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Collaborative Research: Understanding, Coping with, and Benefiting from Intractibility.

Collaborative Research: Understanding, Coping with, and Benefiting from Intractibility.
合作研究:理解、应对棘手问题并从中受益。
批准号:
0832797
负责人:
Sanjeev Arora
金额:
$686.8万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-08-15 至 2014-07-31

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中文摘要
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英文摘要
Expeditions in Computing: Understanding, Coping with, and Benefiting from Intractability Computational intractability imposes a limit on the ability to understand nature and design systems. Intractability is a stumbling block for postmen, travelling salesmen, map colorers, and millions of others who would like to complete their tasks as efficiently as possible, yet it is the foundation of 21st century cryptography, which in turn is a pillar of electronic commerce. In order to understand, manage, and exploit intractability it is imperative that progress be made on proving intractability in many forms and computational models, and on unraveling the interconnections among different forms and uses of intractability. This Expedition will explore an array of diverse but interrelated topics in computational intractability including algorithms, complexity, cryptography, analysis, geometry, combinatorics, and quantum mechanics. A "Center for Intractability," the first of its kind, will be based at Princeton. Addressing some of the deepest and hardest theoretical problems standing in the way of significant advancements in computer science, this Expedition involves a high degree of collegial interactivity through collaborations among geographically local participating institutions. Outreach includes an active "Women in Theory" program as well as programs targeting undergraduate and high-school students.
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Collaborative Research: RI:Medium:MoDL:Mathematical and Conceptual Understanding of Large Language Models
  • 批准号:
    2211779
  • 项目类别:
    Standard Grant
  • 资助金额:
    $80.0万
  • 财政年份:
    2022
  • 负责人:
    Sanjeev Arora
  • 依托单位:
AF: Large: Collaborative Research: Nonconvex Methods and Models for Learning: Toward Algorithms with Provable and Interpretable Guarantees
  • 批准号:
    1704860
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $170.0万
  • 财政年份:
    2017
  • 负责人:
    Sanjeev Arora
  • 依托单位:
AF: Small: Linear Algebra++ and applications to machine learning
  • 批准号:
    1527371
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.0万
  • 财政年份:
    2015
  • 负责人:
    Sanjeev Arora
  • 依托单位:
AF: Medium: Towards Provable Bounds for Machine Learning
  • 批准号:
    1302518
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $90.0万
  • 财政年份:
    2013
  • 负责人:
    Sanjeev Arora
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)