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人工智能企业表面拼技术,实则拼人才

2017-09-12 09:42:31   中国经济网

另一个方面,高校作为人工智能人才的活水之源,成为了人工智能人才培养输出的关键渠道,也是企业通过战略合作发展人工智能产学研结合的重要智囊力量。

美国的校企联动、产学研联动模式也带来了巨大的双赢优势。原斯坦福大学人工智能实验室的负责人 Fei-Fei Li去年加入谷歌,领导后者的人工智能团队。反过来,谷歌也通过捐赠、数据共享等方式反哺斯坦福大学,共同成长。再比如,Uber 从卡内基·梅隆大学国家机器人工程中心一连挖了40 名研究人员。当然这中间也不乏国外大型企业与中国高校跨国合作的例子。Facebook已经开始与中国大学合作,比如清华和上海交大,采取同美国、法国等地相同的合作模式,关注大学的科研项目,给学生提供实习的机会等。截至2016年底,IBM与中国高校合作,累计人员、设备和资金投入约合43亿元人民币。2016年IBM支持的联合科研创新项目就达59项,在教育领域的软硬件支持和资金总额超1亿元。

中国人工智能企业主要聚集在北京、广东、长三角一带,四川地区在数量方面虽然不及上述三个地区,但明显高于其他省市,各地的高校如清华、北大、中科院计算所、南大等都纷纷成立了AI国家重点实验室。百度与西安交通大学共建大数据创新人才平台、开设人工智能班;与中科院旗下的研究生院中科院大学达成合作,在人才培养、科学研究、数据开放、资源共享等方面合作。致力于大数据、AI技术研究与行业落地的成都创业企业小牛数据联合国防科大信息系统与管理学院和阿里巴巴复杂科学研究中心发起成立了“大数据与人工智能研究中心”,三方基于各自已有的大数据、复杂网络、人工智能研究基础,在金融及其他领域的技术深化、应用创新方面展开深入合作。

另外,为加强人工智能人才实践能力、创新能力和就业能力的培养,企业和高校共同探索、创新了许多校企联合培养人才的新模式、新机制。百度校园相关负责人提出了“双师制”的观点,得到了学界的拥护。“双师制”的教学模式,一方面企业的研究人员作为学校学科的讲师,定期将具有实践意义和符合行业发展的知识传授给学生甚至老师,另一方面高校师生也有机会走进企业实操技术。IBM于2016年起与上海交通大学慕课学院展开合作,在其“好大学在线”慕课平台提供超过60多门包括Hadoop、Spark、Python、R、数据分析、机器学习等在内的大数据领域的高质量免费课程,2017年将IBM大数据大学学习平台及虚拟实验室部署在学校内部的私有数据中心上,以更好地支持学校开展大数据及数据科学方面的教学工作,促进学生开展创新创业实践活动。华南师范大学附属中学与科大讯飞股份有限公司华南师范大学附属中学与科大讯飞股份有限公司进行“校企合作”共建尖端科技实验室,协同推进信息化工作,应用互联网、大数据、人工智能等技术,打造智慧教育示范学校。小牛数据与阿里巴巴商学院合作共建了“金融大数据与人工智能实践教学基地”,为在校人才提供人工智能实习岗位和企业内部孵化机会,将学校和科研搬进公司,将产业和应用实践带入课堂。这些合作打通了人工智能产、学、研的关键结合点,形成了良好的循环。

对于中国的企业而言,未来的成功取决于当下的人工智能人才引进和培养策略,智能科学尚未建立完整的体系学科,而人类生活范式对人工智能的需求不会停下脚步,只有在基础培养和产业实践的紧密配合中,我们才能夯实人工智能发展的根基,形成我国人工智能战略优势。

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