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The Paradigm Shift of NewSpace: New Business Models and Growth of the Space Economy 新太空的范式转变:新商业模式与太空经济的发展
Pub Date : 2024-07-11 DOI: 10.1089/space.2023.0060
Walter Peeters
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引用次数: 0
Space Industry in Argentina, Brazil, and India: How Are Emerging Countries Joining New Space? 阿根廷、巴西和印度的航天工业:新兴国家如何加入新太空?
Pub Date : 2024-03-15 DOI: 10.1089/space.2023.0045
Patrícia de Oliveira Matos
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引用次数: 0
Charting the Course: Considerations and Frameworks for Investigating and Regulating Commercial Spaceflight Safety 规划航向:调查和监管商业航天飞行安全的考虑因素和框架
Pub Date : 2024-03-01 DOI: 10.1089/space.2023.0022
Sara Langston, Anthony T. Brickhouse
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引用次数: 0
Water Recovery in Life Support Systems for Long-Term Space Missions 长期太空任务生命支持系统中的水回收
Pub Date : 2024-03-01 DOI: 10.1089/space.2023.0002
V. Rifert, A. Solomakha, Petr Barabash, Oleh Sniehovskyi, Valerii Petrenko
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引用次数: 0
A Historical Review of U.S.-China Relations in the Space Domain 美中太空领域关系的历史回顾
Pub Date : 2023-12-19 DOI: 10.1089/space.2023.0028
Jonathan P. Roll
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引用次数: 0
An Assessment of the Commercial Spaceport Ecosystem Through the Lens of Cape Canaveral Space Force Station 通过卡纳维拉尔角太空站评估商业航天港生态系统
Pub Date : 2023-12-04 DOI: 10.1089/space.2023.0036
Damon Feltman, Brian Miske, Greg Autry, Zaheer Ali
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引用次数: 0
Cislunar Positioning, Navigation, and Timing: International Relations and Policy Implications 顺星定位、导航和授时:国际关系和政策影响
Pub Date : 2023-12-01 DOI: 10.1089/space.2023.0034
Alec Domotor, M. Borowitz, Rebecca Palmer
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引用次数: 0
New Space and Generative Artificial Intelligence 新空间与生成式人工智能
Pub Date : 2023-09-01 DOI: 10.1089/space.2023.29050.editorial
Ken Davidian
New SpaceVol. 11, No. 3 EditorialFree AccessNew Space and Generative Artificial IntelligenceKen DavidianKen DavidianSearch for more papers by this authorPublished Online:11 Sep 2023https://doi.org/10.1089/space.2023.29050.editorialAboutSectionsPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail Dear New Space Readers,This editorial is about the hottest topic of 2023 (as of this issue). I've already written about the James Web Space Telescope (in volume 11, issue 1) and the partnership between New Space and the International Space University (in volume 11, issue 2), so even though generative artificial intelligence (AI) and large language models (LLMs) are already “old news,” having come to my awareness in mid-2020 with the announcement of GTP-3 (GTP stands for “Generative pre-trained transformer”, the 3 represents the version number) but more recently bursting into the public consciousness 9 months ago (in late 2022 for university student or early 2023 for the rest of us), that is the topic of this editorial.To identify what I should talk about, I couldn't resist posing three of the most popular LLMs the following prompt: I am the editor of a journal for entrepreneurial and innovative space activities that are primarily commercial and non-governmental. What are the top three things I should write in my editorial to the journal's readership about generative AI, large language models, and how it relates to the journal's areas of interest?The three LLMs I queried include Anthropic's Claude, based on the Constitutional AI LLM, Google's Bard,* based on the PaLM-2 LLM, and OpenAI's ChatGPT-4 (paid version), based on the GPT-4 LLM.† All of these can be found on the web with a simple search.Summarizing the full results from each of the three LLMs (that are included in unedited form at the end of this editorial) yields the following results: Claude thinks I should tell you about how generative AI is making new things possible, responsible development are required as its capabilities grow, and the AI can take on the more mundane tasks that then allow humans to focus on the harder problems requiring the greatest creativity.Bard says AI is quickly growing in power, are already in use by space industry professionals, and you, dear reader, are well positioned to benefit from it.ChatGPT-4 wants me to give you a primer in generative AI, tell you about how it is, and could be used in the space industry, and then emphasize the ethical questions of its use. Although all these points areIn general, I think the Claude response is quite general and could be applied genericly to almost any industry. Bard's response (both the summary and the full response) are also generic. It references the current use of generative AI by space industry members (which I don't believe, due to consideration of intellectual property rights by commercial entities, and ITAR [Interna
新的SpaceVol。11、第3号社论免费访问新空间和生成式人工智能肯·大卫·肯·大卫·搜索本文作者的更多论文出版在线:2023年9月11日https://doi.org/10.1089/space.2023.29050.editorialAboutSectionsPDF/EPUB权限和引文missionsdownload CitationsTrack引文添加到收藏返回出版分享在facebook上分享推特链接InRedditEmail亲爱的新空间读者,这篇社论是关于2023年最热门的话题(截至本期)。我已经写过詹姆斯网络太空望远镜(第11卷第1期)和新空间与国际空间大学的合作(第11卷第2期),所以即使生成人工智能(AI)和大型语言模型(llm)已经是“旧新闻”,在2020年年中,随着GTP-3 (GTP代表“生成预训练变压器”,3代表版本号)的发布,我意识到了这一点,但最近9个月前才突然进入公众意识(对大学生来说是2022年底,对我们其他人来说是2023年初),这就是这篇社论的主题。为了确定我应该谈论什么,我忍不住提出了三个最受欢迎的法学硕士:我是一个主要是商业和非政府的创业和创新空间活动期刊的编辑。关于生成式人工智能,大型语言模型,以及它与期刊感兴趣的领域的关系,我应该在我的社论中向期刊读者写的前三件事是什么?我查询的三个法学硕士包括Anthropic的Claude(基于宪法AI法学硕士)、Google的Bard(基于PaLM-2法学硕士)和OpenAI的ChatGPT-4(付费版本)(基于GPT-4法学硕士)。†所有这些都可以通过简单的搜索在网上找到。总结三个法学硕士的全部成果(在这篇社论的末尾以未编辑的形式包含)得出以下结果:Claude认为我应该告诉你生成式人工智能是如何使新事物成为可能的,随着其能力的增长,需要负责任的开发,人工智能可以承担更平凡的任务,然后让人类专注于需要最大创造力的更难的问题。巴德说,人工智能的力量正在迅速增长,已经被航天行业的专业人士使用,亲爱的读者,你很有可能从中受益。ChatGPT-4想让我给大家介绍生成式人工智能的基础知识,告诉大家它是怎样的,以及它可以在太空工业中使用,然后强调使用它的伦理问题。虽然所有这些观点都是笼统的,但我认为克劳德的回应是相当普遍的,可以普遍适用于几乎任何行业。巴德的回答(包括摘要和完整的回答)也是通用的。它引用了航天业成员目前对生成式人工智能的使用(我不相信,因为考虑到商业实体的知识产权,以及航天业中每个组织对ITAR[国际武器贸易条例]的关注)。也许只有我一个人这么想,但这个回答引发了我的怀疑,它是精心设计的,以隐藏一个潜在的信息“杀死所有人类”。最后,我上面提供的ChatGPT-4总结听起来相当笼统,但如果你阅读完整的回复,它提供了与航天工业相关的多个具体想法。尽管有这些很棒的建议(尽管有些通用、不祥或出人意料地相关),我还是决定向你传达我自2022年12月以来使用生成式人工智能的三个最重要的“收获”。首先,作为一名研究助理,生成式人工智能要做到准确和相关还有很长的路要走。尽管在回答研究问题时产生了非常精确的输出,但结果往往是不正确的,或者只是错误的或编造的(即“幻觉”)。当它的研究回答是正确的时候,我很受鼓舞,但我发现准确回答的比例很低。当我要求它提供给定主题的学术出版物的引文时,我发现它有正确的相关作者姓名和出版年份(大多数情况下),但期刊名称和其他引文数据(例如页码)都是编造的。其次,作为一名高管或行政助理,生成式人工智能实际上并不坏。对于需要人力的水平来说,这些聊天机器人都可以很好地总结一篇文章的文本(特别是如果你把文本输入它的话),从一个杂乱无章的口头描述的转录中创建一个连贯的旅行报告,或者为你的LinkedIn个人资料识别有效的关键字,以最大限度地提高搜索引擎优化结果。第三,作为一名艺术助理,尤其是对非艺术家来说,生成人工智能非常棒。 “生成式人工智能和大型语言模型介绍”-“概述”:首先简要介绍生成式人工智能及其子集,如GPT等法学硕士。这些模型接受了大量数据的训练,可以根据它们所学到的模式生成类似人类的文本。-“与空间相关”:随着航天工业的发展,对高效数据处理、快速创新和智能自动化的需求变得至关重要。人工智能凭借其在自然语言处理、数据分析和预测建模方面的潜力,可以改变太空企业家的游戏规则。“航天工业的应用和机遇”——“自动数据分析和报告”:随着来自卫星、太空探测器和望远镜的数据量不断增加,人工智能可以帮助筛选噪音,识别模式并自动化报告。这可以加速发现,并为商业企业提供有价值的见解,比如确定小行星上的资源或预测卫星维护需求。-“创新设计和解决问题”:生成式人工智能可用于协作设计过程、头脑风暴会议,甚至用于解决技术挑战。无论是设计新的航天器,优化燃油效率,还是寻找太空中意外问题的解决方案,人工智能都可以提供广泛的潜在解决方案。-“参与公共关系和外展”:商业航天活动往往需要公众的支持、理解或投资。法学硕士可以帮助起草新闻稿,回答公众疑问,甚至协助教育活动,使所有人更容易接触到太空的奇迹。“道德考虑和前进的道路”-“偏见和错误信息”:虽然这些模型很强大,但它们也可能使训练数据中的偏见永久化或产生误导性信息。在像太空这样关键的领域,盲目依赖人工智能的输出可能会产生严重的后果。-“对工作的影响”:就像每一个受自动化影响的行业一样,人们可能会担心某些特定职位的失业。必须强调的是,人工智能应该被视为增强人类能力的工具,而不是取代人类的工具。-“前进之路”:鼓励航天企业家投资于了解人工智能的优势和局限性。人工智能研究人员和太空专家之间的合作倡议可以为突破性的进步铺平道路。“结束语”:最后一点应该是乐观的,强调随着太空继续成为人类的下一个前沿,整合像生成式人工智能这样的先进工具不仅是一种选择,而且是必要的。通过接受这种协同作用,商业空间部门可以确保其冒险不仅有利可图,而且对全人类具有开创性和变革性。*我使用了三个提供的初稿,以尽量减少复杂性和混乱。†我还打算包括微软的Bing聊天,我决定不把它包括在这个“调查”中,因为它可能会让人困惑(因为它基于与ChatGPT-4相同的LLM),增加了复杂性(它有多种模式,更有创意,更精确,更平衡,所以我为什么要选择其中一个?)图表参考资料相关信息第11卷第3期2023年9月信息版权所有2023,Mary Ann Liebert, Inc,出版商本文引用:Ken daviddian。新空间与生成式人工智能。新空间。2023年9月148-150.http://doi.org/10.1089/space.2023.29050.editorialPublished卷:11期:2023年9月11日在线提前打印:2023年8月29日pdf下载
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引用次数: 0
International Space University and New Space 国际空间大学与新空间
Pub Date : 2023-06-01 DOI: 10.1089/space.2023.29048.editorial
Ken Davidian
New SpaceVol. 11, No. 2 EditorialInternational Space University and New SpaceKen DavidianEditor-in-ChiefKen DavidianEditor-in-ChiefEditorially yours, Ken Davidian, PhD, Editor-in-Chief, New Space E-mail Address: [email protected]Search for more papers by this authorPublished Online:8 Jun 2023https://doi.org/10.1089/space.2023.29048.editorialAboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View article"International Space University and New Space." New Space, 11(2), pp. 69–70FiguresReferencesRelatedDetails Volume 11Issue 2Jun 2023 InformationCopyright 2023, Mary Ann Liebert, Inc., publishersTo cite this article:Ken DavidianEditor-in-Chief.International Space University and New Space.New Space.Jun 2023.69-70.http://doi.org/10.1089/space.2023.29048.editorialPublished in Volume: 11 Issue 2: June 8, 2023Online Ahead of Print:May 26, 2023PDF download
新的SpaceVol。《国际空间大学与新太空》总编辑《新太空》总编辑《新太空》总编辑[email protected]搜索本文作者的更多论文出版在线:2023年6月8日https://doi.org/10.1089/space.2023.29048.editorialAboutSectionsView articleView全文pdf /EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites返回出版物ShareShare onFacebookTwitterLinked InRedditEmail查看文章“国际空间大学和新空间”。新空间,11(2),pp. 69 - 70 figurereferencesrelateddetails第11卷第2期2023年6月信息版权所有,Mary Ann Liebert, Inc.,出版商国际空间大学与新空间。新空间。2023.69-70.http://doi.org/10.1089/space.2023.29048.editorialPublished第11卷第2期:2023年6月8日在线提前打印:2023年5月26日pdf下载
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引用次数: 0
Acknowledgment of Reviewers 2022 审稿人致谢
Pub Date : 2023-03-01 DOI: 10.1089/space.2022.29046.ack
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引用次数: 0
期刊
New space
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