Filter By
IMPACT members examine the impact of generative large language models (LLMs) on NASA’s open science initiative.
NASA's Satellite Needs Working Group facilitates the decision-making process for determining the types of data and processing tools that might be most useful to a wide variety of federal agencies.
IMPACT researchers leverage machine learning to study the physiological changes that occur as a consequence of spaceflight.
Computer scientist Iksha Gurung uses algorithms to blaze trails for Earth science researchers.
Foundation models represent a new paradigm of creating artificial intelligence systems.
NASA Worldview on mobile devices offers much of the same functionality.
Harmonized Landsat Sentinel-2 (HLS) data help scientists and decision makers address the impact of natural disasters.
The beta version of the Catalog of Suborbital Earth Science Investigations (CASEI) launched in June of 2021.
IMPACT team members will present at the 103rd American Meteorological Society Annual Meeting.
IMPACT’s machine learning team developed an industry-standard language model for Earth science based on transformers.