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
Business and ethical concerns in domestic Conversational Generative AI-empowered multi-robot systems
Rebekah Rousi, Hooman Samani, Niko Mäkitalo, Ville Vakkuri, Simo Linkola, Kai-Kristian Kemell, Paulius Daubaris, Ilenia Fronza, Tommi Mikkonen, Pekka Abrahamsson
Enhancements for 5G NR PRACH Reception: An AI/ML Approach
Rohit Singh, Anil Kumar Yerrapragada, Jeeva Keshav S, Radha Krishna Ganti
What should I say? -- Interacting with AI and Natural Language Interfaces
Mark Adkins
Promises and pitfalls of artificial intelligence for legal applications
Sayash Kapoor, Peter Henderson, Arvind Narayanan
INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges
Jayr Pereira, Andre Assumpcao, Julio Trecenti, Luiz Airosa, Caio Lente, Jhonatan Cléto, Guilherme Dobins, Rodrigo Nogueira, Luis Mitchell, Roberto Lotufo
Detecting Brain Tumors through Multimodal Neural Networks
Antonio Curci, Andrea Esposito
Can AI Write Classical Chinese Poetry like Humans? An Empirical Study Inspired by Turing Test
Zekun Deng, Hao Yang, Jun Wang
A General-purpose AI Avatar in Healthcare
Nicholas Yan, Gil Alterovitz
AI and Generative AI for Research Discovery and Summarization
Mark Glickman, Yi Zhang
Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection
Georgios Fatouros, Konstantinos Metaxas, John Soldatos, Dimosthenis Kyriazis
From Data to Insights: A Comprehensive Survey on Advanced Applications in Thyroid Cancer Research
Xinyu Zhang, Vincent CS Lee, Feng Liu
Bridging the Skills Gap: Evaluating an AI-Assisted Provider Platform to Support Care Providers with Empathetic Delivery of Protocolized Therapy
William R. Kearns, Jessica Bertram, Myra Divina, Lauren Kemp, Yinzhou Wang, Alex Marin, Trevor Cohen, Weichao Yuwen
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital Twins
João Borges, Felipe Bastos, Ilan Correa, Pedro Batista, Aldebaro Klautau
Evolution-Bootstrapped Simulation: Artificial or Human Intelligence: Which Came First?
Paul Alexander Bilokon
Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory
Necdet Gurkan, Jordan W. Suchow
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process
Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou
Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education
Zhonghao Shi, Allison O'Connell, Zongjian Li, Siqi Liu, Jennifer Ayissi, Guy Hoffman, Mohammad Soleymani, Maja J. Matarić