Artificial Intelligence
Artificial intelligence (AI) research focuses on creating systems capable of performing tasks that typically require human intelligence, with current efforts concentrating on improving model alignment with human values, enhancing transparency and accountability in AI systems, and mitigating risks associated with bias and malicious use. Prominent approaches involve large language models (LLMs), deep learning architectures like nnU-Net, and reinforcement learning techniques, often applied within specific domains such as healthcare, cybersecurity, and scientific research. The widespread adoption of AI across diverse fields necessitates rigorous investigation into its ethical implications, safety, and societal impact, driving ongoing research to develop more robust, reliable, and responsible AI systems.
Papers
Teenagers and Artificial Intelligence: Bootcamp Experience and Lessons Learned
Uzay Macar, Blake Castleman, Noah Mauchly, Michael Jiang, Asma Aouissi, Salma Aouissi, Xena Maayah, Kaan Erdem, Rohith Ravindranath, Andrea Clark-Sevilla, Ansaf Salleb-Aouissi
Improving Automated Algorithm Selection by Advancing Fitness Landscape Analysis
Raphael Patrick Prager
LExCI: A Framework for Reinforcement Learning with Embedded Systems
Kevin Badalian, Lucas Koch, Tobias Brinkmann, Mario Picerno, Marius Wegener, Sung-Yong Lee, Jakob Andert
DanZero+: Dominating the GuanDan Game through Reinforcement Learning
Youpeng Zhao, Yudong Lu, Jian Zhao, Wengang Zhou, Houqiang Li
From Lab to Field: Real-World Evaluation of an AI-Driven Smart Video Solution to Enhance Community Safety
Shanle Yao, Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Lauren Bourque, Hamed Tabkhi
Intrusion Detection System with Machine Learning and Multiple Datasets
Haiyan Xuan, Mohith Manohar
Synthetic Data Generation Techniques for Developing AI-based Speech Assessments for Parkinson's Disease (A Comparative Study)
Mahboobeh Parsapoor
Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence
Stephanie Baker, Wei Xiang
aoip.ai: An Open-Source P2P SDK
Joseph Konan, Shikhar Agnihotri, Chia-Chun Hsieh
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games
Dekun Wu, Haochen Shi, Zhiyuan Sun, Bang Liu
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method
Wahidul Hasan Abir, Md. Fahim Uddin, Faria Rahman Khanam, Mohammad Monirujjaman Khan
Brain-Inspired Machine Intelligence: A Survey of Neurobiologically-Plausible Credit Assignment
Alexander G. Ororbia
AI in Pharma for Personalized Sequential Decision-Making: Methods, Applications and Opportunities
Yuhan Li, Hongtao Zhang, Keaven Anderson, Songzi Li, Ruoqing Zhu
Anatomy and Physiology of Artificial Intelligence in PET Imaging
Tyler J. Bradshaw, Alan B. McMillan
Search Still Matters: Information Retrieval in the Era of Generative AI
William R. Hersh
Investigating Collaborative Data Practices: a Case Study on Artificial Intelligence for Healthcare Research
Rafael Henkin, Elizabeth Remfry, Duncan J. Reynolds, Megan Clinch, Michael R. Barnes
Navigating Privacy and Copyright Challenges Across the Data Lifecycle of Generative AI
Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu