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2023

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Full-Text Articles in Computer Sciences

Ai And The Creative Process: Part Three, James Hutson Oct 2023

Ai And The Creative Process: Part Three, James Hutson

Faculty Scholarship

Article discussing the effects of artificial intelligence on the creative process in the art world.

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Artst: Arabic Text And Speech Transformer, Hawau Olamide Toyin, Amirbek Djanibekov, Ajinkya Kulkarni, Hanan Al Darmaki Oct 2023

Artst: Arabic Text And Speech Transformer, Hawau Olamide Toyin, Amirbek Djanibekov, Ajinkya Kulkarni, Hanan Al Darmaki

Natural Language Processing Faculty Publications

We present ArTST, a pre-trained Arabic text and speech transformer for supporting open-source speech technologies for the Arabic language. The model architecture follows the unified-modal framework, SpeechT5, that was recently released for English, and is focused on Modern Standard Arabic (MSA), with plans to extend the model for dialectal and code-switched Arabic in future editions. We pre-trained the model from scratch on MSA speech and text data, and fine-tuned it for the following tasks: Automatic Speech Recognition (ASR), Text-To-Speech synthesis (TTS), and spoken dialect identification. In our experiments comparing ArTST with SpeechT5, as well as with previously reported results in …

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Statistical And Machine Learning Approaches To Describe Factors Affecting Preweaning Mortality Of Piglets, Md Towfiqur Rahman, Tami M. Brown-Brandl, Gary A. Rohrer, Sudhendu R. Sharma, Vamsi Manthena, Yeyin Shi Oct 2023

Statistical And Machine Learning Approaches To Describe Factors Affecting Preweaning Mortality Of Piglets, Md Towfiqur Rahman, Tami M. Brown-Brandl, Gary A. Rohrer, Sudhendu R. Sharma, Vamsi Manthena, Yeyin Shi

Department of Agricultural and Biological Systems Engineering: Faculty Publications

High preweaning mortality (PWM) rates for piglets are a significant concern for the worldwide pork industries, causing economic loss and well-being issues. This study focused on identifying the factors affecting PWM, overlays, and predicting PWM using historical production data with statistical and machine learning models. Data were collected from 1,982 litters from the United States Meat Animal Research Center, Nebraska, over the years 2016 to 2021. Sows were housed in a farrowing building with three rooms, each with 20 farrowing crates, and taken care of by well-trained animal caretakers. A generalized linear model was used to analyze the various sow, …

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Evaluating Methods For Improving Dnn Robustness Against Adversarial Attacks, Laureano Griffin Oct 2023

Evaluating Methods For Improving Dnn Robustness Against Adversarial Attacks, Laureano Griffin

USF Tampa Graduate Theses and Dissertations

Deep learning has become more widespread as advances in the field continue. As aresult, making sure deep learning is safe has become a priority. A seemingly normal image with intentional pixel changes can cause a well-trained model to misclassify the image with high confidence. Those kinds of images are called adversarial attacks. Adversarial training has been developed to defend against adversarial attacks. This thesis evaluates different adversarial training methods against a variety of adversarial attacks. The key metrics for evaluation are classification accuracy and training time. This thesis also experiments with an improvement on an existing adversarial training method, the …

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An Incremental Gray-Box Physical Adversarial Attack On Neural Network Training, Rabiah Al-Qudah, Moayad Aloqaily, Bassem Ouni, Mohsen Guizani, Thierry Lestable Oct 2023

An Incremental Gray-Box Physical Adversarial Attack On Neural Network Training, Rabiah Al-Qudah, Moayad Aloqaily, Bassem Ouni, Mohsen Guizani, Thierry Lestable

Machine Learning Faculty Publications

Neural networks have demonstrated remarkable success in learning and solving complex tasks in a variety of fields including cognitive cities. Nevertheless, the rise of those networks in modern computing has been accompanied by concerns regarding their vulnerability to adversarial attacks. In this work, we propose a novel gradient-free, gray box, incremental attack that targets the training process of neural networks. The proposed attack, which implicitly poisons the intermediate data structures that retain the training instances between training epochs acquires its high-risk property from attacking data structures that are typically unobserved by professionals. Hence, the attack goes unnoticed despite the damage …

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Harris Hawks Feature Selection In Distributed Machine Learning For Secure Iot Environments, Neveen Hijazi, Moayad Aloqaily, Bassem Ouni, Fakhri Karray, Merouane Debbah Oct 2023

Harris Hawks Feature Selection In Distributed Machine Learning For Secure Iot Environments, Neveen Hijazi, Moayad Aloqaily, Bassem Ouni, Fakhri Karray, Merouane Debbah

Machine Learning Faculty Publications

The development of the Internet of Things (IoT) has dramatically expanded our daily lives, playing a pivotal role in the enablement of smart cities, healthcare, and buildings. Emerging technologies, such as IoT, seek to improve the quality of service in cognitive cities. Although IoT applications are helpful in smart building applications, they present a real risk as the large number of interconnected devices in those buildings, using heterogeneous networks, increases the number of potential IoT attacks. IoT applications can collect and transfer sensitive data. Therefore, it is necessary to develop new methods to detect hacked IoT devices. This paper proposes …

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Leveraging Vr/Ar/Mr/Xr Technologies To Improve Cybersecurity Education, Training, And Operations, Paul Wagner, Dalal Alharthi Oct 2023

Leveraging Vr/Ar/Mr/Xr Technologies To Improve Cybersecurity Education, Training, And Operations, Paul Wagner, Dalal Alharthi

Journal of Cybersecurity Education, Research and Practice

The United States faces persistent threats conducting malicious cyber campaigns that threaten critical infrastructure, companies and their intellectual property, and the privacy of its citizens. Additionally, there are millions of unfilled cybersecurity positions, and the cybersecurity skills gap continues to widen. Most companies believe that this problem has not improved and nearly 44% believe it has gotten worse over the past 10 years. Threat actors are continuing to evolve their tactics, techniques, and procedures for conducting attacks on public and private targets. Education institutions and companies must adopt emerging technologies to develop security professionals and to increase cybersecurity awareness holistically. …

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A Psychometric Analysis Of Natural Language Inference Using Transformer Language Models, Antonio Laverghetta Jr. Oct 2023

A Psychometric Analysis Of Natural Language Inference Using Transformer Language Models, Antonio Laverghetta Jr.

USF Tampa Graduate Theses and Dissertations

Large language models (LLMs) are poised to transform both academia and industry. But the excitement around these generative AIs has also been met with concern for the true extent of their capabilities. This dissertation helps to address these questions by examining the capabilities of LLMs using the tools of psychometrics. We focus on analyzing the capabilities of LLMs on the task of natural language inference (NLI), a foundational benchmark often used to evaluate new models. We demonstrate that LLMs can reliably predict the psychometric properties of NLI items were those items administered to humans. Through a series of experiments, we …

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Text Augmentation For Semantic Frame Induction And Parsing, Saba Anwar, Artem Shelmanov, Nikolay Arefyev, Alexander Panchenko, Chris Biemann Oct 2023

Text Augmentation For Semantic Frame Induction And Parsing, Saba Anwar, Artem Shelmanov, Nikolay Arefyev, Alexander Panchenko, Chris Biemann

Natural Language Processing Faculty Publications

Semantic frames are formal structures describing situations, actions or events, e.g., Commerce buy, Kidnapping, or Exchange. Each frame provides a set of frame elements or semantic roles corresponding to participants of the situation and lexical units (LUs)—words and phrases that can evoke this particular frame in texts. For example, for the frame Kidnapping, two key roles are Perpetrator and the Victim, and this frame can be evoked with lexical units abduct, kidnap, or snatcher. While formally sound, the scarce availability of semantic frame resources and their limited lexical coverage hinders the wider adoption of frame semantics across languages and domains. …

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Similarity Measure Of Plithogenic Cubic Vague Sets: Examples And Possibilities, S. Anitha, A. Francina Shalini Oct 2023

Similarity Measure Of Plithogenic Cubic Vague Sets: Examples And Possibilities, S. Anitha, A. Francina Shalini

Neutrosophic Systems with Applications

The crisp, fuzzy, intuitionistic fuzzy, and neutrosophic sets are the extension of the plithogenic set, in which elements are characterized by the number of attributes and each attribute can assume many values. To achieve more accuracy and precise exclusion, a contradiction or dissimilarity degree is specified between each attribute and the values of the dominating attribute. A plithogenic cubic vague set is a combination of a plithogenic cubic set and a vague set. The key tool for resolving problems with pattern recognition and clustering analysis is the similarity measure. In this research, we characterize and investigate the similarities between two …

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Similarity Measure Of Plithogenic Cubic Vague Sets: Examples And Possibilities, S. Anitha, A. Francina Shalini Oct 2023

Similarity Measure Of Plithogenic Cubic Vague Sets: Examples And Possibilities, S. Anitha, A. Francina Shalini

Neutrosophic Systems with Applications

The crisp, fuzzy, intuitionistic fuzzy, and neutrosophic sets are the extension of the plithogenic set, in which elements are characterized by the number of attributes and each attribute can assume many values. To achieve more accuracy and precise exclusion, a contradiction or dissimilarity degree is specified between each attribute and the values of the dominating attribute. A plithogenic cubic vague set is a combination of a plithogenic cubic set and a vague set. The key tool for resolving problems with pattern recognition and clustering analysis is the similarity measure. In this research, we characterize and investigate the similarities between two …

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Yet Another Model For Arabic Dialect Identification, Ajinkya Kulkarni, Hanan Al Darmaki Oct 2023

Yet Another Model For Arabic Dialect Identification, Ajinkya Kulkarni, Hanan Al Darmaki

Natural Language Processing Faculty Publications

In this paper, we describe a spoken Arabic dialect identification (ADI) model for Arabic that consistently outperforms previously published results on two benchmark datasets: ADI-5 and ADI-17. We explore two architectural variations: ResNet and ECAPA-TDNN, coupled with two types of acoustic features: MFCCs and features exratected from the pre-trained self-supervised model UniSpeech-SAT Large, as well as a fusion of all four variants. We find that individually, ECAPA-TDNN network outperforms ResNet, and models with UniSpeech-SAT features outperform models with MFCCs by a large margin. Furthermore, a fusion of all four variants consistently outperforms individual models. Our best models outperform previously reported …

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Adm: Appraiser Decision Model For Empowering Industry 5.0-Driven Manufacturers Toward Sustainability And Optimization: A Case Study, Gawaher Soliman Hussein, Abdel Nasser H. Zaied, Mona Mohamed Oct 2023

Adm: Appraiser Decision Model For Empowering Industry 5.0-Driven Manufacturers Toward Sustainability And Optimization: A Case Study, Gawaher Soliman Hussein, Abdel Nasser H. Zaied, Mona Mohamed

Neutrosophic Systems with Applications

Whilst it was thought that Industry 4.0 (I 4.0) would support sustainable growth, it overlooked or misinterpreted many current sustainability issues, which gave rise to the Industry 5.0 (I 5.0) agenda. Such a revolution facilitates sustainable development through its three dimensions. Therefore, I 5.0 promotes more effective management of business environment as supply chain resources. Although artificial intelligence (AI) and big data analytics (BDA) are becoming more well-liked in the context of supply chains, research to this day is fragmented into research streams that are mostly determined by the publishing outlet. This study appraises the ability of these techniques in …

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Some Types Of Neutrosophic Filters In Basic Logic Algebras, A. Ibrahim, S. Karunya Helen Gunaseeli, Said Broumi Oct 2023

Some Types Of Neutrosophic Filters In Basic Logic Algebras, A. Ibrahim, S. Karunya Helen Gunaseeli, Said Broumi

Neutrosophic Systems with Applications

The purpose of this article is to study the neutrosophication of prime and Boolean filters in Basic Logic (BL) algebras. We establish the notions of the neutrosophic prime and Boolean filters of BL-algebras with suitable examples and examine a few of their properties. As a result, we can determine the necessary and sufficient conditions and extension properties of both the neutrosophic prime and Boolean filters of BL-algebras. In addition, by combining both filters we instigate the concept of the neutrosophic prime Boolean filter of BL-algebras with illustration. In the future, the above study can be extended to soft multiset. Moreover, …

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Dynamic Mechanism Of Science Based Technological Innovation And Industrial Evolution—Take Semiconductor, Digital Computer And Radio Technologies As Examples, Yi Zhang, Qiang Yan Oct 2023

Dynamic Mechanism Of Science Based Technological Innovation And Industrial Evolution—Take Semiconductor, Digital Computer And Radio Technologies As Examples, Yi Zhang, Qiang Yan

Bulletin of Chinese Academy of Sciences (Chinese Version)

By studying the technological innovation and industrial development process of semiconductor, digital computer and radio, this study analyzes the path, conditions and force of science-based technological innovation and its industrialization, establishes a chain reaction model of large-scale technological innovation and diffusion, and compares it with market-based technological innovation. It is found that the large-scale aggregation of scientific research institutions and industrial laboratories accelerates the speed of technological innovation, and diffuses along two paths of scientific research institutions to enterprises and enterprises to enterprises, forming a chain reaction of large-scale technological innovation. Strategic demand is the basic driving force for the …

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Decentralized Science (Desci): A New Paradigm For Diverse And Sustainable Scientific Development, Feiyue Wang, Wenwen Ding Oct 2023

Decentralized Science (Desci): A New Paradigm For Diverse And Sustainable Scientific Development, Feiyue Wang, Wenwen Ding

Bulletin of Chinese Academy of Sciences (Chinese Version)

The rise of artificial intelligence for science (AI4S) has made it particularly important and urgent to ensure the openness, fairness, impartiality, diversity, and sustainability of scientific systems. This is significant to the discourse power and leadership of countries in global innovation and industrial revolution, and also affects the security, stability, and sustainable development of a community with a shared future for mankind. To address these challenges, AI4S needs to adopt new scientific organizational and operational methods. Decentralized science (DeSci) has emerged to vitalize AI4S and provide strong support, effectively addressing issues such as information silos, biases, unfair distribution, and monopolies …

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Hydrogen Peroxide-Dependent Oxidation Of Erk2 Within Its D-Recruitment Site Alters Its Substrate Selection, Anthony E. Postiglione, Laquaundra L. Adams, Ese S. Ekhator, Anuoluwapo E. Odelade, Supriya Patwardhan, Meenal Chaudhari, Avery S. Pardue, Anjali Kumari, William A. Lefever, Olivia P. Tornow, Tamer S. Kaoud, Johnathan Neiswinger, Jun Seop Jeong, Derek Parsonage, Kimberly J. Nelson, Dukka Kc, Cristina M. Furdui, Heng Zhu, Andrew J. Wommack, Kevin N. Dalby, Ming Dong, Leslie B. Poole, Jeremiah D. Keyes, Robert H. Newman Oct 2023

Hydrogen Peroxide-Dependent Oxidation Of Erk2 Within Its D-Recruitment Site Alters Its Substrate Selection, Anthony E. Postiglione, Laquaundra L. Adams, Ese S. Ekhator, Anuoluwapo E. Odelade, Supriya Patwardhan, Meenal Chaudhari, Avery S. Pardue, Anjali Kumari, William A. Lefever, Olivia P. Tornow, Tamer S. Kaoud, Johnathan Neiswinger, Jun Seop Jeong, Derek Parsonage, Kimberly J. Nelson, Dukka Kc, Cristina M. Furdui, Heng Zhu, Andrew J. Wommack, Kevin N. Dalby, Ming Dong, Leslie B. Poole, Jeremiah D. Keyes, Robert H. Newman

Michigan Tech Publications

Extracellular signal-regulated kinases 1 and 2 (ERK1/2) are dysregulated in many pervasive diseases. Recently, we discovered that ERK1/2 is oxidized by signal-generated hydrogen peroxide in various cell types. Since the putative sites of oxidation lie within or near ERK1/2’s ligand-binding surfaces, we investigated how oxidation of ERK2 regulates interactions with the model substrates Sub-D and Sub-F. These studies revealed that ERK2 undergoes sulfenylation at C159 on its D-recruitment site surface and that this modification modulates ERK2 activity differentially between substrates. Integrated biochemical, computational, and mutational analyses suggest a plausible mechanism for peroxide-dependent changes in ERK2-substrate interactions. Interestingly, oxidation decreased ERK2’s …

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Adm: Appraiser Decision Model For Empowering Industry 5.0-Driven Manufacturers Toward Sustainability And Optimization: A Case Study, Gawaher Soliman Hussein, Abdel Nasser H. Zaied, Mona Mohamed Oct 2023

Adm: Appraiser Decision Model For Empowering Industry 5.0-Driven Manufacturers Toward Sustainability And Optimization: A Case Study, Gawaher Soliman Hussein, Abdel Nasser H. Zaied, Mona Mohamed

Neutrosophic Systems with Applications

Whilst it was thought that Industry 4.0 (I 4.0) would support sustainable growth, it overlooked or misinterpreted many current sustainability issues, which gave rise to the Industry 5.0 (I 5.0) agenda. Such a revolution facilitates sustainable development through its three dimensions. Therefore, I 5.0 promotes more effective management of business environment as supply chain resources. Although artificial intelligence (AI) and big data analytics (BDA) are becoming more well-liked in the context of supply chains, research to this day is fragmented into research streams that are mostly determined by the publishing outlet. This study appraises the ability of these techniques in …

Go to article

Some Types Of Neutrosophic Filters In Basic Logic Algebras, A. Ibrahim, S. Karunya Helen Gunaseeli, Said Broumi Oct 2023

Some Types Of Neutrosophic Filters In Basic Logic Algebras, A. Ibrahim, S. Karunya Helen Gunaseeli, Said Broumi

Neutrosophic Systems with Applications

The purpose of this article is to study the neutrosophication of prime and Boolean filters in Basic Logic (BL) algebras. We establish the notions of the neutrosophic prime and Boolean filters of BL-algebras with suitable examples and examine a few of their properties. As a result, we can determine the necessary and sufficient conditions and extension properties of both the neutrosophic prime and Boolean filters of BL-algebras. In addition, by combining both filters we instigate the concept of the neutrosophic prime Boolean filter of BL-algebras with illustration. In the future, the above study can be extended to soft multiset. Moreover, …

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Habit-Tracking Application For Individuals With Attention Deficit Hyperactivity Disorder (Adhd), Hannah Wishon Oct 2023

Habit-Tracking Application For Individuals With Attention Deficit Hyperactivity Disorder (Adhd), Hannah Wishon

Harrisburg University Research Symposium: Highlighting Research, Innovation, & Creativity

This project aims to create a habit-tracking app that would cater to the needs of those with ADHD while being accessible enough to be used by the general, neurotypical public.

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Roguelike Development, Luke Speicher Oct 2023

Roguelike Development, Luke Speicher

Harrisburg University Research Symposium: Highlighting Research, Innovation, & Creativity

I started the process of Game Development on an arena-based roguelike game, using the Construct 3 engine for the development. This included documents with the design process timeline, as well as design documents for content within the game.

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Metaverse Key Requirements And Platforms Survey, Akbobek Abilkaiyrkyzy, Ahmed Elhagry, Fedwa Laamarti, Abdulmotaleb El Saddik Oct 2023

Metaverse Key Requirements And Platforms Survey, Akbobek Abilkaiyrkyzy, Ahmed Elhagry, Fedwa Laamarti, Abdulmotaleb El Saddik

Computer Vision Faculty Publications

The growing interest in the metaverse has led to an abundance of platforms, each with its own unique features and limitations. This paper's objective is two-fold. First, we aim at providing an objective analysis of requirements that need to be fulfilled by metaverse platforms. We survey a broad set of criteria including interoperability, immersiveness, persistence, multimodal and social interaction, scalability, level of openness, configurability, market access, security, and blockchain integration, among others. Second, we review a wide range of existing metaverse platforms, and we critically evaluate their ability to meet the requirements listed. We identify their limitations, which must be …

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3-Dimensional Quartic Bézier Curve Approximation Model By Using Neutrosophic Approach, Siti Nur Idara Rosli, Mohammad Izat Emir Zulkifly Oct 2023

3-Dimensional Quartic Bézier Curve Approximation Model By Using Neutrosophic Approach, Siti Nur Idara Rosli, Mohammad Izat Emir Zulkifly

Neutrosophic Systems with Applications

In a 3-dimensional data collection process, there exists noise data that cannot be included to visualize the process. Therefore, it is difficult to deal with since fuzzy set and intuitionistic fuzzy set theories did not consider the indeterminacy problem. However, using a neutrosophic approach with three memberships: truth, false, and indeterminacy membership function, the error data will be treated as uncertain data by using the indeterminacy degree. Thus, this study will visualize the 3-dimensional quartic Bézier curve model by using neutrosophic set theory. To construct the model, the neutrosophic quartic control point must first be introduced to approximate the neutrosophic …

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3-Dimensional Quartic Bézier Curve Approximation Model By Using Neutrosophic Approach, Siti Nur Idara Rosli, Mohammad Izat Emir Zulkifly Oct 2023

3-Dimensional Quartic Bézier Curve Approximation Model By Using Neutrosophic Approach, Siti Nur Idara Rosli, Mohammad Izat Emir Zulkifly

Neutrosophic Systems with Applications

In a 3-dimensional data collection process, there exists noise data that cannot be included to visualize the process. Therefore, it is difficult to deal with since fuzzy set and intuitionistic fuzzy set theories did not consider the indeterminacy problem. However, using a neutrosophic approach with three memberships: truth, false, and indeterminacy membership function, the error data will be treated as uncertain data by using the indeterminacy degree. Thus, this study will visualize the 3-dimensional quartic Bézier curve model by using neutrosophic set theory. To construct the model, the neutrosophic quartic control point must first be introduced to approximate the neutrosophic …

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Enhancing Rice Leaf Disease Classification: A Customized Convolutional Neural Network Approach, Ammar Kamal Abasi, Sharif Naser Makhadmeh, Osama Ahmad Alomari, Mohammad Tubishat, Husam Jasim Mohammed Oct 2023

Enhancing Rice Leaf Disease Classification: A Customized Convolutional Neural Network Approach, Ammar Kamal Abasi, Sharif Naser Makhadmeh, Osama Ahmad Alomari, Mohammad Tubishat, Husam Jasim Mohammed

All Works

In modern agriculture, correctly identifying rice leaf diseases is crucial for maintaining crop health and promoting sustainable food production. This study presents a detailed methodology to enhance the accuracy of rice leaf disease classification. We achieve this by employing a Convolutional Neural Network (CNN) model specifically designed for rice leaf images. The proposed method achieved an accuracy of 0.914 during the final epoch, demonstrating highly competitive performance compared to other models, with low loss and minimal overfitting. A comparison was conducted with Transfer Learning Inception-v3 and Transfer Learning EfficientNet-B2 models, and the proposed method showed superior accuracy and performance. With …

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Integrating Nist And Iso Cybersecurity Audit And Risk Assessment Frameworks Into Cameroonian Law, Bernard Ngalim Oct 2023

Integrating Nist And Iso Cybersecurity Audit And Risk Assessment Frameworks Into Cameroonian Law, Bernard Ngalim

Journal of Cybersecurity Education, Research and Practice

This paper reviews cybersecurity laws and regulations in Cameroon, focusing on cybersecurity and information security audits and risk assessments. The importance of cybersecurity risk assessment and the implementation of security controls to cure deficiencies noted during risk assessments or audits is a critical step in developing cybersecurity resilience. Cameroon's cybersecurity legal framework provides for audits but does not explicitly enumerate controls. Consequently, integrating relevant controls from the NIST frameworks and ISO Standards can improve the cybersecurity posture in Cameroon while waiting for a comprehensive revision of the legal framework. NIST and ISO are internationally recognized as best practices in information …

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Lrtransformer: Learn-Region Transformer For Object-Agnostic Point Cloud Segmentation, Dipesh Gyawali Oct 2023

Lrtransformer: Learn-Region Transformer For Object-Agnostic Point Cloud Segmentation, Dipesh Gyawali

LSU Master's Theses

3D point cloud segmentation segments the 3D point cloud data into different regions/instances depending on their features that have numerous applications in robotics, autonomous driving, digital twinning, augmented reality, etc. The majority of the existing point cloud segmentation methods depend on class labels to identify 3D objects in the surroundings. Our work focuses on segmenting point clouds into different regions/instances in an object-agnostic manner for any number of objects in the environment. Given the point cloud, our method can segment the entire scene into multiple instances without depending on object shape and size. We leverage the power of the self-attention …

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Improving Human-Automation Collaboration In Motion Planning, Torin J. Adamson Oct 2023

Improving Human-Automation Collaboration In Motion Planning, Torin J. Adamson

Computer Science ETDs

Human-automation collaboration is becoming a part of everyday life as AI helps us drive, make decisions, and solve a variety of other tasks. However, safe and effective collaboration systems depend on factors in trust, communication, and more. Existing studies to explore these are typically carried out in laboratory settings, providing robust data under tight environmental control. However, human behavior evolves over time, driven by external factors that cannot be fully captured in single participation sessions. These factors form the "human context", contextualizing the behavioral data for a more complete understanding. In this thesis, video game adaptations upon conventional subject studies …

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Ai As A License Review Assistant, Nat Gustafson-Sundell Oct 2023

Ai As A License Review Assistant, Nat Gustafson-Sundell

Library Services Publications

I will present the steps we have taken to develop a prototype AI assistant for license review. I’ll explain our criteria for the selection of an AI tool for this project. We reviewed ChatGPT, Claude 2, Bard, and PDF readers. My goal was to develop an initial prototype in a Jupyter Notebook environment so I could easily re-load context information, including a license checklist, but I’ll explain why I revised this goal, instead to linger over license review interactions with ChatBots. I’ll discuss early results, demonstrate example license review interactions, and outline my next steps.

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Artificial Intelligence History, And Libraries: History And Legacy Of Library Contributions To Machine Learning, Wilhelmina Randtke Oct 2023

Artificial Intelligence History, And Libraries: History And Legacy Of Library Contributions To Machine Learning, Wilhelmina Randtke

University Libraries: Faculty Presentations

Machine learning seems to be newly everywhere. It's not new, so much as faster processing makes it newly useful. Imagine an automated cataloging program that takes 300 years to run, versus one that takes a week to run. Increased processing speed is a substantive change. This presentation overviews the history of libraries and artificial intelligence. First, teasing out past applications of machine learning in libraries. High quality results and concrete applications of artificial intelligence in libraries have been explored and published for decades. Over time, faster processing allows use at scale. Second, how library and metadata work contributes to machine …

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