Cross-Cutting Research Workshops on Intelligent Information Systems

智能信息系统跨领域研究研讨会

• 批准号: 1005411
• 负责人: Sanjeev Khudanpur
• 金额: $ 43.97万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2015-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1005411&HistoricalAwards=false
• 关键词: Cross; Cutting; Research; Workshops; Intelligent

A series of annual research workshops on Intelligent Information Systems, centered on machine learning for speech, language and vision technologies, are being organized at Johns Hopkins University to bring together diverse ?dream teams? of leading professionals, graduate students, and undergraduates, in a truly cooperative, intensive, and substantive effort to advance the state of the science.The primary goals of the proposed workshop series are to develop machine learning principles applicable to a broad spectrum of intelligent systems, to attract students to the field and to prepare them for research by putting them to work on exciting problems alongside senior researchers in a highly collaborative environment. Creation of research infrastructure and lasting collaborations are secondary goals.An open call for workshop project proposals is being issued each year to researchers in the worldwide IIS community. Received proposals are competitively evaluated and cooperatively refined at interactive peer review meetings, where project proponents, government representatives, and experts from related fields meet to assess their scientific merit, viability and potential impact. The graduate students attending the workshop are familiar with the field and are selected in accordance with their demonstrated performance. The undergraduates are entering seniors who are new to the field and who have shown outstanding academic promise; they are selected through a national search. The participation of undergraduates in these research programs encourages talented young scholars to pursue graduate studies in IIS.By the end of this 3-year workshop series (beginning 2010), more than a hundred individuals will have conducted intensive collaborative research: about 30 academic and industry researchers, 20 researchers from government and national laboratories, 30 graduate students, and 20 undergraduates. Additional benefits of the workshops will be the collection or creation, and dissemination of valuable tools and data for IIS research, the establishment of fruitful and long-lasting collaborations, and the cross-fertilization of ideas among the participants.

一系列关于智能信息系统的年度研究研讨会，以语音，语言和视觉技术的机器学习为中心，正在约翰霍普金斯大学组织，以汇集不同的？梦之队由领先的专业人士，研究生和本科生组成，以真正的合作，密集和实质性的努力来推进科学的发展。拟议的研讨会系列的主要目标是开发适用于广泛智能系统的机器学习原理，吸引学生到该领域，并通过让他们与高级研究人员一起在一个高度开放的环境中研究令人兴奋的问题，为他们的研究做好准备。协作环境。 建立研究基础设施和持久的合作是次要目标。每年向全球IIS社区的研究人员公开征集研讨会项目提案。收到的提案在互动式同行审查会议上进行竞争性评价和合作性完善，项目提议者、政府代表和相关领域的专家在会上开会，评估其科学价值、可行性和潜在影响。参加讲习班的研究生熟悉该领域，并根据他们的表现进行选择。本科生进入的是刚进入该领域并表现出出色学术前途的高年级学生;他们是通过全国搜索选出的。本科生参与这些研究项目鼓励有才华的年轻学者在IIS中进行研究生学习。到这个为期3年的研讨会结束时（2010年开始），将有100多人进行密集的合作研究：约30名学术和行业研究人员，20名来自政府和国家实验室的研究人员，30名研究生，20名本科生。讲习班的其他好处将是收集或创建和传播有价值的工具和数据，用于IIS研究，建立富有成效的长期合作，以及参与者之间的思想交流。