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
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