{"title":"纳米技术对大规模脑计算的要求和挑战","authors":"Arvind Kumar","doi":"10.1109/NANO.2016.7751566","DOIUrl":null,"url":null,"abstract":"Computing systems today are at the dawn of a new period in history: the cognitive era [1]. This transition is driven by the explosive growth in unstructured data enabled by new technology trends such as Social Media, the Internet of Things, and everywhere computing. Computing workloads are correspondingly shifting away from transactional processing and toward unstructured computational problems requiring fuzzier analysis such as sensing, learning, and inferring; detecting patterns and anomalies; and predicting and discovering.","PeriodicalId":6646,"journal":{"name":"2016 IEEE 16th International Conference on Nanotechnology (IEEE-NANO)","volume":"142 1","pages":"273-275"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nanotechnology requirements and challenges for large-scale brain computing\",\"authors\":\"Arvind Kumar\",\"doi\":\"10.1109/NANO.2016.7751566\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computing systems today are at the dawn of a new period in history: the cognitive era [1]. This transition is driven by the explosive growth in unstructured data enabled by new technology trends such as Social Media, the Internet of Things, and everywhere computing. Computing workloads are correspondingly shifting away from transactional processing and toward unstructured computational problems requiring fuzzier analysis such as sensing, learning, and inferring; detecting patterns and anomalies; and predicting and discovering.\",\"PeriodicalId\":6646,\"journal\":{\"name\":\"2016 IEEE 16th International Conference on Nanotechnology (IEEE-NANO)\",\"volume\":\"142 1\",\"pages\":\"273-275\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 16th International Conference on Nanotechnology (IEEE-NANO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NANO.2016.7751566\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 16th International Conference on Nanotechnology (IEEE-NANO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NANO.2016.7751566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nanotechnology requirements and challenges for large-scale brain computing
Computing systems today are at the dawn of a new period in history: the cognitive era [1]. This transition is driven by the explosive growth in unstructured data enabled by new technology trends such as Social Media, the Internet of Things, and everywhere computing. Computing workloads are correspondingly shifting away from transactional processing and toward unstructured computational problems requiring fuzzier analysis such as sensing, learning, and inferring; detecting patterns and anomalies; and predicting and discovering.