A Center for Brains, Minds and Machines: the Science and the Technology of Intelligence
A Center for Brains, Minds and Machines: the Science and the Technology of Intelligence
批准号:
1231216
负责人:
Tomaso Poggio
金额:
$2500.0万
依托单位国家:
美国
项目类别:
Cooperative Agreement
财政年份:
2013
资助国家:
美国
项目状态:
未结题
起止时间:
2013-09-01 至 2025-08-31
中文摘要
当今的人工智能技术,如沃森、Siri和MobilEye,令人印象深刻,但仍局限于单一领域或任务。想象一下真正的智能系统--真正理解他们的世界的系统--可以改变我们的世界。 科学家和工程师的工作可以扩大到帮助解决世界上最紧迫的技术问题。教育、医疗保健和制造业可以转型。 可以在更深层次上理解心理健康,从而导致更有效的治疗大脑疾病。 这些成就需要几十年的时间。 拟议中的大脑、思维和机器中心(CBMM)将使最终实现这些雄心勃勃的目标所需的研究成为可能。该中心的愿景是一个智能的世界,以及它如何从大脑活动中出现,是真正理解的。实现这一愿景的成功研究计划需要四个主要领域的调查和综合工作在所有四个统一的理论基础的指导下。首先,理解智力需要发现它是如何从学习和先天结构的相互作用中发展起来的。其次,理解智力的物理机制需要在多个层次上分析大脑,从神经回路到大规模的大脑结构。第三,智能超越了国际象棋或危险游戏计算机的狭隘专业知识,跨越了几个领域,包括视觉,规划,行动,社交互动和语言。最后,智力是从个体之间的相互作用中产生的?它是社会交往的产物。因此,本中心的研究主要围绕四个方面展开(逆向工程的婴儿心灵,神经元电路基础的智能,整合智能和社会智能)与联锁团队和工作组,和一个共同的理论,数学,计算平台(赋能理论)该中心的学术价值在于其重点在于阐明已知最智能的系统-人脑-的智能机制和结构。 这个项目的成功最终将使我们更好地了解自己,生产更智能的机器,甚至可能使我们自己更聪明。该中心对智能的深刻理解和设计智能的能力的潜在遗产是诱人的和永恒的。它包括通过密集的暑期学校,技术研讨会和在线课程等项目创建一个研究人员社区,这些项目将在新兴的新领域-智能科学与工程中培养下一代科学家和工程师。这一新领域将促进计算机科学、数学和统计学、机器人技术、神经科学和认知科学之间的持续进步和相互促进。它介于科学和工程之间,将吸引各级最优秀的学生越来越多的兴趣。 该中心计划的更广泛影响可能是彻底改变K-12,以及0-K和12-life,更深入地了解学习过程。 在机器中构建更多类人智能的能力将改变我们的生产力,使机器人能够照顾老人,驾驶我们的汽车,并帮助小企业制造。该中心团队由超过23名研究人员组成,其中许多人已经在与智能科学和技术相关的多个研究领域取得了重大成就。该中心团队拥有初级和高级研究人员,带来了计算机科学,神经科学,认知科学和数学方面的专业知识。机构伙伴包括9所机构(麻省理工学院、哈佛、康奈尔、洛克菲勒、加州大学洛杉矶分校、斯坦福大学、艾伦研究所、韦尔斯利、霍华德、亨特和波多黎各大学),其中3所学校的学生人数严重不足。学术机构由中心的工业合作伙伴(微软,IBM,谷歌,DeepMind,Orcam,MobilEye,杨柳Garage,RethinkRobotics,波士顿动力公司)和国际机构(马克斯普朗克研究所,魏茨曼研究所,意大利理工学院,希伯来大学)的世界知名研究人员补充。
英文摘要
Today's AI technologies, such as Watson, Siri and MobilEye, are impressive yet still confined to a single domain or task. Imagine how truly intelligent systems --- systems that actually understand their world --- could change our world. The work of scientists and engineers could be amplified to help solve the world's most pressing technical problems. Education, healthcare and manufacturing could be transformed. Mental health could be understood on a deeper level, leading in turn to more effective treatments of brain disorders. These accomplishments will take decades. The proposed Center for Brains, Minds, and Machines (CBMM) will enable the kind of research needed to ultimately achieve such ambitious goals. The vision of the Center is of a world where intelligence, and how it emerges from brain activity, is truly understood. A successful research plan for realizing this vision requires four main areas of inquiry and integrated work across all four guided by a unifying theoretical foundation. First, understanding intelligence requires discovering how it develops from the interplay of learning and innate structure. Second, understanding the physical machinery of intelligence requires analyzing brains across multiple levels of analysis, from neural circuits to large-scale brain architecture. Third, intelligence goes beyond the narrow expertise of chess or Jeopardy-playing computers, bridging several domains including vision, planning, action, social interactions, and language. Finally, intelligence emerges from the interactions among individuals ? it is the product of social interactions. Therefore, the research of the Center engages four major research thrusts (Reverse Engineering the Infant Mind, Neuronal Circuits Underlying Intelligence, Integrating Intelligence, and Social Intelligence) with interlocking teams and working groups, and a common theoretical, mathematical, and computational platform (Enabling Theory).The intellectual merit of the Center is its focus on elucidating the mechanisms and architecture of intelligence in the most intelligent system known: the human brain. Success in this project will ultimately enable us to understand ourselves better, to produce smarter machines, and perhaps even to make ourselves smarter. The Center's potential legacy of a deep understanding of intelligence, and the ability to engineer it, is tantalizing and timeless. It includes the creation of a community of researchers by programs such as an intensive summer school, technical workshops and online courses that will train the next generation of scientists and engineers in an emerging new field -- the Science and Engineering of Intelligence. This new field will catalyze continuing progress in and cross-fertilization between computer science, math and statistics, robotics, neuroscience, and cognitive science. Sitting between science and engineering, it will attract growing interest from the best students at all levels. The broader impact of the Center program could be to revolutionize K-12, and also 0-K, and 12-life with a deeper understanding of the process of learning. The ability to build more human-like intelligence in machines will transform our productivity, enabling robots to care for the aged, drive our cars, and help with small-business manufacturing. The Center team is composed of over 23 investigators, many having already made significant accomplishments in multiple research areas relevant to the science and the technology of intelligence. The Center team has a mix of junior and senior researchers, bringing expertise in Computer Science, Neuroscience, Cognitive Science and Mathematics. The institutional partners include nine institutions (MIT, Harvard, Cornell, Rockefeller, UCLA, Stanford, The Allen Institute, Wellesley, Howard, Hunter and the University of Puerto Rico), three of which have significant underrepresented student populations. The academic institutions are complemented by the Center's industrial partners (Microsoft, IBM, Google, DeepMind, Orcam, MobilEye, Willow Garage, RethinkRobotics, Boston Dynamics) and by world-renowned researchers at international institutions (Max Planck Institute, The Weizmann Institute, Italian Institute of Technology, The Hebrew University).
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会议论文
Collaborative Research: Foundations of Deep Learning: Theory, Robustness, and the Brain
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批准号:2134108
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项目类别:Standard Grant
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资助金额:$60.0万
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财政年份:2021
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负责人:Tomaso Poggio
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依托单位:
Collaborative Proposal: Object and Action Recognition in Time Sequences of Images: Computational Neuroscience and Neurophysiology
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批准号:0827483
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项目类别:Standard Grant
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资助金额:$47.5万
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财政年份:2008
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负责人:Tomaso Poggio
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依托单位:
Computational Models and Physiological Studies of Feedback in Visual Object Recognition Tasks
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批准号:0640097
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项目类别:Continuing Grant
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资助金额:$47.57万
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财政年份:2007
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负责人:Tomaso Poggio
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依托单位:
Collaborative Research: CRCNS: Detection and Recognition of Objects in Visual Cortex
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批准号:0218693
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项目类别:Standard Grant
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资助金额:$15.0万
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财政年份:2002
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负责人:Tomaso Poggio
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依托单位:
ITR: From Bits to Information: Statistical Learning Technologies for Digital Information Management and Search
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批准号:0085836
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项目类别:Continuing Grant
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资助金额:$204.0万
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财政年份:2000
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负责人:Tomaso Poggio
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依托单位:
KDI: Learning of Objects and Object Classes in Visual Cortex
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批准号:9872936
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项目类别:Standard Grant
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资助金额:$100.0万
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财政年份:1998
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负责人:Tomaso Poggio
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依托单位:
Adaptive Man-Machine Interfaces
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批准号:9800032
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项目类别:Continuing Grant
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资助金额:$45.0万
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财政年份:1998
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负责人:Tomaso Poggio
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依托单位:
CISE Postdoctoral Program: Complexity of Learning with Applications to Natural Language
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批准号:9504054
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项目类别:Standard Grant
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资助金额:$4.62万
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财政年份:1995
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负责人:Tomaso Poggio
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依托单位:
Single Chip Supercomputers
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批准号:9109509
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项目类别:Standard Grant
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资助金额:$3.8万
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财政年份:1991
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负责人:Tomaso Poggio
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依托单位:
Motion Analysis in Biological and Computer Vision Systems
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批准号:8719394
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项目类别:Continuing Grant
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资助金额:$51.54万
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财政年份:1988
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负责人:Tomaso Poggio
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依托单位:
海外基金