Scientific Research
Scientific research is increasingly leveraging artificial intelligence (AI), particularly large language models (LLMs), to enhance efficiency and productivity across various disciplines. Current research focuses on developing and evaluating AI tools for tasks such as literature review, code generation, data analysis, and even the generation of scientific papers themselves, while simultaneously addressing ethical concerns and potential biases inherent in these models. This integration of AI promises to accelerate scientific discovery and improve reproducibility, but careful consideration of responsible AI development and deployment is crucial to ensure the integrity and fairness of research outcomes.
Papers
From Vocal Instructions to Household Tasks: The Inria Tiago++ in the euROBIN Service Robots Coopetition
Fabio Amadio, Clemente Donoso, Dionis Totsila, Raphael Lorenzo, Quentin Rouxel, Olivier Rochel, Enrico Mingo Hoffman, Jean-Baptiste Mouret, Serena Ivaldi
MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design
Jingyuan Qi, Zian Jia, Minqian Liu, Wangzhi Zhan, Junkai Zhang, Xiaofei Wen, Jingru Gan, Jianpeng Chen, Qin Liu, Mingyu Derek Ma, Bangzheng Li, Haohui Wang, Adithya Kulkarni, Muhao Chen, Dawei Zhou, Ling Li, Wei Wang, Lifu Huang
Perspective of Software Engineering Researchers on Machine Learning Practices Regarding Research, Review, and Education
Anamaria Mojica-Hanke, David Nader Palacio, Denys Poshyvanyk, Mario Linares-Vásquez, Steffen Herbold
Publication Trends in Artificial Intelligence Conferences: The Rise of Super Prolific Authors
Ariful Azad, Afeefa Banu
Discovering emergent connections in quantum physics research via dynamic word embeddings
Felix Frohnert, Xuemei Gu, Mario Krenn, Evert van Nieuwenburg
MatPilot: an LLM-enabled AI Materials Scientist under the Framework of Human-Machine Collaboration
Ziqi Ni, Yahao Li, Kaijia Hu, Kunyuan Han, Ming Xu, Xingyu Chen, Fengqi Liu, Yicong Ye, Shuxin Bai