Magical Bits

  https://research.googleblog.com/2018/03/mobile-real-time-video-segmentation.html

Beautiful audio book. Source: Let’s Learn About Waveforms

Hyperledger Fabric is a blockchain framework implementation and one of the Hyperledger projects hosted by The Linux Foundation. Intended as a foundation for developing applications or solutions with a modular architecture, Hyperledger Fabric allows components, such as consensus and membership services, to be plug-and-play. Hyperledger Fabric leverages container technology to host smart contracts called “chaincode” … [Read more…]

Consistent with our theoretical framework, this interruption effect disappears when a stimulus’s subjective novelty is restored after an interruption. We further find that these consequences are often unique to interruptions are often do not result from other interventions Source: Effect of an Interruption on Risk Decisions | Journal of Consumer Research | Oxford Academic

刘太格：现在规划有一种说法是，一个好的规划一定要朝向未来，而且一定是要用高科技，我不太认可。我认为现在规划的最大问题，是对今天人的基本需求理解不充分，这也就是为什么现在会出现城市病。如果眼下的问题解决不了，一味朝向未来就显得好高骛远。人口老龄化这个问题就是今天面临的，不是未来的问题。当然我对运用科技也很在意，但运用科技对于规划本身来说是锦上添花，并不是一个好规划的根本。我的理念是从人的基本需求出发，融合文化、历史、地理等基本因素，扎扎实实的做好规划。我问过很多人，两条快速路之间的最佳距离是多少？很多人答不出来，这就需要对城市情况、车流以及周边设施等基本要素进行研究，并结合大量实践经验才能得出。所以你问我接下来要实现什么想法，就是按照我的理念，与我的团队一起为更多城市做出好的规划。 Source: 新加坡规划之父刘太格：“八零后再创业” 传承规划硬功夫-新华网

哈佛大学经济学家埃德·格莱泽曾说，经济学提供的是具体策略而不是战略，这意味着政府必须就向诸如公共住房领域提供多大支持作出决定。新加坡政府对公共住房领域的支持不仅强大，而且很稳定，这意味着政府向住房和发展局提供了大量公共补贴（2017年达11.9亿新元）。 Source: “新加坡又如何呢？”——全世界最佳公共住房项目的成功经验 | East Asia & Pacific on the rise

My quality bar for code dropped from, “Will we be able to maintain this for the next 5 years?” to, “Can this last until I’m promoted?” I didn’t file or fix any bugs unless they risked my project’s launch. I wriggled out of all responsibilities for maintenance work. I stopped volunteering for campus recruiting events. … [Read more…]

无水港是如何提高运输效率，降低运输成本的呢?我们来研究一下无水港的工作模式。无水港不临江海、没有船舶，货物是在无水港内“一站式”完成订舱、报关、报验、签发提单等一切通关手续，相当于把海港搬到了内陆，然后通过海铁联运的方式将货物运送到沿海港口，集装箱就可以直接装船出海。因为省掉了一系列复杂环节，大量的时间和运输成本就节省了出来。[4] Source: 无水港_百度百科

Deep reinforcement learning is surrounded by mountains and mountains of hype. And for good reasons! Reinforcement learning is an incredibly general paradigm, and in principle, a robust and performant RL system should be great at everything. Merging this paradigm with the empirical power of deep learning is an obvious fit. Deep RL is one of … [Read more…]