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6月下旬，美国国防部长马蒂斯曾经访问北京，中国称访问产生积极效果。随后，中国国防部证实，“马蒂斯部长在访华会谈中，正式邀请魏凤和部长年内访美，魏凤和部长接受了邀请。两国防务部门就此保持着密切沟通。”马蒂斯26日表示，美中两军关系发展正遇到障碍，但不认为两军关系发生了根本性变化。他说，美中双方都认识到，两国需要维持彼此之间的战略关系。马蒂斯25日在维吉尼亚军事学院讲话时表示，从长远来说，中国是美国最大的安全威胁，但事情不必向那个方向发展，两国可以找到合作的途径。

最后，对于明年的经济情况，管清友做了三方面的预测与建议：第一，如果中美两国股市出现共振，美国股市开始出现下跌，对中国国内的市场冲击还是比较大的；第二，明年失业压力会非常大；第三，对于短期经济和资本市场的波动以及中长期趋势的变化，无论是个人、企业家、投资者，还是政府宏观管理，都要调整心态，做好预案。

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双方还在教育、高技术等领域签署了一系列协议。伦敦和北京还达成协议，商定5年内英国牛肉对华出口总额达到2.3亿英镑。责任编辑：李昂撰文 | 薛离从时政角度来审视，我国的党员干部可否入市炒股？昨天（24日），中央纪委国家监委网站刊文对这一问题进行了明确。

新时代司法体制改革主要包括司法机构改革、司法体制综合配套改革和政法各单位改革三项任务。在今年初的中央政法工作会上，我曾听权威人士说过，未来五年将是公安体制深化改革的五年。而这次会议上，改革的规划更加明确。公安部正在抓紧制定机构改革实施方案，出台地方公安机关机构改革指导意见。研究制定执法勤务警员职务序列和警务技术职务序列改革具体实施办法，最终方向就是构建现代警务管理制度。

（AlphaGo Zero which haslearned completely from scratch， from first principles withoutusing any human data and has achieved the highest level of performance overall。 The most important idea in AlphaGo Zero isthat it learns completely tabular rasa。 That meansit starts completely from a blank slate and figuresout for itself only from self-play， without any human knowledge， without anyhuman date， without any human examples or features or intervention from humans.It discovers how to play the game of Go completely from fist principles。 Sotabular rasa learning is extremely important to our goals and ambitions at DeepMind。 And the reason is that if you can achieve tabularasa leaning， you really have an agent that can be transplanted from the gameof Go to any other domain。 You untie yourself from the specifics of the domainyou’re in and you come up with an algorithm which is so general that it can beapplied anywhere。 For us the idea of AlphaGo is not to go out and defeathumans， but actually to discover what it means to do science， and for a programto be able to lean for itself what knowledge is。 So， what we start to see wasthat AlphaGo Zero not only rediscovered the common patterns and openings thathuman tend to play， these joseki patterns that human play in the corners。 Italso leaned them， discovered them and ultimately discarded them in preferencefor its own variants which humans don’t even know about or play at the moment。 And so wecan say that really what’s happened is that in a short space of time， AlphaGo Zero has understood all of the Go knowledgethat has been accumulated by humans over thousands of years of playing。 And it’s analyzedit and started to look at it and discover much of this knowledge for itself.And sometimes it’s chosen to actually to beyond that and come up with something which thehuman hadn’t even discovered in this time period。 And developed new pieces ofknowledge which were creative and novel in many ways。 ）