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Full-Text Articles in Digital Humanities
Can Large Language Models Replace The Role Of An Executive During An Oil & Gas Company’S Earnings Call?, Dillon Cleary
Can Large Language Models Replace The Role Of An Executive During An Oil & Gas Company’S Earnings Call?, Dillon Cleary
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Should Ai Have Intellectual Property Rights? An Analysis Of Copyright Law On Generative Ai, Ani Parnagian
Should Ai Have Intellectual Property Rights? An Analysis Of Copyright Law On Generative Ai, Ani Parnagian
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Cross-Cultural Differences In Product Marketing, Junaid Yeasir Fahim
Cross-Cultural Differences In Product Marketing, Junaid Yeasir Fahim
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Ai Scouts In Baseball: How Ai Can Potentially Revolutionize Scouting In Professional Baseball, Parker Gibbons
Ai Scouts In Baseball: How Ai Can Potentially Revolutionize Scouting In Professional Baseball, Parker Gibbons
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Using Ai To Predict Nba Player Statistics Chatgpt Vs Google Bard, Rishil Kondapaneni
Using Ai To Predict Nba Player Statistics Chatgpt Vs Google Bard, Rishil Kondapaneni
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Can Gpt-4 Fool Turnitin? Testing The Limits Of Ai Detection With Prompt Engineering, Abigail Foster
Can Gpt-4 Fool Turnitin? Testing The Limits Of Ai Detection With Prompt Engineering, Abigail Foster
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Decoding Emotions Beyond Words: A Holistic View Of Multimodal Sentiment Analysis, Samyak Shrestha
Decoding Emotions Beyond Words: A Holistic View Of Multimodal Sentiment Analysis, Samyak Shrestha
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Evaluating The Potential Of Ai In Sports Consulting: Investigating Chatgpt- 4'S Ability To Consult An Mlb Team, Drew Robinson
Evaluating The Potential Of Ai In Sports Consulting: Investigating Chatgpt- 4'S Ability To Consult An Mlb Team, Drew Robinson
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Comparing State-Of-The-Art Convolutional Neural Network Performance In Cancer Prediction Tasks, Cael Elmore
Comparing State-Of-The-Art Convolutional Neural Network Performance In Cancer Prediction Tasks, Cael Elmore
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
National Security: Does The Talk Match The Dollars? Topic Modeling To Map Presidential Speeches To Defense Spending, Casualties, And Freedom, Ben Gimbel
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Evaluating Gpt-4’S Consistency And Capacity To Assess And Self- Assess Literary Texts, Annalia Fiore
Evaluating Gpt-4’S Consistency And Capacity To Assess And Self- Assess Literary Texts, Annalia Fiore
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
The Woman’S Metamorphosis: A Time-Traveling Tale Of Image And Text, Grace Sparks
The Woman’S Metamorphosis: A Time-Traveling Tale Of Image And Text, Grace Sparks
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Sentiment Analysis Of Fomc Meeting Transcripts: Pre And Post Mexican Pesos Crisis, Prashant Bhandari
Sentiment Analysis Of Fomc Meeting Transcripts: Pre And Post Mexican Pesos Crisis, Prashant Bhandari
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Freedom, Democracy, And Well-Being: A Comparative Analysis Of Global Progress Indexes Using K-Means Clustering, Maxim Farkhat
Freedom, Democracy, And Well-Being: A Comparative Analysis Of Global Progress Indexes Using K-Means Clustering, Maxim Farkhat
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Prompt Engineering Tips For Generating Text On Cognitive Science And Philosophy Of Mind, Simon Hua
Prompt Engineering Tips For Generating Text On Cognitive Science And Philosophy Of Mind, Simon Hua
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Analysis Of Text-To-Image Ai Generators, Ziyu Huang
Analysis Of Text-To-Image Ai Generators, Ziyu Huang
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Consequences Of Social Network Architecture: Analyzing Sentiment In Reddit Posts About Donald Trump, Evan Wagner
Consequences Of Social Network Architecture: Analyzing Sentiment In Reddit Posts About Donald Trump, Evan Wagner
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Black Box Karl Marx: What Do Large Language Models Have To Say About Das Kapital? A Comparison Of Gpt-2 And Gpt-3 Outputs, Fredrika Pfeiffer
Black Box Karl Marx: What Do Large Language Models Have To Say About Das Kapital? A Comparison Of Gpt-2 And Gpt-3 Outputs, Fredrika Pfeiffer
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Gpt-2 Journalism: Can Ai Produce Mike Royko’S Writing?, Teddy Kamin
Gpt-2 Journalism: Can Ai Produce Mike Royko’S Writing?, Teddy Kamin
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
To begin, newspapers are vital for the Fourth Estate which means that newspapers are the check to the checks and balances of government. The past decade has not been a very good time for newspapers, as they have been caught in the digital revolution. More and more newspapers are shutting down because of online competition, drop in ad revenue, declining circulation among young readers, and the hunger for the fastest news, 24/7. Newspapers and their effect on society are indispensable. Newspapers, staffed by hard-working, truth-seeking reporters who aren’t afraid of doing whatever it takes to bring justice, earned the title …
Fine-Tuning Daria: Exploring The Implications Of Temperature, Epochs, & Corpus Size On Gpt-2 Screenplay Generation, Rebecca Lawson
Fine-Tuning Daria: Exploring The Implications Of Temperature, Epochs, & Corpus Size On Gpt-2 Screenplay Generation, Rebecca Lawson
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
GPT-2 has a number of hyper parameters that can be tuned to adjust the generated text, including temperature, number of epochs, size of the training text corpus, batch size, and number of samples generated. Since GPT-2 is a new AI model, the effects of fine-tuning are still relatively unknown and unexplored. This paper summits experiments adjusting these GPT-2 parameters and how they affect the text output that the model generates.
The Gpt-2 Historian: Can A Language Model Write History, Grant Holt
The Gpt-2 Historian: Can A Language Model Write History, Grant Holt
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
Since the days of the ancient Greek historian Herodotus, credited as being the author of the first great narrative history, the field of history has been a distinctly human craft. The rise of the GPT-2 language model, however, presents a new and exciting question: can a transformer-based language model write history? The answer, as demonstrated by my findings, is complicated. History is both subjective and constantly changing. There are multiple schools of thought — such as cultural history, social history, environmental history, and economic history — each with conflicting methodologies as to how history is to be written and understood. …
Reducing Fraud, Waste, And Abuse In International Aid Supply Chains Using Blockchain, Ilana Blackwood
Reducing Fraud, Waste, And Abuse In International Aid Supply Chains Using Blockchain, Ilana Blackwood
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
Supply chains are an integral part of manufacturing, disaster management, charity, as well as many other sectors. Currently, supply chains are susceptible to many potential inefficiencies. For example, supply chains are prone to be affected by fraud, waste and abuse. Hence, this project seeks to explain how the implementation of smart contracts and block coupled with Internet of Things (IoT) to solve the inefficiencies currently existing within the supply chain, using development aid as an example.
Using Rl To Predict Crypto And The Effect Of Covid-19, Anav Dutt
Using Rl To Predict Crypto And The Effect Of Covid-19, Anav Dutt
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
The stock market has always been subject to speculation. Oftentimes it is volatile but it is still an important mode of investment for many people. It carries great weight and is reflective of the performance of an economy. In macroeconomic courses in college, students are taught that in times of crises, CASH is KING, not assets in the market. Naturally, one would assume the COVID-19 pandemic would cause people to flock to holding monetary assets in cash. However, recently, as a result of the pandemic there has been a rise in the demand for cryptocurrencies. This might be because people …
Digitizing Camp: Training A Gpt-2 On "The Rocky Horror Picture Show", Sarah Groustra
Digitizing Camp: Training A Gpt-2 On "The Rocky Horror Picture Show", Sarah Groustra
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
“A sensibility (as distinct from an idea) is one of the hardest things to talk about; but there are special reasons why Camp, in particular, has never been discussed. It is not a natural mode of sensibility, if there be any such. Indeed the essence of Camp is its love of the unnatural: of artifice and exaggeration.” –Susan Sontag, Notes on Camp (1964) Sontag, whose essay was (and continues to be) revolutionary, would perhaps blanche at the way the word “camp” has entered the wide vernacular of common slang. In her writing, she defines Camp as something ephemeral and whimsical, …
Image Generation Through Stylegans: Is It Art?, Sophie Dodd
Image Generation Through Stylegans: Is It Art?, Sophie Dodd
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
I wanted to explore how the role of artificial intelligence is developing within the art world and how current attitudes surrounding AI as a creative tool are changing. I want to experiment with AI generated images using GANs and then seek feedback on them from art and non-art students alike before telling them that they had been generated by an AI. I focused my research on examining the emotional responses people had to AI generated art and the overall question of “can an AI make art?”
Guns In D.C. Appellate Court: Sentiment Analysis On Opinions From The Court Of Appeals For The D.C. Circuit, Grace Peterson, Jon Chun, Katherine Elkins
Guns In D.C. Appellate Court: Sentiment Analysis On Opinions From The Court Of Appeals For The D.C. Circuit, Grace Peterson, Jon Chun, Katherine Elkins
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
No abstract provided.
Creating Art Using Generative Adversarial Networks, Henry Abbott
Creating Art Using Generative Adversarial Networks, Henry Abbott
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
I set out to explore how artificial intelligence generated artwork compares to human created artwork. Using CycleGANs, my goal was to create art, and then conduct a Turing Test in order to determine whether or not one could distinguish between A.I. and human art. Using this test, as well as my own observations, I planned to analyze where CycleGANs succeeds in creating art, as well as where it struggles. Following this analysis, I thought more about what the results mean for art moving forward, and if artificial intelligence can truly create art.
Using Machine Learning To Predict Mlb Success Based On Milb Performance, Alexander Gow
Using Machine Learning To Predict Mlb Success Based On Milb Performance, Alexander Gow
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
In 2017 alone Major League Baseball organizations spent a combined 492 million dollars on acquiring new, young, talented players through the draft or signing international free agents. The effectiveness of an MLB organization’s scouting department is pertinent to ensuring future success. Due to the highly volatile nature of professional sports, identifying a predictive and measurable statistic(s) associated with success among players would be valuable. Furthermore, a team’s ability to quickly and correctly identify players on their Minor League affiliates that will have a positive impact at the Major League level can give them an advantage over other teams. For this …
Analyzing Popular Music Using Spotify’S Machine Learning Audio Features, Noah Amsterdam
Analyzing Popular Music Using Spotify’S Machine Learning Audio Features, Noah Amsterdam
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
The modern ability to stream music using services such as Spotify, Pandora, and Apple music has revolutionized how it is consumed. There is now more music accessible at our fingertips than ever before in history. As someone who has played an instrument their whole life and with some music theory knowledge, I always strive to better understand what I’m listening to. This motivated me to dive into finding out how music is quantified, specifically on Spotify, and what makes up people’s musical taste. I will be approaching music tastes from 3 angles: Spotify, music critics, and my own analysis and …
Generating 3d Sculptures Using A Recurrent Neural Network With Long Short-Term Memory, Nick Downey
Generating 3d Sculptures Using A Recurrent Neural Network With Long Short-Term Memory, Nick Downey
IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
Sophisticated generative models have been some of the most obviously impressive achievements of AI in the past decade. Indeed, AI has approached or achieved human-level performance in a variety of domains, with a particular focus placed on artistic disciplines. Because writing a value function for this kind of model is effectively impossible, these models are notoriously difficult to evaluate. My aim was to create such a model, and in doing so elucidate the characteristics of successful generative AI and explore how generative models can be adapted successfully to new domains. And more broadly, I hoped to create a model capable …