXAS-TV (Television station : Fort Worth, Tex.)
Item Type: Refine your search to only Video
Partner: UNT Libraries Special Collections
open access

Bot-teachers in hybrid massive open online courses (MOOCs): A post-humanist experience

Description: This article explores networked learning technologies and the development of Massive Online Open Courses (MOOCs). The study examines and explains hybrid MOOCs and focuses on the use of bot-teachers within a post-humanist perspective. The research findings reveal that, while the use of bot-teachers is beneficial in terms of facilitating and increasing discourse/interaction, it is ineffective in providing other components of teaching presence. Yet ultimately, learners' positive behaviors indicate… more
Date: July 20, 2018
Creator: Bozkurt, Aras; Kilgore, Whitney & Crosslin, Matt
Item Type: Refine your search to only Article
Partner: UNT College of Information
open access

Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success

Description: Article asserts that international students face unique challenges in pursuing higher education in a foreign country. To address these challenges and enhance their academic experience, higher education institutions are increasingly exploring the use of artificial intelligence (AI) applications. The research paper explores various AI applications, such as personalized learning experiences, adaptive testing, predictive analytics, and chatbots for learning and research.
Date: May 31, 2023
Creator: Wang, Ting; Lund, Brady D.; Marengo, Agostino; Pagano, Alessandro; Mannuru, Nishith Reddy; Teel, Zoë A. et al.
Item Type: Refine your search to only Article
Partner: UNT College of Information
open access

Real-Time Finger Spelling American Sign Language Recognition Using Deep Convolutional Neural Networks

Description: This thesis presents design and development of a gesture recognition system to recognize finger spelling American Sign Language hand gestures. We developed this solution using the latest deep learning technique called convolutional neural networks. This system uses blink detection to initiate the recognition process, Convex Hull-based hand segmentation with adaptive skin color filtering to segment hand region, and a convolutional neural network to perform gesture recognition. An ensemble of fou… more
Date: December 2018
Creator: Viswavarapu, Lokesh Kumar
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

AI, Arts & Design: Questioning Learning Machines

Description: Article is an introduction to Artnodes issue No. 26, “AI, Arts & Design: Questioning Learning Machines" which addresses the question: Does generative and machine creativity in the arts and design represent an evolution of “artistic intelligence,” or is it a metamorphosis of creative practice yielding fundamentally distinct forms and modes of authorship?
Date: July 2020
Creator: West, Ruth & Burbano, Andres
Item Type: Refine your search to only Article
Partner: UNT College of Visual Arts + Design
open access

XML-Based Agent Scripts and Inference Mechanisms

Description: Natural language understanding has been a persistent challenge to researchers in various computer science fields, in a number of applications ranging from user support systems to entertainment and online teaching. A long term goal of the Artificial Intelligence field is to implement mechanisms that enable computers to emulate human dialogue. The recently developed ALICEbots, virtual agents with underlying AIML scripts, by A.L.I.C.E. foundation, use AIML scripts - a subset of XML - as the underl… more
Date: August 2003
Creator: Sun, Guili
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Traditional and Deep Learning Approaches to Color Image Compression and Pattern Recognition Problems

Description: This thesis includes three separate research projects focusing on computer vision principles and deep learning pattern recognition problems. Chapter 3 entails color quantization applications using traditional Kmeans clustering techniques and random selection of color techniques within the red, green, blue (RGB) color space to maintain a high-quality image while significantly reducing image file size. Chapter 4 consists of a handwriting character recognition algorithm using backpropagation to cl… more
Date: August 2021
Creator: Jaques, Lorenzo E
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

The National Security Commission on Artificial Intelligence

Description: Website documenting the work of the National Security Commission on Artificial Intelligence, including their final report regarding recommendations for advancement and national security related to "artificial intelligence, machine learning, and associated technologies."
Date: 2021
Creator: National Security Commission on Artificial Intelligence (U.S.)
Item Type: Refine your search to only Website
Partner: UNT Libraries Government Documents Department
open access

Interim Report and Third Quarter Recommendations, October 2020

Description: A report containing the National Security Commission on Artificial Intelligence (NSCAI)'s third quarterly memo and second interim report with 66 recommendations in key areas. They are organized under five tabs: strengthening the triangular alliance for AI research, applying AI for national security missions, training and recruiting AI talent, protecting and building upon U.S. technology advances, and marshaling global AI cooperation & ethics.
Date: October 2020
Creator: National Security Commission on Artificial Intelligence (U.S.)
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

National Security Commission on Artificial Intelligence: Interim Report, November 2019

Description: Report presenting the National Security Commission on Artificial Intelligence's initial (NSCAI)'s preliminary assessment of artificial intelligence (AI). It discusses NSCAI's definition of AI, the challenges and context around it, where the U.S. Government can apply it, considerations on ethical and trustworhy AI, and associated technologies.
Date: November 2019
Creator: National Security Commission on Artificial Intelligence (U.S.)
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

National Security Commission on Artificial Intelligence: Initial Report

Description: A brief report summarizing the National Security Commission on Artificial Intelligence's activities, meetings, relationships with the U.S. Government, industry, and academia, early substantive assessments, commission staff, and next steps.
Date: July 31, 2019
Creator: National Security Commission on Artificial Intelligence (U.S.)
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Mitigating Economic Impacts of the COVID-19 Pandemic and Preserving U.S. Strategic Competitiveness in Artificial Intelligence

Description: White paper authored by three members of the National Security Commission on Artificial Intelligence to address AI-related aspects of the COVID-19 pandemic response and the implications of the crisis for America's security and strategic competitiveness. It offers five themed recommendations to use AI to reopen, assess, preserve, screen, and return the U.S.'s economic and national security concerns during and after the pandemic.
Date: May 19, 2020
Creator: Darby, Chris; Louie, Gilman & Matheny, Jason
Item Type: Refine your search to only Paper
Partner: UNT Libraries Government Documents Department
open access

Final Report: National Security Commission on Artificial Intelligence

Description: Final report presenting the National Security Commission for Artificial Intelligence (NSCAI)'s recommendations for winning the AI era. It includes a 16 chapter Main Report and "Blueprints for Action that outline the concrete steps departments and agencies can take to implement NSCAI's recommendations." - Introduction.
Date: March 1, 2021
Creator: National Security Commission on Artificial Intelligence (U.S.)
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Generative Artificial Intelligence in Canadian Post-Secondary Education: AI Policies, Possibilities, Realities, and Futures

Description: Report examining "faculty member and administrator perspectives on Generative Artificial Intelligence (AI), which is a technology popularized by ChatGPT that uses machine learning to process data and produce new content, including audio, code, images, text, simulations, and videos" (p. 2).
Date: 2023
Creator: Veletsianos, George
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

First Quarter Recommendations, March 2020

Description: A quarterly report detailing recommendations for areas identified in most need of attention, ripe for action, or foundational to AI and national security. They are grouped into seven tabs: increasing AI R&D investments, accelerating AI application in Department of Defense, strengthening AI workforce, promoting US leadership in AI hardware & 5G, improving cooperation among key allies and partners, advancing ethical and responsible AI, and threat analysis and recommended actions. The recommendat… more
Date: March 2020
Creator: National Security Commission on Artificial Intelligence (U.S.)
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Privacy and Ethics Recommendations for Computing Applications Developed to Mitigate COVID-19

Description: The first of three white papers authored by members of the National Security Commission on Artificial Intelligence (NSCAI) on harnessing data and computing technologies to mitigate the COVID-19 pandemic. The report analyzes how computing applications can supplement the United States' manual contract tracing efforts and recommends privacy and ethics considerations in developing and fielding these applications.
Date: May 6, 2020
Creator: Horvitz, Eric J. (Eric Joel); Clyburn, Mignon Leticia, 1962-; Griffiths, José-Marie & Matheny, Jason
Item Type: Refine your search to only Paper
Partner: UNT Libraries Government Documents Department
open access

National Artificial Intelligence Research and Development Strategic Plan 2023 Update

Description: "This document includes relevant text from the 2016 and 2019 national AI R&D strategic plans, along with updates prepared in 2023 based on Administration and interagency evaluation of the National AI R&D Strategic Plan: 2019 Update as well as community responses to a Request for Information on updating the Plan. The 2019 strategies were broadly determined to be valid going forward. The 2023 update adds a new Strategy 9, which establishes a principled and coordinated approach to international co… more
Date: May 2023
Creator: National Science and Technology Council (U.S.). Select Committee on Artificial Intelligence.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning Technologies for Medical Diagnostics

Description: Report discussing currently available machine learning (ML) medical diagnostic technologies for five selected diseases, emerging ML medical diagnostic technologies, challenges affecting the development and adoption of ML technologies for medical diagnosis, and policy options to help address challenges in the use of artificial intelligence (AI) technologies in health care (Part One). Part Two presents a framework for evaluating and promoting provider adoption of new AI-assisted diagnostic decisi… more
Date: September 2022
Creator: United States. Government Accountability Office.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning in Drug Development

Description: Artificial intelligence and machine learning (AI/ML) is a set of technologies that includes automated systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, and decision-making. AI/ML has promising applications in health care, including drug development. For example, it may have the potential to help identify new treatments, reduce failure rates in clinical trials, and generally result in a more efficient and effective drug develop… more
Date: December 2019
Creator: United States. Government Accountability Office.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Science and Tech Spotlight: Deepfakes

Description: Document summarizing deepfake technology and highlighting opportunities, challenges, and policy questions related to the development of this technology.
Date: February 2020
Creator: United States. Government Accountability Office. Science, Technology Assessment, and Analytics.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
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