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索尼FE 200-600mm F5.6-6.3 G OSS配备DDSSM(直驱超声波马达)对焦系统,提供驱动对焦镜组所需的功率和精度,可实现快速精准的对焦。同时采用内变焦设计,变焦时镜头前端与拍摄对象之间的距离保持不变。外观介绍索尼FE 200-600mm F5.6-6.3 G OSS拥有一个较长的镜身,111.5 x 318mm,这主要由于其采用内变焦设计的缘故。好处是变焦时镜头前端与拍摄对象之间的距离保持不变,同时镜身的封闭性会更好,可提供更佳的防尘防潮性能。不好地方就是镜头的长度会有所增加。镜头重量约为2115g。

8月3日,中国政府网消息称,近日,国务院金融稳定发展委员会召开第二次会议,分析当前经济金融形势,重点研究进一步疏通货币政策传导机制、增强服务实体经济能力的问题。会议认为,当前金融形势总体向好,宏观杠杆率趋于稳定,市场预期明显变化,金融机构合规意识增强,野蛮扩张、非法集资等金融乱象初步遏制,金融风险由发散状态向收敛状态转变。 但同时需要看到,我国经济尚处于新旧动能转换时期,长期积累的金融风险进入易发多发期,外部不确定因素有所增多,需要积极稳妥和更加精准地加以应对。特别值得重视的是,在流动性总量保持合理充裕的条件下,面对实体经济融资难、融资贵的问题,必须更加重视打通货币政策传导机制,提高服务实体经济的能力和水平。

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.

另外,征求意见稿还提出,国务院保险监督管理机构根据实质重于形式原则认定的其他可能引致保险公司资源或者义务转移的事项,并对关联交易的金额设定了限额。根据征求意见稿,保险公司资金运用关联交易应符合以下比例要求:保险公司对全部关联方的投资余额,合计不得超过保险公司上一年度末总资产的30%与上一年度末净资产额二者中较高者;保险公司投资未上市权益类资产、不动产类资产、其他金融资产和境外投资的账面余额中,对关联方的投资金额不得超过上述各类资产投资限额的50%;保险公司对单一关联方的全部投资余额,合计不得超过保险公司上一年度末总资产的15%。

我国的税收制度借鉴了资本主义国家的税收文明,但在借鉴时,收税方法全盘接受,减税方法选择性接受,这种改变了其收支计算原理的做法,是否会影响其体系的科学性?是否会加大我国税收的征收成本和整个社会的运行成本?第二个事实是:税率还是原先设计的那个税率,但税收监管升级了,也更为严格了。我国各税种的税率,基本是在征收手段落后的时期确定的,为确保财政收入,定的都相对高。但现在征收手段更新换代了,税率还是基本不变,税收自然会大幅度增长。这就好比打鱼,渔网还是那个渔网,但网眼变小了。原先网眼大,比如六寸,会漏掉40%的鱼;现在网眼小到一寸了,90%的鱼都会捞上来。

重大事项【*ST庞大(维权):实施资本公积金转增股本股票停牌一天】根据重整计划,将按照每10股转增5.64股的比例实施资本公积金转增股本,共计转增产生36.89亿股股份。前述转增股份不向原股东分配。本次资本公积金转增股本股权登记日为12月27日,除权除息日为12月30日,转增股本上市日为12月31日。本次资本公积金转增股本后,公司股票除权参考价格为1.42元/股。公司股票将于12月27日停牌一天。

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