I was looking at this specific example of the SWOT program - Surface Water and Ocean Topography. If you think about how hard it is to find photos in your photo album, about specific events or activities, we can apply similar types of AI to do similarity searches for interesting events in this giant pile of data.Īdams: I want to try to help people wrap their heads around this by having you walk me through this data story of a mission. The second thing is that we can, especially with these very large amounts of data, remove some of the burden from the users of having to download the information and then you and kind of organize and manage it themselves. One we can take advantage of new types of technologies like or machine learning in those environments a bit more easily. Murphy: We’re doing that for a variety of different reasons. Kimberly Adams: Part of this is you’re moving a lot of NASA’s data from various physical locations that are run and controlled by NASA and universities into the cloud. That information has so many other purposes that we need to make it broadly available. But this information is freely and openly available for anybody to use to conduct citizen science activities, to help plan how we work within an environment, how we make new discoveries on Mars, or from the sun. Kevin Murphy: So, we launched missions to address very specific science questions, so that’s one type of user.
0 kommentar(er)
