{"title":"ONBAM:一种基于目标神经元的主动记忆","authors":"T. Ae, T. Tsyosaki, H. Fukumoto, K. Sakai","doi":"10.1109/ICAPP.1995.472190","DOIUrl":null,"url":null,"abstract":"We propose an objective-neuron-based active memory, ONBAM, and design it by HDL. The ONBAM is an active topological memory, which is a memory with equivalently a topological space of data and a flexibly content-addressable function, which plays an important role of the memory-based AI machine.<<ETX>>","PeriodicalId":448130,"journal":{"name":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"ONBAM: an objective-neuron-based active memory\",\"authors\":\"T. Ae, T. Tsyosaki, H. Fukumoto, K. Sakai\",\"doi\":\"10.1109/ICAPP.1995.472190\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose an objective-neuron-based active memory, ONBAM, and design it by HDL. The ONBAM is an active topological memory, which is a memory with equivalently a topological space of data and a flexibly content-addressable function, which plays an important role of the memory-based AI machine.<<ETX>>\",\"PeriodicalId\":448130,\"journal\":{\"name\":\"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAPP.1995.472190\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAPP.1995.472190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose an objective-neuron-based active memory, ONBAM, and design it by HDL. The ONBAM is an active topological memory, which is a memory with equivalently a topological space of data and a flexibly content-addressable function, which plays an important role of the memory-based AI machine.<>