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
Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Coding
Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Laura A. Heymann, Massimiliano Di Penta, Daniel M German, Denys Poshyvanyk
See-Saw Generative Mechanism for Scalable Recursive Code Generation with Generative AI
Ruslan Idelfonso Magaña Vsevolodovna
Anatomy-Guided Radiology Report Generation with Pathology-Aware Regional Prompts
Yijian Gao, Dominic Marshall, Xiaodan Xing, Junzhi Ning, Giorgos Papanastasiou, Guang Yang, Matthieu Komorowski
Generative AI in Multimodal User Interfaces: Trends, Challenges, and Cross-Platform Adaptability
J. Bieniek, M. Rahouti, D. C. Verma
AI and the Future of Work in Africa White Paper
Jacki O'Neill, Vukosi Marivate, Barbara Glover, Winnie Karanu, Girmaw Abebe Tadesse, Akua Gyekye, Anne Makena, Wesley Rosslyn-Smith, Matthew Grollnek, Charity Wayua, Rehema Baguma, Angel Maduke, Sarah Spencer, Daniel Kandie, Dennis Ndege Maari, Natasha Mutangana, Maxamed Axmed, Nyambura Kamau, Muhammad Adamu, Frank Swaniker, Brian Gatuguti, Jonathan Donner, Mark Graham, Janet Mumo, Caroline Mbindyo, Charlette N'Guessan, Irene Githinji, Lesego Makhafola, Sean Kruger, Olivia Etyang, Mulang Onando, Joe Sevilla, Nanjira Sambuli, Martin Mbaya, Paul Breloff, Gideon M. Anapey, Tebogo L. Mogaleemang, Tiyani Nghonyama, Muthoni Wanyoike, Bhekani Mbuli, Lawrence Nderu, Wambui Nyabero, Uzma Alam, Kayode Olaleye, Caroline Njenga, Abigail Sellen, David Kairo, Rutendo Chabikwa, Najeeb G. Abdulhamid, Ketry Kubasu, Chinasa T. Okolo, Eugenia Akpo, Joel Budu, Issa Karambal, Joseph Berkoh, William Wasswa, Muchai Njagwi, Rob Burnet, Loise Ochanda, Hanlie de Bod, Elizabeth Ankrah, Selemani Kinyunyu, Mutembei Kariuki, Angel Maduke, Kizito Kiyimba, Farida Eleshin, Lillian Secelela Madeje, Catherine Muraga, Ida Nganga, Judy Gichoya, Tabbz Maina, Samuel Maina, Muchai Mercy, Millicent Ochieng, Stephanie Nyairo et al. (26 additional authors not shown) You must enabled JavaScript to view entire author list.
Generative AI for Data Augmentation in Wireless Networks: Analysis, Applications, and Case Study
Jinbo Wen, Jiawen Kang, Dusit Niyato, Yang Zhang, Jiacheng Wang, Biplab Sikdar, Ping Zhang
DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach
Xin Tang, Qian Chen, Wenjie Weng, Binhan Liao, Jiacheng Wang, Xianbin Cao, Xiaohuan Li
Enhancing Security Control Production With Generative AI
Chen Ling, Mina Ghashami, Vianne Gao, Ali Torkamani, Ruslan Vaulin, Nivedita Mangam, Bhavya Jain, Farhan Diwan, Malini SS, Mingrui Cheng, Shreya Tarur Kumar, Felix Candelario
Understanding Generative AI in Robot Logic Parametrization
Yuna Hwang, Arissa J.Sato, Pragathi Praveena, Nathan Thomas White, Bilge Mutlu
Knowledge Graphs of Driving Scenes to Empower the Emerging Capabilities of Neurosymbolic AI
Ruwan Wickramarachchi, Cory Henson, Amit Sheth
[Vision Paper] PRObot: Enhancing Patient-Reported Outcome Measures for Diabetic Retinopathy using Chatbots and Generative AI
Maren Pielka, Tobias Schneider, Jan Terheyden, Rafet Sifa
Generative Artificial Intelligence Meets Synthetic Aperture Radar: A Survey
Zhongling Huang, Xidan Zhang, Zuqian Tang, Feng Xu, Mihai Datcu, Junwei Han