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The Report Generation Tool tool is based on the Algorithm Publication Tool’s (APT) framework and provides an interface for assessment teams to collaboratively curate standardized reports.
IMPACT members explore how large language models may influence how scientific output is accessed and legitimized.
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.
The Science Discovery Engine provides an infrastructure for vast quantities of NASA science information to be available and searchable in a single location.
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.