研究7——发展与应用

601【ICML2018】63篇强化学习论文全解读

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602张益肇：最看好AI在金融和医疗领域的应用

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603清华教授获IEEE至高荣誉奖，我国另有三位专家学者获IEEE PES奖

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604论文和专利数量全球第1、高校人才落后，清华104页报告解读中国AI

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605服！Oracle 近 4000 万年薪只为一个 AI 专家！

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606科学匠人 | 让研究走在世界前沿，让个体跟世界深度连接

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607科学匠人 | 韦福如：做研究，痛并快乐着

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608科学匠人 | 张冬梅：要做就做到最好

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609科学匠人 | 四力合一，独立思考是研究的“秘密武器”

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610科学匠人特别篇 | 潘天佑：学术合作助微软成为执牛耳者

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611科学匠人 | 艾美工程奖背后的微软人

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612二十一世纪计算 | 深度学习革命: 进展、前景和困境

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613交恶微软、拒绝乔布斯，21 岁的他是如何开发出 Linux 的？

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614计算机科学家周以真：既要煮好饭，也别让菜放凉了

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615微软研究员在ImageNet计算机视觉识别挑战中实现里程碑式突破

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616【科研人员必看！】微软亚洲研究院院长洪小文博士谈科研：自信与谦虚并行

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617【你所不知道的图灵奖】与科学巨匠零距离

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618为什么微软如此重视基础研究？

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619《科学世界》：搜索的新时代

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620专访微软洪小文：人工智能应该叫（人类）增强智能

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621【展望2016】微软16位顶尖科学家带你有理有据开脑洞（全）

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622【圣诞干货】：图灵奖得主Leslie Lamport教你如何用数学思维编程

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623大数据教父Micheal Stonebraker告诉你大数据的秘密

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624【祝贺】芮勇博士荣获2016年IEEE 计算机学会技术成就奖

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625论国际前沿技术团队是如何做科研的

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626芮勇博士演讲丨人工智能60年，未来趋势怎么看？

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627IEEE专家解释：为什么你不能只依赖大众搜索引擎来做研究

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628赛先生专访 | 微软亚洲研究院芮勇：从基础科研开启革命性突破

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629新•未来 人工智能论坛|跨界大咖齐聚合肥畅聊人工智能

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630机器之心专访 | 微软亚洲研究院霍强：实现并行训练的线性增长，突破数据处理极限

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631科研着，幸福着——上海交通大学ACM班学生在微软亚洲研究院的实习生活

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632对话|俞栋：在人工智能的很多应用场景，语音识别是一个入口

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633对话|首席研究员童欣：从长远看，AR的应用范围远比VR广泛

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634【专访】黄学东：CNTK是我们的秘密武器

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635【HI+AI：人机协同 赋能未来系列】计算机是最好的左脑

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636Project Catapult：人工智能时代微软押注FPGA

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637沈向洋|微软携手 OpenAI 进一步履行普及且全民化人工智能的使命

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638观点|朱松纯：初探计算机视觉三个源头兼谈人工智能

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639微软亚洲研究院首席研究员周明博士 当选国际计算语言学协会（ACL）主席

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640刘铁岩：在微软大学的三次华丽转型

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641观点|谢幸：寻找人工智能研究中的结构洞

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642演讲 | 刘铁岩：对偶学习推动人工智能的新浪潮

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643LightRNN：深度学习之以小见大

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644演讲|刘康平：为什么我们每个人都应该学习计算思维

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645李飞飞、李凯、沈向洋、张钹、洪小文：我们正处于人工智能的秋天

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646观点|微软研究院的产业研究周期

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647周末讲座推荐：人工智能与科技金融

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648张冬梅：带领数据探索的梦之队

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649演讲|Thomas Moscibroda: 人工智能与科技金融

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650讲堂|郑宇：多源数据融合与时空数据挖掘（上）

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651讲堂| 童欣：数据驱动方法在图形学中的应用

652回顾AAAI|如何参加国际顶级人工智能大会？

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652讲堂| 曾文军：当机器学习遇到大视频数据

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653讲堂|林钦佑：人工智能的下一个风口——知识计算

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654成长指南 | 李博杰：折腾系统，让它的性能提升10倍

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655二十一世纪计算 | 洪小文：帮助机器和人类共同学习

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656院友会 | 技术人才都适合创业么？四位微软亚洲研究院前院长这么说

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657沈向洋：懂语言者得天下

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658张益肇：AI+医疗，微软有哪些布局？

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659对话童欣：VR/AR里的手势交互到底难在哪儿？

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660微软学者 | 以前沿视角，做计算机领域的瞭望者

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661二十一世纪计算 | John Hopcroft：AI革命

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662微软更新AirSim，支持自动驾驶汽车研究

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二十一世纪计算 | 大图数据科学： 图数据中的推理

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663二十一世纪计算 | 深度学习革命: 进展、前景和困境

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664李飞飞：我的2017

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665毕啸南专栏 | 对话姚星：腾讯有后来居上的传统，我们的战略是全民AI

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666第二弹！谷歌大脑2017总结下篇：Jeff Dean梳理6大领域研究

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667对话彭军、楼教主：1.12亿美元融资来了，Pony.ai车队也已在路上 | 变局者

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668国内首次！Pony.ai无人车进入常态化试运营

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669MIT：自动驾驶系统也能拨开迷雾，看清物体

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670苹果无人车四个最新专利：手势控制变道、车辆导流、路况感知及车辆控制

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671阿里无人车，正在高速过弯

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672 10倍性能提升！英伟达新卡皇降临，图灵架构GTX 20系列发布

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673大神Hinton的Capsule论文终于公开，神经网络迎来新探索

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674机器学习在企业管理中如何落地？25个行业近500名CIO这样说

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675英伟达为全自动驾驶汽车打造AI计算机，计算力达上代10倍

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676教主楼天城的首次校招，及Pony.ai最新进展 | 路测视频独家曝光

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677分享实录 | 第四范式程晓澄：机器学习在推荐系统中的应用

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678陈天奇团队发布TVM：把深度学习部署到手机、树莓派等更多硬件

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679Ian Goodfellow：深度学习的8个未来方向

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680这些大神从Google出走，创办了五家（命运各异的）无人车公司

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681推荐系统中的冷启动和探索利用问题探讨

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682机器废渣！AI离占领华尔街还早着呢

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683埃森哲：人工智能2035年将把16个行业的盈利能力提升38%

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684 80家AI+网络安全创业公司大盘点：两大最热门领域结合的9大方向

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685翻译们又要失业？Facebook最新无监督机器翻译成果，BLEU提升10个点

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686这个Kaggle三项排行榜的“顶级大师”，今年17岁

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687公开课 | 旷视科技产品总监：计算机视觉如何赋能身份验证场景

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688智能音箱大战全面开火，那么问题来了：如何成为一名全栈语音识别工程师？

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689AI战场，李彦宏马化腾马云都在频频刷脸，周鸿祎和他的360在想啥呢？

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690葵花宝典之机器学习：全网最重要的AI资源都在这里了（大牛，研究机构，视频，博客，书籍，Quora......）

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691李彦宏：如果有机会吞并腾讯和阿里，我一定两个都要

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692AI大咖山世光：AlphaGo Zero的成功并不能复制到人脸识别！

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693专访 | 微软首席数据科学家谢梁：从经济学博士到爬坑机器学习，这十年我都经历了啥？

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694浙大吴飞教授：尽管AlphaGo Zero已强大到从经验中学习模型，我也绝不赞同马斯克和霍金的威胁论，人才是智能的最终主宰

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695开工了！三位大咖给你指路：未来 3~5 年内，哪个方向的机器学习人才最紧缺？

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696专访 | 在AI 医疗这个热门的赛道上，阿里在怎么玩？

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697Facebook 应用机器学习团队专访：人工智能在 Facebook 中的应用

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698独家 | 一个天才的开挂人生：5年升至华盛顿大学终身教授，直取AAAI最佳论文奖，如今他要拿机器学习攻破全球慢性病难题

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699经典 | 三十年前的 AlphaGo：李开复经典论文重读

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700普林斯顿大学助理教授王梦迪：增强学习是人工智能的未来

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