A group of international scientists, including experts from the University of Cambridge (UK), has launched a research project to create an AI-powered tool specifically for scientific research. This tool will be based on technology similar to ChatGPT.
While ChatGPT works with text, the new AI application will be trained on numerical data and physical simulations across a wide range of scientific fields. This will help scientists model various research objects, from supergiant stars to Earth's climate.
The project is called “Polymathic AI” and was announced at the same time as the publication of several related works on the arXiv open data repository (1, 2, 3).
Shirley Ho, lead researcher at the Flatiron Institute's Center for Computational Astrophysics (USA), said: "This will completely change how people use AI and machine learning in science." One of the core ideas behind "Polymathic AI" is that using large, pre-trained models can be faster and more accurate than building a scientific model from scratch.
The research team has brought together scientists from diverse institutions, including experts in physics, astrophysics, mathematics, AI, and neuroscience. The project aims to study data from multiple sources in physics and astrophysics, and in the future – chemistry and genetic engineering. The goal of the project is to apply multidisciplinary knowledge to diverse scientific problems.
Despite the limitations of the ChatGPT application regarding accuracy (such as in multiplication), the “Polymathic AI” project plans to focus on addressing this issue.
Shirley Ho emphasized the project's transparency and openness: "We want to make everything public, to democratize AI for science. In a few years, we will provide the community with a trained AI model that can improve scientific analytical capabilities in many different fields."
(according to Securitylab)
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