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Articles 1 - 13 of 13
Full-Text Articles in Entire DC Network
Fundamentals Of Human-Centric Artificial Intelligence (A.I.): Comparative Analysis Of Europe And The U. S. Landscape, Torré A. Williams
Fundamentals Of Human-Centric Artificial Intelligence (A.I.): Comparative Analysis Of Europe And The U. S. Landscape, Torré A. Williams
Cybersecurity Undergraduate Research Showcase
This research is a comparative analysis of human-centric Artificial Intelligence (A.I.) in Europe and the U.S. This research establishes fundamentals that are critical to what makes A.I. human-centric. This research contains eight phases: 1) Lawful A.I.; 2) Robust A.I.; 3) Ethical A.I.; 4) Human-centric A.I.; 5) Current State of A.I.; 6) A.I. in Europe; 7) A.I. in the U.S.; 9) Importance of Human-centric A.I. This research shows that there are still ongoing changes with having a human-centric A.I. and why it is very important to society. This research is the beginning of the making of a successful and reliable human-centric …
Deep Learning With Physics Informed Neural Networks For The Airborne Spread Of Covid-19 In Enclosed Spaces, Udbhav Muthakana, Padmanabhan Seshaiyer, Maziar Raissi, Long Nguyen
Deep Learning With Physics Informed Neural Networks For The Airborne Spread Of Covid-19 In Enclosed Spaces, Udbhav Muthakana, Padmanabhan Seshaiyer, Maziar Raissi, Long Nguyen
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
From Ai With Love: Reading Big Data Poetry Through Gilbert Simondon’S Theory Of Transduction, Andrew Klobucar
From Ai With Love: Reading Big Data Poetry Through Gilbert Simondon’S Theory Of Transduction, Andrew Klobucar
Electronic Literature Organization Conference 2020
Computation initiated a far-reaching re-imagination of language, not just as an information tool, but as a social, bio-physical activity in general. Modern lexicology provides an important overview of the ongoing development of textual documentation and its applications in relation to language and linguistics. At the same time, the evolution of lexical tools from the first dictionaries and graphs to algorithmically generated scatter plots of live online interaction patterns has been surprisingly swift. Modern communication and information studies from Norbert Weiner to the present-day support direct parallels between coding and linguistic systems. However, most theories of computation as a model of …
Why Are We Like This?: Exploring Writing Mechanics For An Ai-Augmented Storytelling Game, Max Kreminski, Melanie Dickinson, Michael Mateas, Noah Wardrip-Fruin
Why Are We Like This?: Exploring Writing Mechanics For An Ai-Augmented Storytelling Game, Max Kreminski, Melanie Dickinson, Michael Mateas, Noah Wardrip-Fruin
Electronic Literature Organization Conference 2020
Why Are We Like This? (WAWLT) is a playful, co-creative, AI-augmented, improvisational storytelling game in which one or more players explore and influence an ongoing simulation which they then glean for narrative material. It uses the recently developed simulation technology of story sifting (the recognition of microstories in a chronicle of simulation events), via the Felt library, to afford a new kind of playful, social, and creative writing experience. In this paper, we discuss our primary design goals: (1) using computation and interaction design to support casual player creativity, and (2) foregrounding character subjectivity as a driver for …
Assessing Evidence Relevance By Disallowing Assessment, John Licato, Michael Cooper
Assessing Evidence Relevance By Disallowing Assessment, John Licato, Michael Cooper
OSSA Conference Archive
Guidelines for assessing whether potential evidence is relevant to some argument tend to rely on criteria that are subject to well-known biasing effects. We describe a framework for argumentation that does not allow participants to directly decide whether evidence is potentially relevant to an argument---instead, evidence must prove its relevance through demonstration. This framework, called WG-A, is designed to translate into a dialogical game playable by minimally trained participants.
Commentary On: Julder Gómez, “The Incommensurability Of Values Problem”, Alice Toniolo
Commentary On: Julder Gómez, “The Incommensurability Of Values Problem”, Alice Toniolo
OSSA Conference Archive
No abstract provided.
Raspberry Pi Ai Assistant, Cole Tharaldson
Raspberry Pi Ai Assistant, Cole Tharaldson
Student Academic Conference
Artificial Intelligence (AI) assistants are nearly everywhere you look in today’s society. With the use of a Raspberry Pi computer and the Google Application Programming Interface (API), an AI assistant can be created. Much like Google Home, this AI assistant can help people with everyday tasks, such as handling requests, controlling smart devices, answering questions, or even telling jokes.
Machines And Human Language, Gabe Wilberscheid
Machines And Human Language, Gabe Wilberscheid
Student Academic Conference
A look at the history of Natural Language Processing (NLP) and how machines learn to understand humans.
Simulation Environment For Object Manipulation With Soft Robots In Shared Autonomy, Devin Hunter, Fabio Stroppa, Allison Okamura
Simulation Environment For Object Manipulation With Soft Robots In Shared Autonomy, Devin Hunter, Fabio Stroppa, Allison Okamura
Showcase of Osprey Advancements in Research and Scholarship (SOARS)
The robots of today have grown to be of much more significant use than their predecessors. Robots are now being used in industries outside of the factory setting which can be seen primarily in the medical, transportation, and social fields. With robots taking on all of these new roles within our society, the establishment of robust human-robot collaboration is crucial in order for robots to be able to successfully complete desired tasks without becoming a hinderance to nearby humans. We explored this concept by implementing a shared-autonomy algorithm named MBSA (Motion Based Smart Assistance) to a soft robot simulation and …
Evaluation Of Text Mining Techniques Using Twitter Data For Hurricane Disaster Resilience, Joshua Eason, Sathish Kumar
Evaluation Of Text Mining Techniques Using Twitter Data For Hurricane Disaster Resilience, Joshua Eason, Sathish Kumar
SDSU Data Science Symposium
Data obtained from social media microblogging websites such as Twitter provide the unique ability to collect and analyze conversations of the public in order to gain perspective on the thoughts and feelings of the general public. Sentiment and volume analysis techniques were applied to the dataset in order to gain an understanding of the amount and level of sentiment associated with certain disaster-related tweets, including a topical analysis of specific terms. This study showed that disaster-type events such as a hurricane can cause some strong negative sentiment in the period of time directly preceding the event, but ultimately returns quickly …
Data And Artificial Intelligence: Mismatch Between Expectations And Uses, Diana Garcia
Data And Artificial Intelligence: Mismatch Between Expectations And Uses, Diana Garcia
Cybersecurity Undergraduate Research Showcase
People like to hide behind their phones when it comes to social media. Not every user has their real name or their own photo on display in their social media account. To obfuscate their identities, some users use unusual usernames and profile photos that are divorced from their true identity.
Accessibility Of Deepfakes, Andrew L. Collings
Accessibility Of Deepfakes, Andrew L. Collings
Cybersecurity Undergraduate Research Showcase
The danger posed by falsified media, commonly referred to as deepfakes, has been well researched and documented. The software Faceswap to was used to swap the faces of two politician (Joe Biden and Donald Trump). The testing was performed using an affordable consumer GPU (an AMD Radeon RX 570) over 100,000 iterations. The process and results for the two attempts with the best results (and largest differences) were recorded. The result was ultimately unconvincing, while the software was able to recreate the facial structure the lighting and skin tone did not blend at all.
Exploration And Implementation Of Neural Ordinary Differential Equations, Long Huu Nguyen, Andy Malinsky
Exploration And Implementation Of Neural Ordinary Differential Equations, Long Huu Nguyen, Andy Malinsky
Capstone Showcase
Neural ordinary differential equations (ODEs) have recently emerged as a novel ap- proach to deep learning, leveraging the knowledge of two previously separate domains, neural networks and differential equations. In this paper, we first examine the back- ground and lay the foundation for traditional artificial neural networks. We then present neural ODEs from a rigorous mathematical perspective, and explore their advantages and trade-offs compared to traditional neural nets.