内容来源：https://aibusiness.com/generative-ai/aws-ai-to-transform-research-data-on-chimpanzees

内容总结：

科技巨头助力珍妮·古道尔研究所开启数字化保护新篇章。亚马逊云服务近日宣布从其"生成式AI创新基金"中拨款100万美元，用于支持该机构将长达65年的手写灵长类动物研究档案进行人工智能数字化处理。

这批珍贵档案源自已故英国灵长类学家珍妮·古道尔博士自1960年起在坦桑尼亚贡贝国家公园开展的开拓性研究，包含大量手写野外笔记、影像资料和观测数据，目前仍以模拟格式保存。通过运用亚马逊云平台的多模态大语言模型和嵌入模型技术，研究人员将把积压六年的黑猩猩手写记录转化为可检索数字档案，并同步建立狒狒研究数据库。

项目技术负责人塔伊穆尔·拉希德表示，经过精心设计的提示工程，AI技术将帮助解锁档案中蕴藏的灵长类行为、栖息地变迁等多维信息。美国珍妮·古道尔研究所保护科学副总裁利利安·平特卡强调，这项合作将通过生成式AI技术放大机构使命，让古道尔博士的开创性工作持续激励后代。

据悉，加州设计研究机构Ode将参与开发用户界面，最终建成支持自然语言检索的在线门户系统，实现对65年间研究数据的交叉比对与分析，这项突破将推动全球生物多样性保护研究进入智能时代。

中文翻译：

由谷歌云赞助
选择您的首批生成式AI应用场景
要开启生成式AI之旅，首先应关注能够优化人类信息交互体验的领域。

AWS宣布从其"生成式AI创新基金"中拨款100万美元，用于数字化珍·古道尔研究所积攒数十年的档案资料。这位去年十月辞世的英国人类学家与灵长类学者自1960年起在坦桑尼亚贡贝国家公园研究黑猩猩，于1977年正式创立珍·古道尔研究所，被公认为全球最杰出的黑猩猩研究权威。

过去65年间，该研究所积累了海量研究资料，其中大量以手写田野笔记、独家影像资料和观测数据等模拟格式保存。此次资助将基于AWS生成式AI创新中心既有的概念验证方案，运用AI技术对这批珍贵档案进行数字化转换。

创新中心总经理泰穆尔·拉希德在博客中阐释了数字化流程："通过亚马逊Bedrock和SageMaker平台的多模态大语言模型与嵌入模型，结合精准的提示工程，我们将对研究所手写笔记和影像档案进行AI分析，开拓全新研究维度。"这些涵盖灵长类行为、气象条件、栖息地特征及社会互动等多维度的海量资料完成数字化后，不仅将助力科研突破，更有望揭示潜藏的内在关联，催生全新认知。

为实现这一愿景，AWS正与加州设计与研究机构Ode展开合作，共同打造能充分发挥AI优势的用户体验体系。当前首要任务包括：将积压六年的手写黑猩猩研究记录转化为可检索的结构化数据，完成狒狒观测记录的数字化以便合作方快捷调用。所有数据将迁移至AWS安全云基础设施，支持多模态数据源整合。最终目标是构建支持自然语言检索的AI系统，覆盖65年研究历程，同时建立在线门户网站，实现以往难以企及的跨资料关联分析。

美国珍·古道尔研究所保护科学副总裁利利安·平特亚表示："通过生成式与代理型AI技术解锁这些档案，我们将拓展研究所的使命，打造数字遗产，确保古道尔博士的开创性工作持续激励引领后世。"

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英文来源：

Sponsored by Google Cloud
Choosing Your First Generative AI Use Cases
To get started with generative AI, first focus on areas that can improve human experiences with information.
The hyperscaler commits $1M to digitize Jane Goodall Institute's 65 years of handwritten primate research using AI, creating searchable archives from analog notes.
AWS is committing $1 million from its Generative AI Innovation Fund to digitize decades of archives from the renowned Jane Goodall Institute (JGI).
U.K.-born anthropologist and primatologist Goodall, who died in October, became known as the world's foremost expert on chimpanzees, having started to study them in 1960 at Gombe National Park in Tanzania, and formally founding the Jane Goodall Institute in 1977.
Over the past 65 years, JGI has carried out detailed research, much of it recorded in handwritten field notes, unique film footage and observational data -- and remains in analog format.
AWS' funding is aimed toward digitizing this extensive collection of information with AI technologies in a project that builds on an existing proof-of-concept developed with the AWS Generative AI Innovation Center.
Taimur Rashid, managing director of the center, explained in a blog post how the digitization process would work. "Using a variety of multimodal large language models and embedding models on Amazon Bedrock and Amazon SageMaker, along with thoughtful prompt engineering, we're unlocking new possibilities through AI-powered analysis of JGI's archive of handwritten notes and videos," he said.
The depth and the scale of the research is vast, covering primate behavior, weather conditions, specific habitats, social interactions and more, and the digitization of these assets from multiple sources will aid research and, it is hoped, allow previously undiscovered connections to be found that can provide new insights.
To facilitate this, AWS is teaming up with California-based Ode -- experts in design and research -- to create a user experience that is fully able to take advantage of the benefits of AI.
Among the immediate priorities to be addressed are converting a six-year backlog of hand-written chimpanzee research records into a structured searchable format and digitizing baboon records to make date more readily accessible for JGI partners.
The data will be migrated to AWS' secure cloud infrastructure, with the project supporting the integration of multimodal data sources. Ultimately, the goal is to develop an AI system that enables natural language search that is applicable across 65 years of research, while creating an online portal that allows cross-referencing and analysis of data that until now has simply not been feasible.
Lilian Pintea, vice president of conservation science at JGI-USA, said: "By unlocking these archives with generative and agentic AI technologies, we will amplify JGI's mission and create a digital legacy that ensures Dr Goodall's pioneering work continues to inspire and guide future generations."
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