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
Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD tool
Harsh Vardhan, Umesh Timalsina, Michael Sandborn, David Hyde, Peter Volgyesi, Janos Sztipanovits
Towards a Science Exocortex
Kevin G. Yager
AI for Equitable Tennis Training: Leveraging AI for Equitable and Accurate Classification of Tennis Skill Levels and Training Phases
Gyanna Gao, Hao-Yu Liao, Zhenhong Hu
Research on Disease Prediction Model Construction Based on Computer AI deep Learning Technology
Yang Lin, Muqing Li, Ziyi Zhu, Yinqiu Feng, Lingxi Xiao, Zexi Chen
US-China perspectives on extreme AI risks and global governance
Akash Wasil, Tim Durgin
The Potential and Perils of Generative Artificial Intelligence for Quality Improvement and Patient Safety
Laleh Jalilian, Daniel McDuff, Achuta Kadambi
Human-AI collectives produce the most accurate differential diagnoses
N. Zöller, J. Berger, I. Lin, N. Fu, J. Komarneni, G. Barabucci, K. Laskowski, V. Shia, B. Harack, E. A. Chu, V. Trianni, R. H. J. M. Kurvers, S. M. Herzog
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
Florin Cuconasu, Giovanni Trappolini, Nicola Tonellotto, Fabrizio Silvestri
AgriLLM: Harnessing Transformers for Farmer Queries
Krish Didwania, Pratinav Seth, Aditya Kasliwal, Amit Agarwal
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
Jonas Dippel, Niklas Prenißl, Julius Hense, Philipp Liznerski, Tobias Winterhoff, Simon Schallenberg, Marius Kloft, Oliver Buchstab, David Horst, Maximilian Alber, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen
How critically can an AI think? A framework for evaluating the quality of thinking of generative artificial intelligence
Luke Zaphir, Jason M. Lodge, Jacinta Lisec, Dom McGrath, Hassan Khosravi
Training Next Generation AI Users and Developers at NCSA
Daniel S. Katz, Volodymyr Kindratenko, Olena Kindratenko, Priyam Mazumdar
An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosis
Reza Elahi, Mahdis Nazari
Does GPT Really Get It? A Hierarchical Scale to Quantify Human vs AI's Understanding of Algorithms
Mirabel Reid, Santosh S. Vempala
Centimeter Positioning Accuracy using AI/ML for 6G Applications
Sai Prasanth Kotturi, Radha Krishna Ganti
AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload
Jonah Ekelund, Ricardo Vinuesa, Yuri Khotyaintsev, Pierre Henri, Gian Luca Delzanno, Stefano Markidis
The Impact of AI on Perceived Job Decency and Meaningfulness: A Case Study
Kuntal Ghosh, Shadan Sadeghian
Leveraging eBPF and AI for Ransomware Nose Out
Arjun Sekar, Sameer G. Kulkarni, Joy Kuri