Generative AI
Generative AI focuses on creating new content, ranging from text and images to code and even simulations of complex systems like fluid flows, primarily using large language models (LLMs) and generative adversarial networks (GANs). Current research emphasizes improving model accuracy, addressing biases and ethical concerns, and exploring effective human-AI collaboration in diverse applications like education, healthcare, and software development. This rapidly evolving field holds significant potential to accelerate scientific discovery and transform various industries by automating tasks, generating insights from large datasets, and personalizing services.
Papers
AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks
Trystan S. Goetze
From Pampas to Pixels: Fine-Tuning Diffusion Models for Ga\'ucho Heritage
Marcellus Amadeus, William Alberto Cruz Castañeda, André Felipe Zanella, Felipe Rodrigues Perche Mahlow
ChatGPT, Let us Chat Sign Language: Experiments, Architectural Elements, Challenges and Research Directions
Nada Shahin, Leila Ismail
Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks
Eleonora Grassucci, Jihong Park, Sergio Barbarossa, Seong-Lyun Kim, Jinho Choi, Danilo Comminiello
Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity
Nia Nixon, Yiwen Lin, Lauren Snow
AI and Generative AI for Research Discovery and Summarization
Mark Glickman, Yi Zhang
Anatomy of Neural Language Models
Majd Saleh, Stéphane Paquelet
Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection
Georgios Fatouros, Konstantinos Metaxas, John Soldatos, Dimosthenis Kyriazis
Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors
Sanjit Kakarla, Danielle Thomas, Jionghao Lin, Shivang Gupta, Kenneth R. Koedinger
Controllable Image Synthesis of Industrial Data Using Stable Diffusion
Gabriele Valvano, Antonino Agostino, Giovanni De Magistris, Antonino Graziano, Giacomo Veneri