Scientists unveil polymathic AI for fresh discoveries
By MYBRANDBOOK
Scientists have unveiled Polymathic AI, a ground-breaking initiative that draws inspiration from ChatGPT's language model and aims to change scientific research by utilizing AI to learn from numerical data and physics simulations across a variety of scientific areas. Shirley Ho is the primary investigator of the project Polymathic AI, which intends to help researchers simulate many subjects.
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.
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.
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. Polymathic AI's project will avoid many of those pitfalls, Ho said, by treating numbers as actual numbers, not just characters on the same level as letters and punctuation. The training data will also use real scientific datasets that capture the physics underlying the cosmos.
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