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An international team of scientists creates AI for scientific research based on ChatGPT technology.
An international team of scientists, including specialists from the University of Cambridge, has launched a research project to create an AI-based tool for scientific discovery. This tool will be based on the same technology as ChatGPT.
While ChatGPT works with text, the new AI will be trained on numerical data and physics simulations from various scientific fields. This will help scientists model objects from supergiant stars to Earth's climate.
The project was named Polymathic AI and was presented along with the publication of a number of related works on the open access repository arXiv ( 1, 2, 3). Shirley Ho, group leader at the Flatiron Institute's Center for Computational Astrophysics, said:: "This will completely change how people use AI and machine learning in science."
One of the main ideas of Polymathic AI is that using large pre-trained models can be faster and more accurate than creating a scientific model from scratch.
The Polymathic AI team brought together researchers from the Simons Foundation, its Flatiron Institute, the University of Cambridge, Princeton University, and Lawrence Berkeley National Laboratory. The team consists of experts in physics, astrophysics, mathematics, artificial intelligence and neuroscience.
The project is aimed at studying data from various sources in physics and astrophysics, and in the future - in chemistry and genomics. The goal is to apply interdisciplinary knowledge to a wide range of scientific problems.
At the same time, despite the known limitations of ChatGPT in accuracy (for example, incorrect multiplication of numbers), the Polymathic AI project plans to avoid many such problems.
Shirley Ho emphasized the transparency and openness of the project: "We want to make everything public. We want to democratize AI for science in such a way that in a few years we will provide the community with a pre-trained model that can improve scientific analysis in various fields."
An international team of scientists, including specialists from the University of Cambridge, has launched a research project to create an AI-based tool for scientific discovery. This tool will be based on the same technology as ChatGPT.
While ChatGPT works with text, the new AI will be trained on numerical data and physics simulations from various scientific fields. This will help scientists model objects from supergiant stars to Earth's climate.
The project was named Polymathic AI and was presented along with the publication of a number of related works on the open access repository arXiv ( 1, 2, 3). Shirley Ho, group leader at the Flatiron Institute's Center for Computational Astrophysics, said:: "This will completely change how people use AI and machine learning in science."
One of the main ideas of Polymathic AI is that using large pre-trained models can be faster and more accurate than creating a scientific model from scratch.
The Polymathic AI team brought together researchers from the Simons Foundation, its Flatiron Institute, the University of Cambridge, Princeton University, and Lawrence Berkeley National Laboratory. The team consists of experts in physics, astrophysics, mathematics, artificial intelligence and neuroscience.
The project is aimed at studying data from various sources in physics and astrophysics, and in the future - in chemistry and genomics. The goal is to apply interdisciplinary knowledge to a wide range of scientific problems.
At the same time, despite the known limitations of ChatGPT in accuracy (for example, incorrect multiplication of numbers), the Polymathic AI project plans to avoid many such problems.
Shirley Ho emphasized the transparency and openness of the project: "We want to make everything public. We want to democratize AI for science in such a way that in a few years we will provide the community with a pre-trained model that can improve scientific analysis in various fields."
