Real Time Feature Extraction Using the Associative Memory at the Science Frontier

科学前沿的联想记忆实时特征提取

• 批准号: DE140100492
• 负责人: Dr Takashi Kubota
• 金额: $ 26.48万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE140100492
• 关键词: Real; Time; Feature; Extraction; Using

The identity of the Higgs boson is the most urgent question in the search for a mass generation mechanism of fundamental particles. This project will pin down essential properties of the Higgs boson by expanding the Large Hadron Collider's physics reach by developing a novel triggering technique called a 'fast tracker', which is based on the exploitation of a new electronics device called 'Associative Memory'. This project will also pioneer the implementation of an innovative vision model on the electronics device which will lead to a breakthrough in the study of vision algorithms and a paradigm shift in the development of real time feature extraction systems at the frontiers of science.

希格斯玻色子的身份是寻找基本粒子质量产生机制中最紧迫的问题。该项目将通过开发一种名为“快速追踪器”的新型触发技术来扩展大型强子对撞机的物理范围，从而确定希格斯玻色子的基本属性，该技术基于一种名为“联想记忆”的新型电子设备的开发。该项目还将率先在电子设备上实现创新的视觉模型，这将导致视觉算法研究的突破，并在科学前沿的实时特征提取系统的发展中实现范式转变。