ChatGPT-Like AI Tool Is Here To Change How People Use AI, ML In Science; Things To Know About New Buzz Maker – Jagran English

A group of scientists launched 'Polymathic AI' that runs on the same tech infrastructure as ChatGPT. According to the University of Cambridge, the AI-powered tool will help in scientific discovery. This tool would be trained on numerical problems and physics across a wide range of scientific fields to aid the study of everything from stars to the climatography of the Earth.
OpenAI’s ChatGPT is an AI tool the tech industry is well versed in. While the company continues to polish the capabilities of the viral language model, the underlying tech is aiding tech advancements in several parts of the world. In the latest case, a group of scientists launched ‘Polymathic AI’ that runs on the same tech infrastructure as ChatGPT.
According to the University of Cambridge, the AI-powered tool will help in scientific discovery. This tool would be trained on numericals and physics across a wide range of scientific fields to aid the study of everything from stars to the climatography of the Earth. Polymathic AI was launched this week with the aim of changing how people use AI models in the field of science.
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“This will completely change how people use AI and machine learning in science,” said Shirley Ho, principal investigator of Polymathic AI. The idea is “similar to how it’s easier to learn a new language when you already know five languages,” Ho added. Trained on a foundation model, the AI tool can present “commonalities and connections between different fields” that humans might miss, according to Siavash Golkar, the co-investigator of the AI innovation.

Multi-dimensional science data shall be applied to get answers to scientific problems from the AI model. (Image:Unsplash)
The researchers include members from the Simons Foundation and its Flatiron Institute, the University of Cambridge, New York University, Lawrence Berkeley National Laboratory and Princeton University. They come from diverse fields including mathematics, physics, neuroscience, astrophysics and AI.
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The AI project will be trained on data from physics and astrophysics. Chemistry and genomics will follow later, according to the post. This multi-dimensional data shall be applied to get answers to scientific problems. The model aims to address some of the pitfalls of ChatGPT, such as accuracy.

“We want to democratise AI for science in such a way that, in a few years, we’ll be able to serve a pre-trained model to the community that can help improve scientific analyses across a wide variety of problems and domains,” Ho stated.

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