ID 原文 译文
56818 该技术已广泛应用于滴滴出行实际业务中,日均处理百万数量级的请求.该服务已对外开放,关键算法已开源,从而使其发挥更大的应用价值和社会价值. Importantly, both the service and key algorithms have been opened to the public to maximize their social andapplication value.
56819 本文从移动通信演进规律和泛在性出发,研究第六代移动通信系统(sixth generation, 6G). By reviewing the evolution law and ubiquity of mobile communication, this review investigates Sixth Generation (6G) Mobile Communication System.
56820 在前期引入代表智慧或意识的"灵"的基础上,提出6G信息交换中枢Ubiquitous-X网络,使人–机–物–灵的新通信对象全面协作和融合于现有网络,以构建未来的6G网络. To support the new object, “genie” which represents knowledge and consciousness, a Ubiquitous-X network is proposed. The proposed network is a 6G information exchange hub network that enables cooperation and integration between the human-machine-thing-genie communication objects and the existing networks in terms of access, resources, and structure.
56821 针对Ubiquitous-X网络构架面临的信息密度非均匀增长导致的传播非线性、信息维度增加导致的信息空间高维性、承载服务差异化导致的信息处理复杂性3大挑战,借鉴复杂系统耗散理论和信息负熵促进有序的思想,给出设计与优化Ubiquitous-X网络的演进范式和核心技术,为6G研究提供参考. To construct the future 6G network, Ubiquitous-X network architecture faces three challenges: nonlinear propagation caused by non-uniform propagation of information, high information space dimensionality caused by increased information dimensions, and complex information processing caused by service differentiation. To address these challenges and offer insights for 6G research, this review relies on dissipative theory as applied to complex systems and the idea that information negative entropy promotes order, and provides the evolution paradigm and core technologies for designing and optimizing the 6G Ubiquitous-X network.
56822 神经形态计算(类脑计算)以其自适应学习、高并行计算和低功耗等优点,被认为是最有希望解决冯·诺依曼(von Neumann)瓶颈的方法之一. Neuromorphic (brain-like) computing has great potential to solve the von Neumann bottleneck dueto its self-adaptive learning, high-parallel computing capability, and low-power consumption.
56823 实现神经形态计算的重要前提是开发能模拟生物突触行为的神经突触器件. Realization of neu?romorphic computing depends on the development of synaptic devices that mimic biological synapses.
56824 电学神经突触器件是首先发展起来的神经突触器件,但是它们在统筹考虑带宽、连接、密度等因素下的整体优化面临着很大的挑战. Initially,synaptic devices were electronic, and such devices face significant challenges relative to optimization of bandwidth,connectivity, and density.
56825 近年来,把光引入神经突触器件,研制光电神经突触器件,为神经突触器件的发展带来了新机遇. It has been recently shown that the incorporation of light to make optoelectronic synap?tic devices brings new opportunities for the development of synaptic devices.
56826 对神经突触器件而言,光不仅具备电难以实现的高带宽、低串扰、低功率和无延迟等特性,还可以直接模拟视觉等至关重要的神经行为. On one hand, light enables highbandwidth, low crosstalk, low energy consumption, and no delay. On the other hand, optoelectronic devicescan be used to simulate special neurobehavioral functions, such as vision.
56827 光电神经突触器件作为基于光电集成的人工神经网络的基础,有望有力促进高性能和低功耗的神经形态计算的发展. As the basis of optoelectronic inte?grated neural networks, optoelectronic synaptic devices are expected to greatly contribute to the developmentof high-performance and low-power neuromorphic computing.