DeepMind Blog

Gemini for Science: AI experiments and tools for a new era of discovery

A collection of science tools and experiments to expand the scale and precision of scientific exploration.

arXiv AI
5d ago

Training AI Scientists to Replicate Research

arXiv:2608. 13331v1 Announce Type: cross Abstract: The replicability of papers is a cornerstone of scientific knowledge, ensuring the reliability of existing results and providing a base for further experiments.

By Damon Falck, Samer Sabri, Anja Surina, Thom Foster, Anya Sims, Sam Devlin, Dylan Rogers, Tantum Collins, Kaloyan Aleksiev, Louis Kirsch, Edward Hughes
arXiv AI
Aug 5

Towards a new paradigm of scientific discovery with socialized artificial intelligence

arXiv:2608. 02775v1 Announce Type: new Abstract: Scientific discovery has advanced through successive transformations in the organization of knowledge.

By Xinjie Yao, Xingxin Xu, Xiyuan Gao, Zhoupeng Guo, Kunlong Yang, Dengyu Zhao, Siqi Zhao, Zhihe Fan, Yichen Dong, Xin Li, Jiekang Feng, Jiahe Wu, Sen Wang, Beiming Yu, Kejia Zhao, Ruipu Zhao, Jiaqi Zhou, Heyang Li, Jianjun Chen, Anbo Dai, Xin Liu, Zhengtao Yu, Qinghua Hu, Pengfei Zhu
Hugging Face Trending Papers
Jul 30

Can AI Follow In Einstein's Footsteps?

AI is accelerating physics discovery, but perhaps away from Einstein-level theory building. To understand this gap, we must recognize a striking trend: while being very successful, the most visible AI contributions to physics discovery appear to mirror the historical development of physics, but in reverse.