Planning Grant: I/UCRC for Semantic Computing

规划资助:I/UCRC 用于语义计算

基本信息

项目摘要

Semantic Computing (SC) is an emerging field that addresses computing technologies which allow users to search, create, manipulate and connect computational resources. The research efforts will be anchored by the University of California-Irvine as the lead institution, partnered with the University of California-Los Angeles and the University of California-San Diego. Semantic Computing includes the computing technologies (e.g., artificial intelligence, natural language, software engineering, data and knowledge engineering, computer systems, signal processing, etc.), and their interactions, that may be used to extract or process computational content and descriptions. The proposed I/UCRC will focus on providing technologies that lead to a Semantic Problem Solving (SPS) network where distributed resources can be easily connected based on semantics for the purpose of problem solving. While some areas of Semantic Computing have appeared as isolated pieces in individual disciplines, Semantic Computing glues these pieces together into an integrated theme with synergetic interactions. It addresses not only the analysis and transformation of signals (e.g., pixels, words) into useful information, but also how such information can be accessed and used to synthesize new signals. The three proposed campuses have complementary areas of strength and have emphasized different aspects of Semantic Computing systems. All participating faculty are prominent researchers in one or more areas related to Semantic Computing. The technologies developed by the proposed I/UCRC may support new inter-connectivity that has not been realized by the Internet today. It therefore may facilitate the transition of the Internet into Web 3.0 and stimulate new business models for a better economy that everyone can benefit. The technologies developed by the proposed I/UCRC will be delivered to the public via the Internet, and the PIs expect to create broader impacts in areas other than the five selected. The five areas are chosen as they characterize different aspects of problem solving, e.g., creativity (IT, entertainment), learning (education) and decision making (health, finance), which are applicable to many other areas such as manufacturing, science, engineering, and the humanities.
语义计算(SC)是一个新兴的领域,它涉及允许用户搜索、创建、操作和连接计算资源的计算技术。研究工作将由加州大学欧文分校作为牵头机构,与加州大学洛杉矶分校和加州大学圣地亚哥分校合作。语义计算包括计算技术(例如,人工智能、自然语言、软件工程、数据和知识工程、计算机系统、信号处理等),以及它们的交互,其可用于提取或处理计算内容和描述。拟议的I/UCRC将专注于提供导致语义问题解决(SPS)网络的技术,在该网络中,分布式资源可以基于语义轻松连接,以解决问题。虽然语义计算的某些领域在各个学科中表现为孤立的部分,但语义计算将这些部分粘合在一起,形成一个具有协同交互作用的集成主题。它不仅解决了信号的分析和变换(例如,像素、单词)转化为有用的信息,而且还包括如何访问这些信息并将其用于合成新的信号。这三个拟议的校园有互补的优势领域,并强调语义计算系统的不同方面。所有参与的教师都是与语义计算相关的一个或多个领域的杰出研究人员。由提议的I/UCRC开发的技术可以支持今天互联网尚未实现的新的互连性。因此,它可能会促进互联网向Web 3.0的过渡,并刺激新的商业模式,使每个人都能受益。拟议的I/UCRC开发的技术将通过互联网向公众提供,而PI预计将在选定的五个领域之外产生更广泛的影响。选择这五个领域是因为它们表征了解决问题的不同方面,例如,创造力(IT,娱乐),学习(教育)和决策(健康,金融),适用于许多其他领域,如制造业,科学,工程和人文学科。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Mihaela van der Schaar其他文献

130 - Interpretable machine learning for soft tissue knee injury screening: relevance to post-traumatic osteoarthritis prevention.
130 - 用于膝关节软组织损伤筛查的可解释机器学习:对创伤后骨关节炎预防的意义
  • DOI:
    10.1016/j.joca.2025.02.135
  • 发表时间:
    2025-04-01
  • 期刊:
  • 影响因子:
    9.000
  • 作者:
    Simone Castagno;Thomas Molloy;Benjamin Gompels;Mark Birch;Mihaela van der Schaar;Andrew McCaskie;Stephen McDonnell
  • 通讯作者:
    Stephen McDonnell
Bridging the Worlds of Pharmacometrics and Machine Learning
  • DOI:
    10.1007/s40262-023-01310-x
  • 发表时间:
    2023-10-06
  • 期刊:
  • 影响因子:
    4.000
  • 作者:
    Kamilė Stankevičiūtė;Jean-Baptiste Woillard;Richard W. Peck;Pierre Marquet;Mihaela van der Schaar
  • 通讯作者:
    Mihaela van der Schaar
Efficient outcomes in repeated games with limited monitoring
  • DOI:
    10.1007/s00199-015-0893-8
  • 发表时间:
    2015-06-24
  • 期刊:
  • 影响因子:
    1.100
  • 作者:
    Mihaela van der Schaar;Yuanzhang Xiao;William Zame
  • 通讯作者:
    William Zame
LATE PCI IN STEMI: A COMPLEX INTERACTION BETWEEN DELAY AND AGE
  • DOI:
    10.1016/s0735-1097(18)30585-0
  • 发表时间:
    2018-03-10
  • 期刊:
  • 影响因子:
  • 作者:
    Raffaele Bugiardini;Edina Cenko;Jinsung Yoon;Beatrice Ricci;Davor Milicic;Sasko Kedev;Zorana Vasiljevic;Olivia Manfrini;Mihaela van der Schaar;Lina Badimon
  • 通讯作者:
    Lina Badimon
“DE NOVO” HEART FAILURE: A MECHANISM UNDERSCORING SEX DIFFERENCES IN OUTCOMES AFTER ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION
  • DOI:
    10.1016/s0735-1097(19)30677-1
  • 发表时间:
    2019-03-12
  • 期刊:
  • 影响因子:
  • 作者:
    Edina Cenko;Mihaela van der Schaar;Jinsung Yoon;Olivia Manfrini;Zorana Vasiljevic;Sasko Kedev;Marija Vavlukis;Milika Asanin;Davor Milicic;Lina Badimon;Raffaele Bugiardini
  • 通讯作者:
    Raffaele Bugiardini

Mihaela van der Schaar的其他文献

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{{ truncateString('Mihaela van der Schaar', 18)}}的其他基金

CIF: Small: Networks: Evolution, Learning and Social Norms
CIF:小型:网络:进化、学习和社会规范
  • 批准号:
    1524417
  • 财政年份:
    2015
  • 资助金额:
    $ 1.15万
  • 项目类别:
    Standard Grant
EAGER-DynamicData: Real-time Discovery and Timely Event Detection from Dynamic and Multi-Modal Data Streams
EAGER-DynamicData:动态和多模态数据流的实时发现和及时事件检测
  • 批准号:
    1462245
  • 财政年份:
    2015
  • 资助金额:
    $ 1.15万
  • 项目类别:
    Standard Grant
CIF: Small: Intervention: A Design Framework for Resource Sharing and Exchanges Among Self-interested Users
CIF:小:干预:利己用户之间资源共享和交流的设计框架
  • 批准号:
    1218136
  • 财政年份:
    2012
  • 资助金额:
    $ 1.15万
  • 项目类别:
    Standard Grant
CSR: Small: Dynamic Construction and Configuration of Classifier Topologies for Real-time Stream Mining Systems
CSR:小型:实时流挖掘系统的分类器拓扑的动态构建和配置
  • 批准号:
    1016081
  • 财政年份:
    2010
  • 资助金额:
    $ 1.15万
  • 项目类别:
    Standard Grant
NEDG: A New Systematic Framework for Cross-layer Optimization
NEDG:跨层优化的新系统框架
  • 批准号:
    0831549
  • 财政年份:
    2008
  • 资助金额:
    $ 1.15万
  • 项目类别:
    Standard Grant
Knowledge and Strategic Learning in Multi-user Communications
多用户通信中的知识和策略学习
  • 批准号:
    0830556
  • 财政年份:
    2008
  • 资助金额:
    $ 1.15万
  • 项目类别:
    Standard Grant
Complexity Optimization Strategies for Adaptive Multimedia Receivers
自适应多媒体接收器的复杂度优化策略
  • 批准号:
    0541453
  • 财政年份:
    2006
  • 资助金额:
    $ 1.15万
  • 项目类别:
    Standard Grant
CSR--EHS: Dynamic Resource Management for Multimedia Applications on Embedded Systems
CSR--EHS:嵌入式系统多媒体应用的动态资源管理
  • 批准号:
    0509522
  • 财政年份:
    2005
  • 资助金额:
    $ 1.15万
  • 项目类别:
    Continuing Grant
CAREER: New Paradigm for Wireless Multimedia Communication Systems with Resource and Information Exchanges
职业:具有资源和信息交换的无线多媒体通信系统的新范式
  • 批准号:
    0448489
  • 财政年份:
    2005
  • 资助金额:
    $ 1.15万
  • 项目类别:
    Continuing Grant
CAREER: New Paradigm for Wireless Multimedia Communication Systems with Resource and Information Exchanges
职业:具有资源和信息交换的无线多媒体通信系统的新范式
  • 批准号:
    0541867
  • 财政年份:
    2005
  • 资助金额:
    $ 1.15万
  • 项目类别:
    Continuing Grant

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卡内基梅隆大学规划补助金:I/UCRC for Big Learning
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    1650485
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  • 批准号:
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