Global Manufacturing Outlook

Competitive advantage: enhancing supply chain networks for efficiency and innovation

An Economist Intelligence Unit

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research program sponsored by KPMG International

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Manufacturers are going to face really fierce competition over every scrap of market share available and there will certainly be winners and losers.” – Doug Gates, Global Sector Chair, Industrial Manufacturing and Global Head of Aerospace and Defense

Manufacturers are highly focused on achieving new growth. And many expect to be aggressive in their search for new opportunities. Yet with limited baseline growth expected in most markets, manufacturers will need to either invest into new technologies in order to ‘grow the pie’ or resort to a brutal competitive fight to steal market share away from rivals. The only certainty is that there will be winners and losers.

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Look through the detailed results, scan the high-level findings or see what the data means across various industry sectors and key markets. This site contains data and viewpoints that did not make it into the PDF report, so we encourage you to explore the links and pages below.

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The Digital Strategy 2025 programme demonstrates how the Federal Ministry for Economic Affairs and Energy (BMWi) has been setting priorities in recent years, developing capabilities and using new tools to make a digitised Germany possible. We want to show which areas require immediate action. Our recommendations are intended not only to enable the German economy to respond to new challenges but also to ensure its leading position both in quality and technology for years to come, by combining traditional competitive advantages with the newest technology, modern methods and specific support programmes.

iMRK (intelligent Human-Robot Collaboration) - Cooperation Project between DFKI RIC and Volkswagen AG (Smart Production Lab)

High degree of automation versus flexible production work flows: If humans and machines are to work together in closer proximity while maintaining a safe environment, functional safety will take today’s production systems one step closer to more flexibility. Human-robot collaboration (HRC) looks at how this can be achieved.

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There are different forms of automation depending on how humans and machines work together. If the ultimate goal is complete collaboration – where humans and robots share the same workspace and carry out their work at the same time – then it makes sense to develop solutions that employ coexistence or cooperation as initial steps toward this. Doing this requires not only an in-depth understanding of robotics applications, but also expertise in assessing risks and access to the right portfolio of safety solutions.

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Techniques and Systems for Training Large Neural Networks Quickly

Jeff Dean

Google

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Joint work with many colleagues at Google

How Can We Build More Intelligent Computer

Systems?

Need to perceive and understand the world

Basic speech and vision capabilities

Language understanding

User behavior prediction

…

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Google资深系统专家Jeff Dean在最近的湾区机器学习大会上解密了谷歌未曾在论文上发表过的第二代深度学习系统TensorFlow。Jeff的幻灯片还包含部分代码。

2015年11月9日，Google发布人工智能系统TensorFlow并宣布开源，同日，极客学院组织在线TensorFlow中文文档翻译。一个月后，30章文档全部翻译校对完成，上线并提供电子书下载，该文档的上线为国内外使用中文学习TensorFlow的工程及研究人员提供了更快的访问速度和更好的阅读体验，助力中国AI技术与世界同步。

众所周知，人工智能将是未来发展的大方向，从国家到全球科技领域对此都非常重视。我国的『十三五规划』中明确指出要实施智能制造工程；全球科技巨头也积极在人工智能领域布局，市场前景非常广阔。Google开发的人工智能系统尽管不是市面上唯一的开发框架，但Google的开发能力是强大的，如同之前的Android系统、Map Reduce技术一样，其强大的影响力可以引领一个领域的发展。

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尽管Tensorflow的官方版教程已经发布，但全英文的教程叙述难免让国内的研究人员阅读起来有些费力，且个人理解不同会造成使用时的不方便，翻译成中文上线发布，不但方便学习者理解，还解决了访问速度的问题。本次翻译采取的是互联网开源协作翻译的模式，由组织者整理出所有章节的英文原文并制定翻译规则，译者主动申请认领翻译和校对。短短一周内，所有翻译章节认领完毕，GitHub上Star达361，截止今日，Star已超500，在GitHub库中搜索TensorFlow，该翻译项目排名第二，仅次于Google TensorFlow官网开源库。较之普通的编程语言类翻译，该翻译对译者和校对人员的语言功底和背景知识要求更高，同时也有一批国内AI爱好者借助此项目聚集起来，共同讨论研究。

Google TensorFlow项目负责人Jeff Dean为该中文翻译项目回信称："看到能够将TensorFlow翻译成中文我非常激动，我们将TensorFlow开源的主要原因之一是为了让全世界的人们能够从机器学习与人工智能中获益，类似这样的协作翻译能够让更多的人更容易地接触到TensorFlow项目，很期待接下来该项目在全球范围内的应用!"

PS：在此感谢所有参与翻译和校对的参与者，特别感谢GitHub ID为PFZheng，lonlonago，volvet以及恩泽(longmotto)等同学的大力支持和付出。

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President Obama unveils a bold new research initiative designed to revolutionize our understanding of the human brain, and discusses the importance of investing in American innovation to create jobs and strengthen our economy.