内容来源：https://www.geekwire.com/2026/ai-research-boost-university-of-washington-expands-infrastructure-with-10m-in-federal-funding/

内容总结：

美国华盛顿州联邦参议员帕蒂·默里近日强调，人工智能的未来不应仅由亿万富翁和股东主导。她在视察华盛顿大学研究设施时指出，近期通过国会定向拨款为该校争取的1000万美元联邦资金，将用于扩建高性能计算平台，以支持数据密集型人工智能研究。

默里表示，此举旨在平衡当前由私人资本主导的人工智能发展格局。“如果人工智能仅由亿万富翁掌控并用于营利项目，社会将错失其带来的大部分福祉。”她认为大学在确保人工智能服务公共利益方面具有关键作用，包括医疗健康、环境研究、劳动力培训等领域。

这笔拨款将用于支持该校去年十月启动的新一代计算平台“蒂利坎”。校方表示，该投资不仅能加速科研进程、拓宽研究渠道，还能降低对商业云服务商的依赖。计算机科学与工程学院主任玛格达莱娜·巴拉津斯卡指出，公立大学服务于纳税人利益，“这意味着我们的目标是为社会谋福祉”。

随着人工智能计算需求激增，全美高校普遍面临基础设施滞后于私营企业的困境。巴拉津斯卡称这笔拨款“意义重大”，并强调计算资源已成为教研人员选择学术机构的首要考虑因素。

视察期间，默里重点关注校园数据安全问题。多名学生展示了涉及个人与科学数据的人工智能项目，例如通过语音分析追踪症状的医疗系统。研究人员强调，使用校内基础设施可避免敏感数据流向第三方云平台。

作为参议院拨款委员会资深成员，默里将这项投资定位为华盛顿州经济发展的基础支撑。“缺乏计算设备和基础设施将阻碍创新发展。这项投资将通过创造就业、改善医疗、培养创新人才等途径惠及全体民众。”

此外，默里还为华盛顿大学风洞实验室争取了300万美元叶片更新资金，并为放射性碳实验室争取了150万美元改造经费。这项联邦支出法案同时增加了美国国家标准与技术研究院等机构的科研预算，扭转了此前削减联邦科研经费的提案。

中文翻译：

华盛顿州参议员帕蒂·默里认为，人工智能的未来不应仅由亿万富翁和股东主导。这位资深议员于周五参观了华盛顿大学的研究设施，此前她已争取到1000万美元联邦资金，用于支持该校扩建数据密集型人工智能工作所需的基础设施。

默里表示，这笔资金将有助于平衡主要由私人资本驱动的人工智能发展格局。"如果仅由亿万富翁为其盈利项目开发和使用人工智能，我们将错失人工智能带来的大部分益处。"她在接受GeekWire采访时如是说。

默里指出，从医疗健康、环境研究到劳动力培训和就业创造，大学在确保人工智能发展服务公共需求方面发挥着关键作用。这笔通过《商业-司法-科学拨款法案》中"国会定向支出"项目拨付的新资金，将支持华盛顿大学去年十月启动的下一代计算平台"蒂利坎"。

校方领导表示，这项投资将加快研究周期、扩大使用范围，同时减少对商业云服务提供商的依赖。"这使我们能持续保持在人工智能研究的最前沿，"电子科学研究所所长安德鲁·康诺利表示。

保罗·G·艾伦计算机科学与工程学院主任玛格达莱娜·巴拉津斯卡指出，公立大学最终对纳税人负责，这与需向股东负责的私营企业有本质区别。"这意味着我们的目标是为社会谋求最大福祉。"

随着私营企业主导大规模基础设施资源，全美各大学校一直在努力跟上人工智能计算需求的快速增长。巴拉津斯卡称这笔新资金"数额非常可观"，并指出在学术环境中，相对适度的投资也能产生变革性影响。她补充说，计算资源获取条件已成为潜在教职人员在考虑能否在华盛顿大学取得成功时首要关注的问题。

周五，默里参观了该校的数据科学与人工智能研究中心——电子科学研究所，并与学生交流了他们的研究工作。参观过程中反复出现的主题是敏感数据校园化存储的重要性。多名学生展示了依赖大量个人或科学数据的人工智能项目，其中包括一个医疗健康系统，该系统通过语音输入和人工智能分析跟踪症状并为医生生成摘要。研究人员表示，在校属基础设施上开发此类工具可避免将敏感数据发送给第三方云提供商。校内计算资源还能让师生更快速地进行迭代实验。

作为参议院拨款委员会首席民主党议员，默里将这笔资金定位为基础设施建设的基石，也是其所在州经济发展的关键。"如果没有计算机，没有基础架构，发展就会受阻，"她强调，"因此这将惠及所有人——无论是创造就业机会、改善医疗保健，还是培养更多创新者来到华盛顿州，为未来创造就业机会，为我们所有人创造更美好的生活方式。"

默里还协助争取到300万美元用于更换华盛顿大学柯尔斯顿风洞的新风扇叶片，以及150万美元用于改进该校的放射性碳实验室。这项更广泛的联邦支出法案还增加了对美国国家标准与技术研究院等科学机构的资助，抵制了特朗普总统大幅削减联邦研究经费的提案。

英文来源：

Washington Sen. Patty Murray believes the future of artificial intelligence shouldn’t be dictated solely by billionaires and shareholders.
The longtime lawmaker toured research facilities at the University of Washington on Friday after securing $10 million in federal funding that will allow the UW to expand the infrastructure needed for data-intensive AI workloads.
Sen. Murray said the funding will help provide a counterweight to AI development driven primarily by private capital.
“If just billionaires are creating and using AI for their own projects that make money, then we lose out on most of the benefits of AI,” Murray told GeekWire.
Universities play a critical role in ensuring AI advances serve public needs, Murray said, pointing to applications ranging from healthcare and environmental research to workforce training and job creation.
The new funding, which comes through Congressionally Directed Spending in the Commerce-Justice-Science appropriations bill, will support Tillicum, the UW’s next-generation computing platform that launched in October.
University leaders say the investment will enable faster research cycles and broader access — while reducing reliance on commercial cloud providers.
“This allows us to stay at the cutting edge of AI and AI research,” said Andrew Connolly, director of the eScience Institute.
Unlike private companies that ultimately answer to shareholders, public universities answer to taxpayers, said Magdalena Balazinska, director of the Paul G. Allen School of Computer Science & Engineering. “That means our goal is to do what’s best for society,” she said.
Universities nationwide have struggled to keep pace with the rapid growth of AI computing demands, as private companies dominate access to large-scale infrastructure.
Balazinska called the new funding a “very significant amount,” saying that even relatively modest investments can be transformative in an academic setting. She added that access to computing resources is often the first question prospective faculty ask when considering whether they can be successful at the UW.
Murray on Friday visited the UW’s eScience Institute, a data science and AI research hub for the university, and spoke with students about their work. A recurring theme during the tour was the importance of keeping sensitive data on campus.
Several students demonstrated AI projects that rely on large volumes of personal or scientific data, including a health-focused system that uses voice input and AI analysis to track symptoms and generate summaries for doctors. Researchers said developing such tools on UW-owned infrastructure avoids sending sensitive data to third-party cloud providers. Having in-house compute also allows students and faculty to iterate more quickly.
Murray, the top Democrat on the Senate Appropriations Committee, framed the funding as foundational infrastructure and key to the economy in her home state.
“If you don’t have the computers, if you don’t have the basic infrastructure, you’re stymied,” she said. “So this benefits everybody — whether it’s creating jobs, whether it’s creating better healthcare, whether it’s creating more innovators who come here to Washington state to be able to create jobs for the future and make a better way of life for all of us.”
Murray also helped secure an additional $3 million for new fan blades at the UW’s Kirsten Wind Tunnel, and $1.5 million for improvements to UW’s Radiocarbon Lab. The broader federal spending bill boosts funding for other scientific agencies such as the National Institute of Standards and Technology, pushing back on proposals from President Trump to sharply cut federal research spending.