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人类距离生化机器人究竟有多远?

2017-05-26 10:10:54   经济参考报

苏州思必驰联合创始人、首席科学家俞凯提出,人工智能发展的机遇,一是数据量的增大;第二个是云计算的出现,使得大规模计算能力得以实现。

自从10年前我们有了大数据之后,计算机的进展非常迅猛。“今天计算机能获得如此高的智能,很大程度上取决于数据。”俞凯说。

而影响更为深远的助力则是认知与脑科学的研究突破。《科技发展新态势与面向2020年的战略选择》一书指出,信息科技根本性突破可能取决于脑科学的进展。一旦脑科学取得大的突破,必将引起信息技术的革命性变革。

脑科学和神经科技是近20年来我国发展最快的学科之一,也是美国、欧洲相继进行战略布局的重点领域。中科院自动化所脑网络组研究中心蒋田仔团队目前已成功绘制出全新的人类脑图谱,该图谱包括246个精细脑区亚区,以及脑区亚区间的多模态连接模式。该研究中心主任、博导蒋田仔介绍,脑网络组图谱是人类脑图谱发展和神经技术进步的必然趋势,是脑科学、认知科学、认知心理学相关学科发展的支撑,势必会对人工智能领域取得突破奠定基础。

神经科学和信息学的合作,将深度渗透到人工智能领域,神经网络——计算机模仿人类神经元建立的模型会令机器加速具备诸多技能。几乎可以预见,未来5年至10年,甚至更长的一段时间,大数据、脑机接口和神经工程将成为人工智能及相关领域科学家竞相突破的重点对象。

也许在不远的未来,人机协同的生化人真的可以像钢铁侠一样自由飞翔,犹如机甲战士般随意念操纵“武器”,改写生命轨迹、穿梭时空,甚至脱离物质属性而存在。

(责编:孙博洋、杨曦)

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