AI Institute for Artificial and Natural Intelligence

AI 人工智能和自然智能研究所

• 批准号: 2229929
• 负责人: Richard Zemel
• 金额: $ 2000万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-01 至 2028-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2229929&HistoricalAwards=false
• 关键词: AI; Institute; Artificial; Natural; Intelligence

The AI Institute for ARtificial and Natural Intelligence (ARNI) will draw together top researchers across the country to focus on a national priority: connecting the major progress made in artificial intelligence (AI) systems to the revolution in our understanding of the brain. The past ten years have seen spectacular progress in interrogating neural activity, circuitry, and learning, yet our neuroscience insights have so far informed AI only superficially. Conversely, our rapidly advancing AI methods and systems have only begun to impact neuroscience. ARNI is a collaboration between Columbia University, Tuskegee University, City University of New York, Baylor College of Medicine, UT Health Houston, Mila QC, Howard Hughes Medical Institute, University of Pennsylvania, Harvard, and Princeton. Industry partners include Google, Deepmind, IBM, Amazon, and Meta. ARNI will meet the urgent need for new paradigms of interdisciplinary training and research between neuroscience, cognitive science, and AI. This will accelerate progress in all three fields and broaden the transformative impact on society in the next decade. ARNI researchers will work together to tackle the limitations and challenges of current learning systems, including learning with limited data, reasoning about causality and uncertainty, and lifelong learning, which are all hallmarks of biological systems, and will also extend the frontier of understanding how brains compute and learn. ARNI will bridge the current significant gaps between artificial and biological networks and make room for all kinds of applications, ranging from: industrial applications, such as robust, interpretable medical decisions and smarter home assistants; to societal applications, such as better social safety nets and assistive multimodal systems to help the vulnerable; to scientific discoveries such as providing hypotheses about brain function and creating powerful tools for extracting insights from massive data. The institute will provide educational and research opportunities for undergraduate, graduate and postdoctoral trainees, within and at the interface of AI, neuroscience, and cognitive science. Outreach partners, including the Neuromatch Academy and the New York Hall of Science, will help inform the public of these new developments and teach critical skills to the next generation of students.The U.S. Department of Defense, Office of the Undersecretary of Defense for Research and Engineering [DoD-OUSD (R&E)] is partnering with NSF to provide funding for this Institute.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

人工智能和自然智能研究所 (ARNI) 将汇集全国顶尖研究人员，重点研究国家优先事项：将人工智能 (AI) 系统取得的重大进展与我们对大脑理解的革命联系起来。过去十年，在研究神经活动、电路和学习方面取得了惊人的进展，但迄今为止，我们对神经科学的见解仅对人工智能有肤浅的了解。相反，我们快速发展的人工智能方法和系统才刚刚开始影响神经科学。 ARNI 是哥伦比亚大学、塔斯基吉大学、纽约城市大学、贝勒医学院、UT Health Houston、Mila QC、霍华德休斯医学院、宾夕法尼亚大学、哈佛大学和普林斯顿大学之间的合作项目。行业合作伙伴包括 Google、Deepmind、IBM、Amazon 和 Meta。 ARNI 将满足神经科学、认知科学和人工智能之间对跨学科培训和研究新范式的迫切需求。这将加速所有三个领域的进步，并扩大未来十年对社会的变革影响。 ARNI 研究人员将共同努力解决当前学习系统的局限性和挑战，包括利用有限数据进行学习、推理因果关系和不确定性以及终身学习，这些都是生物系统的标志，并且还将扩展理解大脑如何计算和学习的前沿。 ARNI 将弥合当前人工网络和生物网络之间的巨大差距，并为各种应用腾出空间，包括： 工业应用，例如稳健、可解释的医疗决策和智能家庭助理；社会应用，例如更好的社会安全网和帮助弱势群体的辅助多式联运系统；科学发现，例如提供有关大脑功能的假设以及创建从海量数据中提取见解的强大工具。该研究所将为本科生、研究生和博士后学员提供人工智能、神经科学和认知科学领域的教育和研究机会。包括 Neuromatch 学院和纽约科学馆在内的外展合作伙伴将帮助公众了解这些新进展，并向下一代学生传授关键技能。美国国防部负责研究和工程的国防部副部长办公室 [DoD-OUSD (R&E)] 正在与 NSF 合作，为该研究所提供资金。该奖项反映了 NSF 的法定使命，并通过使用 基金会的智力价值和更广泛的影响审查标准。