[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-nasa-ibm-prithvi-on-orbit-geospatial":3,"topics-all":36,"news-related-3de0fc02-b400-4c9a-a613-426b5004b27b":55},{"id":4,"title":5,"summary":6,"content":6,"original_url":7,"source_id":8,"tags":9,"translations":23,"news_slug":29,"published_at":30,"created_at":31,"modified_at":32,"is_published":33,"publish_type":34,"image_url":13,"view_count":35},"3de0fc02-b400-4c9a-a613-426b5004b27b","NASA 和 IBM 的 Prithvi：首个在轨 AI 地理空间基础模型开启遥感新范式","2026年5月，阿德莱德大学与 SmartSat 合作研究中心的团队成功将 NASA 与 IBM 联合开发的开源地理空间基础模型 Prithvi 部署至两颗在轨平台——南澳政府的 Kanyini 卫星及国际空间站的 IMAGIN-e 载荷，成为首个在轨运行的地理空间 AI 基础模型。\n\nPrithvi 基于 Landsat 与 Sentinel-2 卫星 13 年遥感数据训练，具备跨任务泛化能力，可适配洪水监测、云层识别、作物估产等多种下游任务。核心突破在于：传统卫星受带宽限制，上传新模型几乎不可能，而 Prithvi 仅需补充一个小型解码器扩展包即可完成任务适配，大幅降低了在轨更新的门槛。\n\n开源策略同样关键。研究负责人 Dr. Andrew Du 直言：「若 Prithvi 不是开源的，我必须从零训练自己的基础模型。」NASA 与 IBM 的开放路线让全球研究者能快速复用与创新，验证了基础模型理念的价值。\n\nNASA 还计划发布行星科学、天体物理等更多领域的基础模型，继续拓展 AI for Science 的边界。","https:\u002F\u002Fscience.nasa.gov\u002Fscience-research\u002Fai-foundation-model-in-orbit\u002F","13624c51-a5f5-45bf-871b-b74b42216182",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"e676a5cf-1f24-472f-a765-86fa21a1bc3c","ai-model",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"5e628969-6d2a-437f-998a-104e4b16cfb1","ai-progress",{"id":18,"name":19,"slug":19,"description":13,"color":13},"499f4b56-819d-49a3-9609-33e775143b86","multimodal",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":13},"bf02e76b-71c9-4a5c-ba38-093308fd5890","en","NASA and IBM's Prithvi: the first AI geospatial model in orbit","In May 2026, a team from the University of Adelaide in partnership with the SmartSat Cooperative Research Centre successfully deployed Prithvi — the open-source geospatial foundation model jointly developed by NASA and IBM — onto two on-orbit platforms: the South Australian government's Kanyini satellite and the International Space Station's IMAGIN-e payload, making it the first geospatial AI foundation model running in orbit.\n\nPrithvi is trained on 13 years of Landsat and Sentinel-2 satellite remote-sensing data, with cross-task generalization capability that can adapt to flood monitoring, cloud identification, crop yield estimation, and other downstream tasks. The core breakthrough: traditional satellites are bandwidth-limited, making it nearly impossible to upload new models, while Prithvi only needs a small decoder extension pack added to complete task adaptation, dramatically lowering the barrier to on-orbit updates.\n\nThe open-source strategy is equally key. Research lead Dr. Andrew Du stated bluntly: \"If Prithvi weren't open-source, I'd have to train my own foundation model from scratch.\" NASA and IBM's open route lets global researchers quickly reuse and innovate, validating the value of the foundation model concept.\n\nNASA also plans to release more foundation models in planetary science, astrophysics, and other domains, continuing to expand the boundaries of AI for Science.","nasa-ibm-prithvi-on-orbit-geospatial","2026-05-07T11:00:00Z","2026-05-07T19:05:24.336910Z","2026-08-19T02:08:40.142862Z",true,"agent",261,[37,46],{"slug":38,"tag_slug":38,"title_zh":39,"title_en":40,"intro_zh":41,"intro_en":42,"id":43,"is_active":33,"created_at":44,"modified_at":45},"ai-for-science","AI for Science 2026：从 UniPert 到 GPT-Rosalind 的硬核进化","AI for Science 2026: from UniPert to GPT-Rosalind","生命科学、化学材料、物理世界模型——AI 正在从\"语言工具\"变成\"实验伙伴\"。本专题收录 AI 在三大科学方向的关键节点：UniPert 统一基因与化学扰动空间、GPT-Rosalind 端到端生命科学推理、达摩院 AI 智能体 28 小时找到 4 种超导新材料、Anthropic Claude Science 把工作台做成标准品。","From language tool to lab partner — AI is reshaping life sciences, chemistry\u002Fmaterials, and physical world models. This topic covers the key milestones: UniPert unifying genetic-chemical perturbation spaces, GPT-Rosalind's end-to-end life-sciences reasoning, DAMO's AI agent discovering 4 superconducting materials in 28 hours, and Anthropic's Claude Science workbench going mainstream.","988a4300-5fab-41c4-b5d8-63711a2dc757","2026-09-10T01:34:15.296649Z","2026-09-10T01:34:15.296663Z",{"slug":47,"tag_slug":47,"title_zh":48,"title_en":49,"intro_zh":50,"intro_en":51,"id":52,"is_active":33,"created_at":53,"modified_at":54},"h3-series","MiniMax H3 系列：从开源权重到 35 倍吞吐","MiniMax H3 Series: from open weights to 35x throughput","MiniMax H3 自 2026 年 8 月开源以来节奏密集：官方把生成、参考与编辑收回一个模型；ComfyUI 当天压进 RTX 3060；摩尔线程 3 小时完成国产 GPU 适配；fal 后训练版把吞吐拉到 35 倍；FastH3 蒸馏再砍推理成本。本专题持续追踪 H3 的发布—开源—蒸馏—部署全链路。","Since MiniMax open-sourced H3 in August 2026 the pace has been relentless: one unified omni-modal model, same-day ComfyUI support down to an RTX 3060, a 3-hour Day-0 port to Moore Threads GPUs, fal's post-trained H3 Max at 35x throughput, and FastH3 distillation cutting inference cost further. This topic tracks the full H3 chain — release, open weights, distillation, deployment.","83ef0daa-3c31-4cb3-86ed-e5ee58654d5f","2026-09-08T07:33:19.942193Z","2026-09-08T07:33:19.942209Z",{"items":56},[57,62,67,72,77,82],{"id":58,"title":59,"news_slug":60,"published_at":61},"b9898ba4-65f5-4d80-b9ab-338b01fbd685","NASA 与 IBM 开源月球模型:极区找冰误差降 22%","nasa-ibm-lunar-foundation-model","2026-09-18T13:10:34+00:00",{"id":63,"title":64,"news_slug":65,"published_at":66},"c19d101f-69d3-4040-9950-3e6227859937","SpatialBlock:让视觉大模型从玩积木学起,补上空间智能短板","spatialblock-lvlm-spatial-intelligence","2026-09-11T23:10:12+00:00",{"id":68,"title":69,"news_slug":70,"published_at":71},"7cc1b87c-fe06-495a-9c01-9516d0c16354","腾讯混元 HunyuanImage-3.0 全面开源：80B 总参 \u002F 13B 激活的自回归 MoE，把多模态理解和生图拉到同一框架","tencent-hunyuanimage-3-moe-autoregressive","2026-08-05T01:00:00+00:00",{"id":73,"title":74,"news_slug":75,"published_at":76},"dfc3dec4-2211-4c7e-b6ff-9e0d9a479ec4","微软与 Mistral 签下数十亿美元协议:Vera Rubin GPU 上的「欧洲主权云」开始落地","microsoft-mistral-vera-rubin-sovereign","2026-07-22T02:00:00+00:00",{"id":78,"title":79,"news_slug":80,"published_at":81},"d8c62859-54c8-4069-b776-8e623ca03029","Cohere Transcribe Arabic：2B 开源 ASR 登顶，WER 低 Whisper 11 点","cohere-transcribe-arabic","2026-07-16T04:00:00+00:00",{"id":83,"title":84,"news_slug":85,"published_at":86},"b6dc8854-6604-4860-a3de-5d70abe3e512","Real World VoiceEQ：100 万人类评分戳破语音基准饱和","hume-ai-real-world-voiceeq","2026-07-15T00:00:00+00:00"]