AI Institute for Artificial and Natural Intelligence

人工智能和自然智能研究所（ARNI）将汇集全国各地的顶尖研究人员，专注于国家优先事项：将人工智能（AI）系统的重大进展与我们对大脑理解的革命联系起来。在过去的十年里，我们在研究神经活动、神经回路和学习方面取得了惊人的进展，但到目前为止，我们的神经科学见解对人工智能的影响还很肤浅。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休斯顿健康中心、米拉QC、霍华德休斯医学研究所、宾夕法尼亚大学、哈佛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跨学科培训和研究新范式的迫切需求。这将加快所有三个领域的进展，并在未来十年扩大对社会的变革影响。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，包括有限数据的学习，因果关系和不确定性的推理以及终身学习，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将弥合目前人工和生物网络之间的巨大差距，并为各种应用提供空间，包括：工业应用，如强大的，可解释的医疗决策和智能家居助理;社会应用，如更好的社会安全网和帮助弱势群体的辅助多模式系统。到科学发现，例如提供关于大脑功能的假设，以及创建从大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教育和研究机会，在人工智能，神经科学和认知科学的界面内。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发展，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（RE&）]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评估被认为值得支持。影响审查标准。

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.