{"title":"脑源性三维纳米光子-纳米电子神经形态计算","authors":"S. Yoo","doi":"10.1109/IPC53466.2022.9975516","DOIUrl":null,"url":null,"abstract":"We propose a brain-derived—rather than a brain-inspired—Neuromorphic Computing architecture for flexible learning intelligent systems capable of handling complex tasks in unpredictable environments. We will discuss 3D Nanophotonic-Nanoelectronic integrated circuits that can realize energy-efficient, high-throughput, and scalable realization of brain-derived Neuromorphic Computing.","PeriodicalId":202839,"journal":{"name":"2022 IEEE Photonics Conference (IPC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Brain-Derived 3D NanoPhotonic-NanoElectronic Neuromorphic Computing\",\"authors\":\"S. Yoo\",\"doi\":\"10.1109/IPC53466.2022.9975516\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a brain-derived—rather than a brain-inspired—Neuromorphic Computing architecture for flexible learning intelligent systems capable of handling complex tasks in unpredictable environments. We will discuss 3D Nanophotonic-Nanoelectronic integrated circuits that can realize energy-efficient, high-throughput, and scalable realization of brain-derived Neuromorphic Computing.\",\"PeriodicalId\":202839,\"journal\":{\"name\":\"2022 IEEE Photonics Conference (IPC)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Photonics Conference (IPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPC53466.2022.9975516\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Photonics Conference (IPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPC53466.2022.9975516","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Brain-Derived 3D NanoPhotonic-NanoElectronic Neuromorphic Computing
We propose a brain-derived—rather than a brain-inspired—Neuromorphic Computing architecture for flexible learning intelligent systems capable of handling complex tasks in unpredictable environments. We will discuss 3D Nanophotonic-Nanoelectronic integrated circuits that can realize energy-efficient, high-throughput, and scalable realization of brain-derived Neuromorphic Computing.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
