{"title":"人工智能大脑","authors":"Lian Wang, Yuexue Xia","doi":"10.1109/ICCEAI52939.2021.00053","DOIUrl":null,"url":null,"abstract":"A computer-implemented method of generating a response based on a physical signal, a non-transitory memory and a system to implement the method is described, The method includes detecting a physical signal by an image sensor and a sound sensor; processing the detected physical signal by a corresponding first deep neural network; storing the processed signal as processed data in individual corresponding memory units; connecting the individual corresponding memory units with a second deep neural network to form one or more cognition units; generating, by the one more cognitions units, an expression, from a signal produced by the second deep neural network; and converting, by a third deep neural network, the expression into an output for an output device.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Artificial Intelligence Brain\",\"authors\":\"Lian Wang, Yuexue Xia\",\"doi\":\"10.1109/ICCEAI52939.2021.00053\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A computer-implemented method of generating a response based on a physical signal, a non-transitory memory and a system to implement the method is described, The method includes detecting a physical signal by an image sensor and a sound sensor; processing the detected physical signal by a corresponding first deep neural network; storing the processed signal as processed data in individual corresponding memory units; connecting the individual corresponding memory units with a second deep neural network to form one or more cognition units; generating, by the one more cognitions units, an expression, from a signal produced by the second deep neural network; and converting, by a third deep neural network, the expression into an output for an output device.\",\"PeriodicalId\":331409,\"journal\":{\"name\":\"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEAI52939.2021.00053\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEAI52939.2021.00053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A computer-implemented method of generating a response based on a physical signal, a non-transitory memory and a system to implement the method is described, The method includes detecting a physical signal by an image sensor and a sound sensor; processing the detected physical signal by a corresponding first deep neural network; storing the processed signal as processed data in individual corresponding memory units; connecting the individual corresponding memory units with a second deep neural network to form one or more cognition units; generating, by the one more cognitions units, an expression, from a signal produced by the second deep neural network; and converting, by a third deep neural network, the expression into an output for an output device.