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The deep learning tidal wave (the most central part of the “AI revolution”) is now changing every industry. As an example, as a venture capitalist in China, I was a part of a “tiny” side effect: Geoff's 2012 paper and ImageNet result inspired four computer vision companies in China, and today they are collectively worth about $12 billion. Keep in mind, this was just one small field in one country based on one of Geoff's result. Geoff's result also led to deep learning disrupting speech recognition (the area of my Ph.D. work), resulting in super-human accuracy in 2015 by Baidu's Andrew Ng (recruited to Baidu after Geoff joined Google part-time). And much more broadly, every technology monolith (Google, Microsoft, IBM, Facebook, Amazon, Baidu, Tencent, Alibaba) built its platform for deep learning, and re-branding themselves as “AI companies”. And in venture capital, we saw the emergence of many unicorns (in China alone there are over twenty) powered by deep learning. Also, deep learning required much compute power that traditional CPUs could not handle, which led to the use of GPUs, the rise of Nvidia and the re-emergence of semiconductors to handle deep learning work-load. Most importantly, our lives have changed profoundly – from search engines to social networks to e-commerce, from autonomous stores to autonomous vehicles, from finance to healthcare, almost every imaginable domain is either being re-invented or disrupted by the power of machine learning. In any domain with sufficient data, deep learning has led to large improvements in user satisfaction, user retention, revenue, and profit. The central idea behind deep learning (and originally from backpropagation) that an objective function could be used to maximize business metrics has had profound impact on all businesses, and helped the companies that have data and embraced machine learning to become incredibly profitable.

费德勒以再见ACE拿下赛点，获胜一刻，瑞士人举起双手庆祝自己温网第八冠。回到座椅上后，费德勒久久不能平复激动的心情，眼含热泪。虽然已经第8次夺得温网冠军，但每一次都意义非凡。在围棋比赛上，人工智能程序AlphaGo横扫世界顶尖棋手的事情，早已不是新闻。但人们聊以慰藉的是，AlphaGo是在大量学习了人类棋谱后，才慢慢“封神”。

北京时间周三（6月12日）凌晨，美国石油协会（API）公布的数据显示，美国截至6月7日当周API原油库存意外增加485万桶，预期减少47.2万桶；汽油库存增加82.9万桶；精炼油库存减少346万桶；数据公布后，美油快速走低并由升转跌，收报53.05美元/桶，跌幅0.39%。

7月6日，中国银保监会有关部门负责人表示，为加强房地产信托领域风险防控，针对近期部分房地产信托业务增速过快、增量过大的信托公司，银保监会近日开展了约谈警示，要求这些信托公司控制业务增速，提高风险管控水平。据介绍，银保监会对这些信托公司提出五方面要求，该负责人表示，这些措施要求，有助于遏制当前房地产信托业务过快增长的态势，有助于推动信托公司回归本源、优化结构、有效转型，促进房地产市场的平稳健康发展。

房企“不差钱”也反映在拿地的加速上。同策研究院监测数据显示，4月全国300城市土地供应2241宗，比上月增加670宗，比去年同期增加234宗。热点城市如苏州，又拍出了新地王。4月29日中海以35.63亿元总地价拿下苏州工业园区一宗宅地，楼面价30287元/平方米，这是苏州园区自规划建设以来土地楼面价首次超过3万元。一季度土地出让金排名前五的城市中，有四个位于长三角：分别是合肥、苏州、杭州和温州。

办案民警告诉扬子晚报紫牛新闻记者，他们凭借多年的办案经验，意识到这其中必有蹊跷。随后，民警根据李先生汇款对象查实，该名女子谢某暂住常州金坛市。经过调查，民警竟然无法找到谢某的就诊记录及病历，且意外发现谢某还有诈骗前科。在事实面前，谢某供认，当初抱着试一试的态度跟李先生要钱，没想到这么顺利。此后，她就把李先生当成了“摇钱树”，没钱花了随便编造一个理由，就能要到钱。只要李先生稍有不从，她便以上门闹、曝光相威胁。到手的近百万元钱，均已被谢某大手大脚挥霍掉了，而等候她的也将是法律的严惩。李先生也为网上交友发生的“一夜情”付出了昂贵的代价。