A new artificial intelligence tool developed by researchers at the University of Hawai‘i (UH) at Mānoa is making it easier for scientists to explore complex geoscience data—from tracking sea levels […]
![(A) Non-local turbulence as a function of Local True Solar Time (LTST) for spring 835 (Sol 200) and autumn (Sol 591) on Mars [reproduced from Figure 2 of Chatain et al. 2021]. (B) 836 Recreated analysis showing non-local turbulence (Pa) as a function of LTST for Sol 200 (blue) 837 and Sol 591 (orange). The turbulence peaks during the daytime, around 12–13 hours LTST, with 838 minimal activity at night. (C) Scatter plots of horizontal wind speed (m/s) as a function of non839 local turbulence (Pa) for Sol 200 (blue) and Sol 591 (orange). Higher wind speeds are associated 840 with increased turbulence, with Sol 591 exhibiting stronger winds overall. [Figure and caption 841 generated by the Mars IDEA.] -- Journal of Geophysical Research: Machine Learning and Computation](https://i0.wp.com/astrobiology.com/wp-content/uploads/2025/08/Tricorder-Tech-IDEA.png?resize=1200%2C719&ssl=1)
A new artificial intelligence tool developed by researchers at the University of Hawai‘i (UH) at Mānoa is making it easier for scientists to explore complex geoscience data—from tracking sea levels […]