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With recent Nobel Prizes recognising AI contributions to science, Large Language Models (LLMs) are transforming scientific research by enhancing productivity and reshaping the scientific method. LLMs are now involved in experimental design,…

Scientific discovery is a complex cognitive process that has driven human knowledge and technological progress for centuries. While artificial intelligence (AI) has made significant advances in automating aspects of scientific reasoning,…

Machine Learning · Computer Science 2024-12-24 Chandan K Reddy , Parshin Shojaee

The emergence of large language models (LLMs) is propelling automated scientific discovery to the next level, with LLM-based Artificial Intelligence (AI) Scientist systems now taking the lead in scientific research. Several influential…

Artificial Intelligence · Computer Science 2025-08-04 Qiujie Xie , Yixuan Weng , Minjun Zhu , Fuchen Shen , Shulin Huang , Zhen Lin , Jiahui Zhou , Zilan Mao , Zijie Yang , Linyi Yang , Jian Wu , Yue Zhang

Recent advances in machine learning and AI, including Generative AI and LLMs, are disrupting technological innovation, product development, and society as a whole. AI's contribution to technology can come from multiple approaches that…

With the advent of large multimodal language models, science is now at a threshold of an AI-based technological transformation. An emerging ecosystem of models and tools aims to support researchers throughout the scientific lifecycle,…

Large Language Models (LLMs) are catalyzing a paradigm shift in scientific discovery, evolving from task-specific automation tools into increasingly autonomous agents and fundamentally redefining research processes and human-AI…

Computation and Language · Computer Science 2025-09-18 Tianshi Zheng , Zheye Deng , Hong Ting Tsang , Weiqi Wang , Jiaxin Bai , Zihao Wang , Yangqiu Song

Given the remarkable performance of Large Language Models (LLMs), an important question arises: Can LLMs conduct human-like scientific research and discover new knowledge, and act as an AI scientist? Scientific discovery is an iterative…

Machine Learning · Computer Science 2025-02-24 Tingting Chen , Srinivas Anumasa , Beibei Lin , Vedant Shah , Anirudh Goyal , Dianbo Liu

Artificial intelligence and machine learning are reshaping how we approach scientific discovery, not by replacing established methods but by extending what researchers can probe, predict, and design. In this roadmap we provide a…

Artificial intelligence (AI) has been increasingly applied in scientific activities for decades; however, it is still far from an insightful and trustworthy collaborator in the scientific process. Most existing AI methods are either too…

Artificial Intelligence · Computer Science 2022-02-08 Morad Behandish , John Maxwell , Johan de Kleer

Hypothesis generation is a fundamental step in scientific discovery, yet it is increasingly challenged by information overload and disciplinary fragmentation. Recent advances in Large Language Models (LLMs) have sparked growing interest in…

Large language models (LLMs) are increasingly being used for complex research tasks such as literature review, idea generation, and scientific paper analysis, yet their ability to truly understand and process the intricate relationships…

Computation and Language · Computer Science 2025-06-11 Shashidhar Reddy Javaji , Yupeng Cao , Haohang Li , Yangyang Yu , Nikhil Muralidhar , Zining Zhu

Recent advances in large language models (LLMs) have opened new avenues for accelerating scientific research. While models are increasingly capable of assisting with routine tasks, their ability to contribute to novel, expert-level…

Artificial intelligence (AI) models trained on published scientific findings have been used to invent valuable materials and targeted therapies, but they typically ignore the human scientists who continually alter the landscape of…

Artificial Intelligence · Computer Science 2023-06-05 Jamshid Sourati , James Evans

The powerful reasoning capabilities of Large Language Models (LLMs) in mathematics and coding, combined with their ability to automate complex tasks through agentic frameworks, present unprecedented opportunities for accelerating scientific…

Artificial Intelligence · Computer Science 2025-05-27 Jiabin Tang , Lianghao Xia , Zhonghang Li , Chao Huang

Recent years have seen the dramatic rise of the usage of AI algorithms in pure mathematics and fundamental sciences such as theoretical physics. This is perhaps counter-intuitive since mathematical sciences require the rigorous definitions,…

History and Overview · Mathematics 2024-08-07 Yang-Hui He

The integration of Agentic AI into scientific discovery marks a new frontier in research automation. These AI systems, capable of reasoning, planning, and autonomous decision-making, are transforming how scientists perform literature…

Computation and Language · Computer Science 2025-03-13 Mourad Gridach , Jay Nanavati , Khaldoun Zine El Abidine , Lenon Mendes , Christina Mack

As scientific research becomes increasingly complex, innovative tools are needed to manage vast data, facilitate interdisciplinary collaboration, and accelerate discovery. Large language models (LLMs) are now evolving into LLM-based…

Artificial Intelligence · Computer Science 2026-02-03 Shuo Ren , Can Xie , Pu Jian , Zhenjiang Ren , Chunlin Leng , Jiajun Zhang

The emergence of Artificial Intelligence (AI) Scientist represents a paradigm shift in scientific discovery, with large language models (LLMs) taking the lead as the primary executor in the entire scientific workflow from idea generation to…

Artificial Intelligence · Computer Science 2025-06-10 Minjun Zhu , Qiujie Xie , Yixuan Weng , Jian Wu , Zhen Lin , Linyi Yang , Yue Zhang

Artificial intelligence (AI) and large language models (LLM) are reshaping science, with most recent advances culminating in fully-automated scientific discovery pipelines. But qualitative research has been left behind. Researchers in…

Artificial Intelligence · Computer Science 2025-11-13 Stine Beltoft , Lukas Galke

Artificial intelligence systems are transforming scientific discovery by accelerating specific research tasks, from protein structure prediction to materials design, yet remain confined to narrow domains requiring substantial human…

Artificial Intelligence · Computer Science 2026-01-30 Gabrielle Wehr , Reuben Rideaux , Amaya J. Fox , David R. Lightfoot , Jason Tangen , Jason B. Mattingley , Shane E. Ehrhardt
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