Today, the Polymathic AI team released two of its open-source training dataset collections to the public — a colossal 115 terabytes in total from dozens of sources — for the scientific community to use to train AI models and enable new scientific discoveries. The datasets include data from dozens of sources, including astrophysics, biology, fluid dynamics, acoustics and chemistry. The Polymathic AI team provides further information about the datasets in two papers accepted for presentation at the leading machine learning conference, NeurIPS, to be held in December in Vancouver, Canada.

New research co-led by the University at Buffalo proposes thinking both big and small to confirm the existence of primordial black holes, suggesting that their signatures could range from very large — hollow planetoids in space — to minute — microscopic tunnels in everyday materials found on Earth, like rocks, metal and glass. 

A significant space weather phenomenon that has attracted much interest from the scientific community, industry, and the general public is geomagnetic storms. In May 2024, a powerful geomagnetic storm occurred, causing substantial changes in Earth upper atmosphere. A research team from the Institute of Geology and Geophysics, Chinese Academy of Sciences, carried out a comprehensive investigation to look into how this superstorm affected different regions of the upper atmosphere. They utilized multiple ground-based and satellite observation instruments to examine the response of the ionosphere-thermosphere coupling system. Earth and Planetary Physics has published the study's results.

Scientists have developed a groundbreaking method to map sandy beach intertidal zones with unprecedented accuracy using satellite data.