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
Multimodality of AI for Education: Towards Artificial General Intelligence
Gyeong-Geon Lee, Lehong Shi, Ehsan Latif, Yizhu Gao, Arne Bewersdorff, Matthew Nyaaba, Shuchen Guo, Zihao Wu, Zhengliang Liu, Hui Wang, Gengchen Mai, Tiaming Liu, Xiaoming Zhai
Guardians of Trust: Navigating Data Security in AIOps through Vendor Partnerships
Subhadip Kumar
NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers?
Ran Zhang, Aida Kostikova, Christoph Leiter, Jonas Belouadi, Daniil Larionov, Yanran Chen, Vivian Fresen, Steffen Eger
Artificial Intelligence in the automatic coding of interviews on Landscape Quality Objectives. Comparison and case study
Mario Burgui-Burgui
Generative Network Layer for Communication Systems with Artificial Intelligence
Mathias Thorsager, Israel Leyva-Mayorga, Beatriz Soret, Petar Popovski
Emissions Reporting Maturity Model: supporting cities to leverage emissions-related processes through performance indicators and artificial intelligence
Victor de A. Xavier, Felipe M. G. França, Priscila M. V. Lima
Classification of Human- and AI-Generated Texts for English, French, German, and Spanish
Kristina Schaaff, Tim Schlippe, Lorenz Mindner
Understanding Teacher Perspectives and Experiences after Deployment of AI Literacy Curriculum in Middle-school Classrooms
Prerna Ravi, Annalisa Broski, Glenda Stump, Hal Abelson, Eric Klopfer, Cynthia Breazeal
Thermodynamic Computing System for AI Applications
Denis Melanson, Mohammad Abu Khater, Maxwell Aifer, Kaelan Donatella, Max Hunter Gordon, Thomas Ahle, Gavin Crooks, Antonio J. Martinez, Faris Sbahi, Patrick J. Coles
Playing Large Games with Oracles and AI Debate
Xinyi Chen, Angelica Chen, Dean Foster, Elad Hazan
Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies
Pengcheng Chen, Ziyan Huang, Zhongying Deng, Tianbin Li, Yanzhou Su, Haoyu Wang, Jin Ye, Yu Qiao, Junjun He
AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform
Dandan Qiao, Huaxia Rui, Qian Xiong
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