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2018年，海安农商行支付给职工以及为职工支付的现金2.59亿元。经中国经济网计算，2018年，海安农商行员工年度薪酬总额为3.00亿元。按照在职员工人数计算，人均薪酬36.55万元。未决诉讼案件333件 自身风险项多达1212项截至2018年12月31日，海安农商行未决诉讼案件共计333件，均为海安农商行作为原告的诉讼案件，涉及争议本金金额合计6.27亿元。

7月18日，山东省政府网站发布《山东省人民政府关于同意调整济南市历城区部分行政区划的批复》，同意撤销唐王镇，以其原行政区域设立唐王街道办事处，办事处机关驻原唐王镇政府驻地。同意撤销西营镇，以其原行政区域设立西营街道办事处，办事处机关驻原西营镇政府驻地。这也意味着，济南市历城区最后两个镇撤销。

课堂内外 师生共同体助教学相长“目前在教学方式上，教师与学生互动太少，基本是教师讲、学生听，讲完课即离开。而能否与学生互动，其实体现的是教师以学生发展、利益和需求为出发点去考虑。”李言荣指出。熊丙奇指出，“关于提高人才培养质量，多年前国家就明确指出我国大学教学要推进通识教育，实行小班化教学，进行探讨式教学。做到这些，要求教师必须花更多的精力去研究教学，组织课堂教学，这样才可能培养学生的创新创造能力，这跟学校是否重视本科教学、投入教学密切关联，否则很难实现教师对学生培养过程的关注。而老师和学生应有更多时间共同学习和生活，才是实现教学相长的核心和根本”。

Sincerely,Kai-Fu Lee, Ph.D.Chairman & CEO, Sinovation Ventures（声明：本文仅代表作者观点，不代表新浪网立场。）中证网 黎旅嘉在上周五两市的大涨中，国防军工板块表现不俗。分析人士指出，当前军工板块成长逻辑逐步兑现。从板块整体来看，考虑到目前板块估值仍处于历史低位，结合行业基本面，军工板块后市依旧具备继续估值修复的条件。

据报道，林静仪是妇产科医师，曾在蔡英文担任民进党主席时期出任党中央妇女部主任；之后被提名为第9届不分区“立委”。当“立委”后，林静仪“敢说直言”风格让大众印象深刻，尤其是在2017年“劳基法”部分条文修正草案时，她为澄清没有拔掉电话线躲民怨，说“当时自己在‘院会’忙，而助理在大便”。

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.