神经 形态 英语是什么意思 - 英语翻译

在 中文 中使用 神经 形态 的示例及其翻译为 英语

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因此,神经形态装置只需要较少的能量来运行。
As a result, neuromorphic devices require less energy to run.
英特尔一直在探索神经形态技术,甚至在2012年设计了芯片。
Intel has been exploring neuromorphic tech for awhile, and even designed a chip in 2012.
但事实是商用神经形态芯片和商用量子计算机已投入应用于机器学习之中。
The fact is however that there are commercial neuromorphic chips and also quantum computers in use today in operational machine learning roles.
这一切听起来都不错,但迄今为止,神经形态芯片还没有证明自己是在当前的强力深度学习技术的旁边。
That all sounds good, but so far, neuromorphic chips have yet to prove themselves next to current, brute-force deep-learning technology.
神经形态处理器可以提供低功耗和加速深度学习应用程序的处理,可能会导致更有效的探索工作。
Neuromorphic processors can offer low power consumption and accelerated processing for deep learning applications that may lead to more effective exploration efforts.
将计算移动到神经形态芯片中,你可以将处理过程移动到非常接近它所处理的数据。
Moving computation into neuromorphic chips, you can move that processing very close to the data it's working with.
神经形态计算机使用另一种芯片结构来物理地表示神经网络。
Neuromorphic computers use an alternative chip architecture to physically represent neural networks.
这包括超越摩尔定律的新计算方向,如量子计算和神经形态计算,对于传统处理器的低能量替代品至关重要。
This includes new computing directions outside Moore's law,such as quantum computing and neuromorphic computing, critical for low-energy alternatives to traditional processors.
神经形态芯片是由许多物理人工神经元组成的,这些神经元直接与软件对应。
Neuromorphic chips are composed of many physical artificial neurons that directly correspond to their software counterparts.
神经形态芯片可以用于AI应用的终端,这的确是一个非常令人兴奋的消息。
Neuromorphic chips can be used for AI applications at the end point, which is very exciting news indeed.
这与英特尔宣称其原型神经形态芯片Loihi的性能提升相同。
This is on par withIntel's claims of performance increases on its prototype neuromorphic chip Loihi.
开发量子和神经形态计算工具的许多现有技术都是基于超导体的使用,超导体是在低温下会超导的物质。
Many existing techniques for developing quantum and neuromorphic computing tools are based on the use of superconductors, substances that become superconducting at low temperatures.
Paul说他的领域叫“神经形态”,这个领域的目标是根据大脑架构的原则来设计晶体管电路。
Paul told me his field was called neuromorphic, where the goal is to design transistor circuits based on principles of brain architecture.
神经形态芯片模型的灵感来自神经元交流和学习的方式,使用的是可以根据时间来调节的spikes和plastic突触。
Neuromorphic chip models draw inspiration from the ways human neurons communicate and learn, using spikes and plastic synapses that can be modulated based on timing.
今年早些时候,英特尔推出PohoikiBeach,多达64颗英特尔Loihi神经形态芯片,能够模拟800万个人工神经元。
Earlier this year, Intel introduced Pohoiki Beach,a computer packed with 64 Intel Loihi neuromorphic chips, capable of simulating a total of 8 million artificial neurons.
由于每个人造神经元只会按需放电,而不是连续放电,神经形态芯片比传统处理器消耗的能量更少。
Because each faux neuronfires only on demand rather than continuously, neuromorphic chips consume less energy than traditional processors.
如果他们成功了,神经形态芯片(或神经芯片)有一天会取代我们的智能手机和其他设备里的CPU(中央处理器)。
If they're successful, neuromorphic chips(or neurochips) could one day replace the CPUs(central processing units) in our smartphones and other devices.
每个神经形态核心都包含一个学习引擎,在操作中可以通过编程去适配网络参数,支持监督学习、无监督学习、强化学习和其他的学习范式。
Each neuromorphic core includes a learning engine that can be programmed to adapt network parameters during operation, supporting supervised, unsupervised, reinforcement and other learning paradigms.
这意味着神经形态芯片是事件驱动的,并且只有在需要的时候才会运作,这就导致了一个更好的运行环境以及更低的能耗。
This means neuromorphic chips are event-driven, and operates only when it needs to, resulting in a better operating environment and lower energy consumption.
神经形态处理器和自主车辆.
Neuromorphic processors and autonomous vehicles.
神经形态芯片绝不是大脑的再创造。
Neuromorphic chips are by no means a recreation of the brain.
这一趋势中的第二项新技术是神经形态硬件。
A second new technology in this trend is neuromorphic hardware.
提供这种提升需要有高功率和超高效神经形态架构。
Providing this required boost are high-powered and ultraefficient neuromorphic architectures.
Davies的演讲重点是英特尔的Loihi神经形态芯片(neuromorphicchip),以及神经形态研究的未来方向。
Mike Davies' talk focused on Intel's Loihi neuromorphic chip as well as future directions in neuromorphic research.
英特尔还承认,它的神经形态芯片在某些类型的深度学习模型上表现不佳。
Intel has also admitted that its neuromorphic chip wouldn't do well with some types of deep-learning models.
不同于模拟大脑功能的传统AI和机器学习方法,神经形态计算(NeuromorphicComputing)模仿大脑结构。
Unlike traditional and machine-learning approaches,which attempt to copy brain function, neuromorphic computing mimics the brain's structure.
Westwelllab成立于2015年5月,是一间专注研究Neuromorphic仿脑神经形态工程的商业试验室。
Westwell lab, established in May 2015,is a commercial lab specialized in Neuromorphic engineering.
此前,有消息报道英特尔开发了一种自我学习的神经形态芯片--Loihi测试芯片。
Previously, reports said thatIntel has developed a self-learning neuromorphic chip--- Loihi.
他描述了RRAM如何为神经形态运算提供一个平台,是未来AI运算的一个潜力发展方向。
He described how RRAM can provide a platform for neuromorphic computing, which is a promising direction for future AI computing.
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