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
Artificial Intelligence without Restriction Surpassing Human Intelligence with Probability One: Theoretical Insight into Secrets of the Brain with AI Twins of the Brain
Guang-Bin Huang, M. Brandon Westover, Eng-King Tan, Haibo Wang, Dongshun Cui, Wei-Ying Ma, Tiantong Wang, Qi He, Haikun Wei, Ning Wang, Qiyuan Tian, Kwok-Yan Lam, Xin Yao, Tien Yin Wong
Large Language Models show both individual and collective creativity comparable to humans
Luning Sun, Yuzhuo Yuan, Yuan Yao, Yanyan Li, Hao Zhang, Xing Xie, Xiting Wang, Fang Luo, David Stillwell
Block MedCare: Advancing healthcare through blockchain integration with AI and IoT
Oliver Simonoski, Dijana Capeska Bogatinoska
On the Privacy, Security, and Trustworthy for Distributed Wireless Large AI Model (WLAM)
Zhaohui Yang, Wei Xu, Le Liang, Yuanhao Cui, Zhijin Qin, Merouane Debbah
Shaping AI's Impact on Billions of Lives
Mariano-Florentino Cuéllar, Jeff Dean, Finale Doshi-Velez, John Hennessy, Andy Konwinski, Sanmi Koyejo, Pelonomi Moiloa, Emma Pierson, David Patterson
Selective Reviews of Bandit Problems in AI via a Statistical View
Pengjie Zhou, Haoyu Wei, Huiming Zhang
Analyzing the Impact of AI Tools on Student Study Habits and Academic Performance
Ben Ward, Deepshikha Bhati, Fnu Neha, Angela Guercio
ILASH: A Predictive Neural Architecture Search Framework for Multi-Task Applications
Md Hafizur Rahman, Md Mashfiq Rizvee, Sumaiya Shomaji, Prabuddha Chakraborty
NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers?
Christoph Leiter, Jonas Belouadi, Yanran Chen, Ran Zhang, Daniil Larionov, Aida Kostikova, Steffen Eger
Human-centred test and evaluation of military AI
David Helmer, Michael Boardman, S. Kate Conroy, Adam J. Hepworth, Manoj Harjani
The Evolution and Future Perspectives of Artificial Intelligence Generated Content
Chengzhang Zhu, Luobin Cui, Ying Tang, Jiacun Wang
The Reality of AI and Biorisk
Aidan Peppin, Anka Reuel, Stephen Casper, Elliot Jones, Andrew Strait, Usman Anwar, Anurag Agrawal, Sayash Kapoor, Sanmi Koyejo, Marie Pellat, Rishi Bommasani, Nick Frosst, Sara Hooker
Commit0: Library Generation from Scratch
Wenting Zhao, Nan Jiang, Celine Lee, Justin T Chiu, Claire Cardie, Matthias Gallé, Alexander M Rush
Agentic-HLS: An agentic reasoning based high-level synthesis system using large language models (AI for EDA workshop 2024)
Ali Emre Oztas, Mahdi Jelodari
Towards Type Agnostic Cyber Defense Agents
Erick Galinkin, Emmanouil Pountrourakis, Spiros Mancoridis
AI in Education: Rationale, Principles, and Instructional Implications
Eyvind Elstad
Improving Object Detection by Modifying Synthetic Data with Explainable AI
Nitish Mital, Simon Malzard, Richard Walters, Celso M. De Melo, Raghuveer Rao, Victoria Nockles
Misalignments in AI Perception: Quantitative Findings and Visual Mapping of How Experts and the Public Differ in Expectations and Risks, Benefits, and Value Judgments
Philipp Brauner, Felix Glawe, Gian Luca Liehner, Luisa Vervier, Martina Ziefle
Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey
Mridula Vijendran, Jingjing Deng, Shuang Chen, Edmond S. L. Ho, Hubert P. H. Shum