IEEE最近发布是IEEE Xplore AI Research Suite，基于IEEE Xplore数字图书馆中数百万份同行评审出版物的全文。 图书馆提供全文访问IEEE标准，期刊，杂志，会议纪要等。
利用AI套件搜索数字图书馆的研究人员收到基于经核实的科学结果的答案，确保高度准确和信任。
该套房作为所有IEEE Xplore数字图书馆机构订阅者的可选订阅升级版本提供。
为STEM文献优化的专有AI系统提供动力，数字库内部的套房推出强大的智能功能。 该套装使用户能够无缝搜索和发现文章，以加快对复杂技术论文的理解。
系统浮现了深刻的洞察力，用自然，对话的研究工作流程取代了典型的关键词查询。
随着AI工具在进行研究中越来越常见，IEEE合作围绕一个简单的原则建造套房：答案应当是值得信赖的，而不仅仅是快速的，称 W. Clem Karl,IEEE出版服务和产品副总裁。
“AI可以是一个非常有效和有益的工具，可以帮助研究人员加快发现、加强决策以及表面新的联系”,Karl 称。 “然而，许多AI引擎极有可能产生幻觉，或将偏见引入本来可信的研究。 有鉴于此，IEEE在我们的AI战略中采取了负责任的方法，制定了具体的保障措施，以确保我们的解决方案严格基于用户可以信任的科学证据。
“作为学术记录的管理者，我们把新的AI引擎与我们公布的同行评审研究标准相同：研究者不应该相信答案；他们应该能够核实背后的工作。
与科学界的合作
IEEE Xplore AI研究套件是与全球科学和图书馆界密切合作开发的。
开发过程开始于对用户需求和与现有AI研究助理相关的挑战的研究。 3,000多名测试人员——包括工程师、科学家和图书馆信息专业人员——提供了反馈，以完善AI引擎并支持研究工作流程。
能力包括：
- 语义AI搜索。 用户可以输入自由形式，自然语言的查询或粘贴长块的文本，以定位类似的研究并识别新颖的解决方案。
- 节省时间摘要。 该平台可以生成即时，准确的AI搜索结果概览，并提供技术术语的内涵定义，以便用户更快地掌握新概念，加快研究。
——以可信内容建成。 该套件是唯一一个AI研究助理，他们既使用IEEEE同行评审的期刊文章和会议文件的全文，又使用元数据，以优化结果的准确性和相关性。
- 全面报道。 各种STEM元数据来自期刊文章和会议文件，这些文章和论文被整理成包括学术文章，而没有其他工具中常见的噪音。
- 来源联系和可核实的结果。 AI生成的概览包括源文件的参考链接，允许用户验证信息和交叉引用结果。
减少幻觉
为了减轻AI幻觉的风险，搜索-检索过程仅限于查询数百万的IEEE同行评审的全文文件，以及经过专家整理的STEM元数据的数据集。 如果AI工具无法在定义的数据集中找到相关的科学内容，则它旨在告知用户而不是生成捏造的答案。
称 Steven Heffner是IEEE首席出版官兼IEE出版物总经理。 “IEEE Xplore AI Research Suite提供了独特的东西，因为它是唯一一个利用IEEE同行评审内容的全文和元数据的AI研究助理，而不只是摘要。
“差别很大：我们的内部测试显示，每个关键衡量标准的结果质量和准确性提高了三倍。 这些结果突出表明，全文对于技术研究至关重要。”
欲了解更多有关功能和覆盖的信息，或为您的组织请求演示，请访问IEEE Xplore AI Research Suite网站。
克莱尔·奥利尼是IEEEE公司和战略产品发布和参与公司的高级管理人员。
迈克尔·斯帕达是IEEE产品发布和参与战略的总监。
本文由 AI图鉴自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
IEEE recently released the IEEE Xplore AI Research Suite, built on the full text of millions of peer-reviewed publications in the IEEE Xplore Digital Library. The library offers full-text access to IEEE standards, journals, magazines, conference proceedings, and more.
Researchers who use the AI suite to search the digital library receive answers grounded in verified scientific results, ensuring a high level of accuracy and trust.
The suite is available as an optional subscription upgrade to all IEEE Xplore Digital Library institutional subscribers.
Powered by a proprietary AI system optimized for STEM literature, the suite introduces powerful, intelligent features within the digital library. The suite enables users to seamlessly search and discover articles to accelerate their comprehension of complex technical papers.
The system surfaces deep insights, replacing the typical keyword queries with natural, conversational research workflows.
As AI tools become more common in conducting research, IEEE collaborated to build the suite around a simple principle: Answers should be trustworthy, not just fast, says W. Clem Karl, vice president, IEEE Publication Services and Products.
“AI can be a highly effective and beneficial tool that can help researchers accelerate discovery, enhance decision-making, and surface new connections,” Karl says. “However, many AI engines present a great risk of hallucinating answers or introducing bias into otherwise credible research. With this in mind, IEEE has taken a responsible approach in our AI strategy by developing concrete safeguards to ensure our solution is rigorously grounded in scientific evidence that users can trust.
“As stewards of the scholarly record, we held the new AI engine to the same standards as the peer-reviewed research we publish: A researcher shouldn’t have to trust an answer; they should be able to verify the work behind it.”
Collaboration with the scientific community
The IEEE Xplore AI Research Suite was developed in close collaboration with global scientific and library communities.
The development process began with research into user needs and the challenges associated with existing AI research assistants. More than 3,000 testers—including engineers, scientists, and library information professionals—provided feedback to refine the AI engine and support research workflows.
Capabilities include:
- Semantic AI search. Users can input free-form, natural-language queries or paste long blocks of text to locate similar research and identify novel solutions.
- Time-saving summaries. The platform generates immediate, accurate AI overviews of search results and provides in-context definitions of technical terms so that users can grasp new concepts faster and accelerate their research.
- Built on trusted content. The suite is the only AI research assistant that uses both the full text and metadata of IEEE’s peer-reviewed journal articles and conference papers to optimize the accuracy and relevance of the results.
- Comprehensive coverage. A variety of STEM metadata is available from journal articles and conference papers that have been curated to include scholarly articles without the typical noise found in other tools.
- Source links and verifiable results. The AI-generated overviews include reference links to source documents, allowing users to verify information and cross-reference findings.
Reducing hallucinations
To mitigate the risk of AI hallucinations, the search-retrieval process is limited to querying the millions of IEEE peer-reviewed full-text documents, alongside an expertly curated dataset of STEM metadata. If the AI tool is unable to find relevant scientific content within the defined dataset, it is designed to inform the user rather than generate fabricated answers.
“IEEE is committed to providing the technical community with a highly precise and reliable research experience,” says Steven Heffner, IEEE’s chief publication officer and managing director of IEEE Publications. “The IEEE Xplore AI Research Suite offers something unique in that it is the only AI research assistant that leverages both the full-text and metadata of IEEE’s peer-reviewed content, rather than abstracts alone.
“The difference is significant: Our internal testing showed a threefold increase in result quality and accuracy across every key metric. These results underscore how critical full-text grounding is for technical research.”
For more information about features and coverage, or to request a demo for your organization, visit the IEEE Xplore AI Research Suite website.
Claire Olini is the senior manager for IEEE Corporate and Strategic Product Launch and Engagement.
Michael Spada is director of IEEE Product Launch and Engagement Strategy.
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