@elin22y: #kurdish #syria🇸🇾

𝓔𝓵𝓲𝓷 𐙚 ايلـيـن
𝓔𝓵𝓲𝓷 𐙚 ايلـيـن
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Monday 31 August 2026 15:07:21 GMT
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ABDULRHMAN ALATEKI :
كلهم الي ولله ما بتقصري ياعمري
2026-08-31 20:35:08
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nbv_350
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اموححححححح
2026-09-01 02:43:57
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2.c6w
Али :
هي بوسات الي؟
2026-09-01 00:04:42
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zahrra_3laa
زهَـراء الطرفـي :
ولجج خربيومج تموتتين
2026-08-31 17:36:03
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vf_pv
45 :
اوللل وش هديتي بسرعه
2026-08-31 15:09:14
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kj.s8_
اتابع بس الصاگات🫦✨ :
الستوري حلو؟،
2026-08-31 17:23:11
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_.hahd._
سند🇪🇸🥷 :
حلوة بس عليها زحمة
2026-09-01 00:55:37
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r_05sy
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اومحححح💋💋
2026-08-31 16:25:43
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1.shx0
شـريُان 🍒 :
نريد الفلتر
2026-08-31 22:10:46
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lost :
حبيبتي بالقرأن الدنيا حاره.
2026-08-31 18:20:24
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ahad.943
ع|🇸🇾 :
اولييييي♥️🙃
2026-09-01 01:41:54
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As extreme weather events increase around the world due to climate change, the need for further research into our warming planet has increased as well. For NASA, climate research involves not only conducting studies of these events, but also empowering outside researchers to do the same. The artificial intelligence (AI) efforts spearheaded by the agency offer a powerful tool to accomplish these goals. In 2023, NASA teamed up with IBM Research to create an AI geospatial foundation model. Trained on vast amounts of NASA’s widely used Harmonized Landsat and Sentinel-2 (HLS) data, the model provides a base for a variety of AI-powered studies to tackle environmental challenges. In keeping with open science principles, the model is freely available for anyone to access. Foundation models serve as a baseline from which scientists can develop a diverse set of applications, enabling powerful and efficient solutions. “Foundation models only know what things are represented in the data,” explained Manil Maskey, the data science lead at NASA’s Office of the Chief Science Data Officer (OCSDO). “It’s like a Swiss Army Knife—it can be used for multiple different things.” Once a foundation model is created, it can be trained on a small amount of data to perform a specific task. To date, the Interagency Implementation and Advanced Concept Team (IMPACT) along with collaborators have demonstrated the geospatial foundation model’s capabilities by fine-tuning it to detect burn scars, to delineate flood water, and to classify crop and other land use categories.  Rectangular ponds for shrimp farming line the coast of northern Peru in this image captured on March 14, 2024 by the OLI-2 (Operational Land Imager-2) on Landsat 9. NASA Earth Observatory / Lauren Dauphin Because of the computational resources required to create the initial foundation model, a partnership was necessary for success. In this case, NASA brought the data and scientific knowledge, while IBM brought the computing power and AI algorithm optimization expertise. The team’s shared commitment to making their research accessible through open science principles ensures that their model can be useful to as many researchers as possible.
As extreme weather events increase around the world due to climate change, the need for further research into our warming planet has increased as well. For NASA, climate research involves not only conducting studies of these events, but also empowering outside researchers to do the same. The artificial intelligence (AI) efforts spearheaded by the agency offer a powerful tool to accomplish these goals. In 2023, NASA teamed up with IBM Research to create an AI geospatial foundation model. Trained on vast amounts of NASA’s widely used Harmonized Landsat and Sentinel-2 (HLS) data, the model provides a base for a variety of AI-powered studies to tackle environmental challenges. In keeping with open science principles, the model is freely available for anyone to access. Foundation models serve as a baseline from which scientists can develop a diverse set of applications, enabling powerful and efficient solutions. “Foundation models only know what things are represented in the data,” explained Manil Maskey, the data science lead at NASA’s Office of the Chief Science Data Officer (OCSDO). “It’s like a Swiss Army Knife—it can be used for multiple different things.” Once a foundation model is created, it can be trained on a small amount of data to perform a specific task. To date, the Interagency Implementation and Advanced Concept Team (IMPACT) along with collaborators have demonstrated the geospatial foundation model’s capabilities by fine-tuning it to detect burn scars, to delineate flood water, and to classify crop and other land use categories.  Rectangular ponds for shrimp farming line the coast of northern Peru in this image captured on March 14, 2024 by the OLI-2 (Operational Land Imager-2) on Landsat 9. NASA Earth Observatory / Lauren Dauphin Because of the computational resources required to create the initial foundation model, a partnership was necessary for success. In this case, NASA brought the data and scientific knowledge, while IBM brought the computing power and AI algorithm optimization expertise. The team’s shared commitment to making their research accessible through open science principles ensures that their model can be useful to as many researchers as possible.

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