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1985 Chapel Hill Conference on VLSI, UNC - Chapel Hill, May 15 - 17, 1985

1985 Chapel Hill Conference on VLSI, UNC - Chapel Hill, May 15 - 17, 1985
1985 年教堂山 VLSI 会议,北卡罗来纳大学 - 教堂山,1985 年 5 月 15 日至 17 日
批准号:
8501908
负责人:
Henry Fuchs
金额:
$1.86万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1985
资助国家:
美国
项目状态:
已结题
起止时间:
1985-03-01 至 1986-08-31

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中文摘要
翻译
本次会议将于1985年5月15日至17日在北卡罗来纳大学教堂山校区举行,届时将邀请与会学者发表VLSI各个方面的论文,并在设计自动化、电路、架构和理论方面发表论文。本次会议是一系列会议中的第七次会议,旨在强调VLSI对算法设计和完整集成系统设计的影响。本次会议仅限受邀参加,所有与超大规模集成电路研究相关的顶尖大学、工业企业和政府机构均可参加。会议纪要将在会议上印发,正式会议纪要将出版。这些会议在将大学的新研究思想转化为工业方面发挥着重要作用。它还有助于向大学参与者反馈工业和其他实际限制,从而有助于确保大学研究与工业的长期需求相一致。
英文摘要
This conference, to be held May 15-17, 1985, on the campus of the University of North Carolina at Chapel Hill, will feature invited papers on all aspects of VLSI and contributed papers in design automation, circuits, architecture, and theory. This conference, which is the seventh in a series of conferences, seeks to emphasize work on the effects of VLSI on the design of algorithms and on the design of complete, integrated systems. Attendance will be by invitation only, and participation is expected from all the leading universities, industrial firms, and governmental agencies associated with VLSI research. A printed Proceedings will be distributed at the conference, and the formal proceedings published. These conferences serve an important role in transferring new research ideas from universities into industry. It also serves to feed back industrial and other practical constraints to the university participants, and thereby help assure that university research is consistent with the long-term needs of industry.
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会议论文
Collaborative Research: HCC: Medium: Deep Learning-Based Tracking of Eyes and Lens Shape from Purkinje Images for Holographic Augmented Reality Glasses
RI: Small: Uncovering Dynamics from Internet Imagery
FW-HTF: Collaborative Research: Enhancing Human Capabilities through Virtual Personal Embodied Assistants in Self-Contained Eyeglasses-Based Augmented Reality (AR) Systems
CHS: Small: Collaborative Research: 3D Audio Augmentation for Limited Field of View Augmented Reality Systems for Medical Training
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