IBM创造出世界上首个人工相变神经元:ag体育

By admin in 科技 on 2021年1月6日

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ag体育平台|For computer scientists是, creationofneuromorphicsystems-thoseinspiredbyandmodeledafterthewayneuronsinthehumanbrainarestructured-hasbeenalongstans l .科建立模仿神经形态的系统仍然是多年的目标,这个想法来源于人类脑内神经元的包含方式,被模仿。 Now,inasignificantsteptowardthedevelopmentofneuromorphictechnologies,agroupofresearchersibmsresearchlaboratoryinzurichaveans 作为神经形态技术发展的最重要的一步,位于苏黎世的IBM实验室,研究小组宣布他们发明了已经运营中的人工神经元。 The invention, describedinapaperpublishedinthejournalnaturenanotechnology, consistsofasmallsquareofgermaniumantimonytellurideheldbetweentwoelectrodes.germaniumantimonytelluride是acommoningredientinops iswhatisknownasphase-change material.thismeansitcanchangeitsphasefromanamorphousinsulatortoacrystallineconductorwhenhit tronger tinglikeboth,a resister and capacitor,and mimicking,to a certain extent,thebehaviorofbiologicalneuronslipidbilayermembrane .本发明者本发明者在两个电极之间含有较小的锗锑碲。

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锗锑碲是制作光盘的罕见材料,也就是所谓的热力学材料。 这意味着著遇到足够强的电子脉冲时,需要从有形绝缘体变化为结晶状态导体,其工作原理在电阻器和电容器中都可见,可能是模仿生物神经脂质双分子层的特性。 In the published demonstration,theteamappliedaseriesofelectricalpulsestotheartificialneurons, whichresultedintheprogressivecrystallizationofthephase-change material, ultimatelycausingtheneurontofire.inneurosciees thisfunctionisknownastheintegrate-and-firepropertyofbiologicalneurons, ibmsaidinastatementreleasedlastwednesday.thisisthefoundationforevent-basedcomputationand, in principle在issimilartohowourbraintriggersaresponsewhenwetouchsomethinghot.IBM上周三发表的声明中表示,该团队在人工神经元上发表了一系列最终在神经科学领域,这种功能被称为生物神经元的构建点火属性,是基于事件计算的基础。 原理上,和人们知道某些热东西后大脑的反应一样。

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thisisnottheonlysimilaritybetweenibmsneuronsandtheirorganiccounterparts.theartificialstructuresalsoexhibitstochasticity, or the ability to produce random, unpredictable results.biologicalneuronsarestochasticduetofluctuationswithinthecell-suchaschangesinionicconductanceandthe ound ) nsarestochasticbecausetheamorphousstateofgermaniumantimonytelluridealwayschangesslightlyafteers人工结构也显示出随机特性或无法随机预测由于细胞内部的波动,生物神经元是随机的,如离子传导的变化、冷背底的变化等,人工神经元也显示出随机的特性。 因为锗锑碲的有为形态每次退位都有严重的变化。
sowhyisthisstochasticity-whichmakestheoutputofasysteminherentlyunpredictable-desirableinanartificialneuron? As the researchers explain是, stochasticityletstheneuronsaccomplishtasksthattheywouldnotbeabletodoiftheiroutputwereperfectlypredictable-somethingthatmay tuay 正如研究人员解释的那样,在ficientcognitivecomputersthatmimictheparallelprocessingarchitectureofthehumanbrain .中为什么人工神经元具有随机特性在几乎无法预测输入的情况下,这些任务无法完成。populationsofstochasticphase-change neurons, combinedwithothernanoscalecomputationalelementssuchasartificialsynapses, couldbeakeyenablerforthecreationofanewgenerationofextremelydenseneuromorphiccomputingsystems, co-authortomastumasaidinthestatement .年出版人托马斯托马斯在声明中融合了人工神经神经元等其他纳米计算元素,随机热力学神经元群是发明者新一代高密度神经形态计算系统的最重要推测:ag体育平台。

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