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The IMPACT machine learning team is developing the Phenomena Detection Portal, a web tool that utilizes machine learning techniques to detect and catalog atmospheric phenomena such as smoke plumes, high latitude dust events, and transverse cirrus bands in Earth science images.
Blog
Dec. 7, 2023
The machine learning team at IMPACT trained a machine learning model to process data set abstracts. These models suggest relevant metadata keywords by leveraging the ability of Word2Vec models to embed the meaning of words into numeric vectors.
Blog
Dec. 7, 2023
Two IMPACT members joined forces to build a website to coordinate the efforts of a local group of volunteers who are 3D-printing personal protective equipment to help the medical community.
Blog
Dec. 7, 2023
IMPACT's machine learning team has developed Image Labeler, a web-based tool that allows users to create tagged images that can be used to train different machine learning models.
Blog
Dec. 7, 2023
As International Women’s Day occurs in March we decided to look more closely at the experience of women in the sciences.
Blog
Dec. 7, 2023
Dr. Emily Foshee advances our ability to understand and predict mountain gap winds that result from the interaction between the larger scale atmospheric flow and terrain.
Blog
Dec. 7, 2023
Image captured on Dec 4, 2023, by the ABI instrument aboard the GOES-West satellite.
Worldview Image of the Week
Dec. 7, 2023
SWOT data reveals the topography of the ocean surface at finer scales than ever before.
Data in Action
Dec. 7, 2023
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