New ChatGPT-like AI tool for scientific discovery launched

New Delhi: An international team of scientists have launched a new research collaboration that will leverage the same technology behind ChatGPT to build an AI-powered tool for scientific discovery.

While ChatGPT deals in words and sentences, the new initiative, called Polymathic AI, will learn from numerical data and physics simulations from across scientific fields to aid scientists in modeling everything from supergiant stars to the Earth’s climate.

“This will completely change how people use AI and machine learning in science,” said Polymathic AI principal investigator Shirley Ho, a group leader at the Flatiron Institute’s Center for Computational Astrophysics in New York City, US.

The idea behind Polymathic AI “is similar to how it’s easier to learn a new language when you already know five languages,” said Ho.

Starting with a large, pre-trained model, known as a foundation model, can be both faster and more accurate than building a scientific model from scratch.

That can be true even if the training data isn’t obviously relevant to the problem at hand.

“Polymathic AI can show us commonalities and connections between different fields that might have been missed,” said co-investigator Siavash Golkar, a guest researcher at the Flatiron Institute’s Center for Computational Astrophysics.

The Polymathic AI team includes experts in physics, astrophysics, mathematics, artificial intelligence and neuroscience.

Polymathic AI’s project will learn using data from diverse sources across physics and astrophysics (and eventually fields such as chemistry and genomics, its creators say) and apply that multidisciplinary savvy to a wide range of scientific problems.

ChatGPT has well-known limitations when it comes to accuracy.