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AI - 人工智能;CV - 机器视觉;DL - 深度学习;DM - 数据挖掘;DS - 数据科学;DV - 数据可视化;IOT - 物联网;ML - 机器学习;NLP - 自然语言处理

当Forrester发布其2016年报告《Open Source Powers Enterprise Digital Transformation》时,开源社区的一些人对结果感到惊讶。不过,他们感到惊讶的并不是41%的企业决策者将开源视为高优先级并计划在其企业中增加开源的使用。他们奇怪的是其他59%的人似乎还不了解开源将在企业未来所发挥的作用。

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  • [AI]Fujitsu begins field trials of AI app to alleviate congestion following major events
  • [AI]Google Just Made Its Artificial Intelligence Software Available to the Public
  • [AI]Google Tries an Android for Machine Learning, Releasing Open Source AI System
  • [AI]Google will open-source artificial intelligence, making TensorFlow internal AI software available free
  • [AI]Kodak Alaris launches AI Foundry—Accelerates delivery of artificial intelligence-based solutions…
  • [AI]TensorFlow: Open source machine learning
  • [AI]Toyota Research Institute to further AI and robotics research
  • [AI]We Need These Three International Treaties to Govern “Killer Robots”
  • [AI]What Google’s New Open-Source Software Means for Artificial-Intelligence Research – Wired Campus
  • [AI]Why Google is Giving Away Its Artificial Intelligence Secrets
  • [DL]A Wider Net is Cast for Deep Learning on GPUs
  • [DL]Mesosphere and NVIDIA deliver GPU support to Mesos
  • [DL]New Lasagne feature: arbitrary expressions as layer parameters
  • [DL]NVIDIA Launches New GPUs For Deep Learning Applications, Partners With Mesosphere
  • [DL]Veles - deep learning platform from Samsung
  • [DL]Why Google Is Willing to Give Away Its Latest Machine-Learning Software
  • [DM]Bringing Business Talent Onboard
  • [DS]A tale of two clusters: Mesos and YARN
  • [DS]Analytics Challenge Celebrates Top College Data Analytics Talent
  • [DS]Becoming A Data Scientist
  • [DS]Blue Coat acquires data science powered SaaS cloud security firm Elastica for $280m
  • [DS]Can you learn data science on the job?
  • [DS]Commerce Data Service - Department of Commerce
  • [DS]Data Scientist – Clinical Analysis Department at Kaiser Permanente in Pasadena, California 91188 | AnalyticTalent.com
  • [DS]EMC - How to think like a data scientist
  • [DS]H2O lands $20 million to drive its open-source data science platform
  • [DS]How I start my journey to data science and some great resources to get started.
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  • [DS]Open Postdoctoral Research Positions in Biomedical Data Science
  • [DS]The Art of Data Science Part 1
  • [DS]The Science of Data Management: An Inside Look
  • [DS]UCSD Will Co-Lead Data Innovation Center
  • [IoT]5 insights & predictions on disruptive tech from KPMG's 2015 Global Innovation Survey - Thoughts On Cloud
  • [IoT]A Closer Look At IoT Security Threats And Breaches - FashNerd
  • [IoT]Additional Considerations Regarding the Internet of Things - DZone IoT
  • [IoT]ARM reveals the Internet of Things security defenses hackers will inevitably learn to evade
  • [IoT]Big Data technology and services market will grow to $48.6 billion in 2019: IDC
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  • [IoT]Ergon Energy Uses Inmarsat BGAN M2M for Smart Grid Solution
  • [IoT]Gartner: 21 Billion IoT Devices To Invade By 2020 - InformationWeek
  • [IoT]Healthcare and Consumer Electronics Industries to Drive IoT
  • [IoT]HG #48 - Hardware Startup Crowdfunding: Post Funding Tips - PiTop
  • [IoT]IBM conference explains how data can create a better customer experience - Thoughts On Cloud
  • [IoT]Intel Gets Cozier In The Internet Of Things (IoT) Market
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  • [IoT]Internet of Things home appliances leaving users vulnerable to cyber attacks, warns Kaspersky
  • [IoT]Introducing the first SoC evaluation solution based on the ARM mbed IoT Platform - Internet of Things | Wearables | Smart Home | M2M
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  • [IoT]Join our IoT System Security Webinar
  • [IoT]Libelium Launches Global IoT Spartans Challenge to Promote Developer Training
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  • [IoT]Samsung SmartThings Hub - PC Mag
  • [IoT]Shift 2020 Brain Food Newsletter (Rudy de Waele)
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  • [IoT]Will the next age be the Human Internet of Things?
  • [ML]6 machine learning resources for getting started
  • [ML]7 Free Machine Learning Courses
  • [ML]Evaluating Machine Learning Models - O'Reilly Media
  • [ML]Google just released powerful new artificial intelligence software — and it's open source
  • [ML]Google open sources its TensorFlow machine learning system | ZDNet
  • [ML]Google Open Sources Machine Learning Library TensorFlow - InformationWeek
  • [ML]Google open-sources its TensorFlow machine learning system
  • [ML]Google Open-Sources Machine Learning Library, TensorFlow - DATAVERSITY
  • [ML]H2O - Fast Scalable Machine Learning For Smart Applications
  • [ML]H2O.ai Raises $20M For Its Open Source Machine Learning Platform • /r/MachineLearning
  • [ML]Machine Learning Could Help Video Game Water Look Better Than Ever
  • [ML]Microsoft Dynamics CRM Ventures Into Machine Learning
  • [ML]Open source machine learning platform H2O scores
  • [ML]Pinterest Upgrades Its Search Engine, Enters Machine-Learning Space
  • [ML]Predict Store Sales with ML Pipelines
  • [ML]TensorFlow: Google Open Sources Their Machine Learning Tool

参与报告的一个分析师Paul Miller写道,“开源软件是由孤独而奇怪的个人极客所编写——这样的偏见仍然普遍存在。这几乎是完全错误的。我们一次又一次地碰到那些不了解其组织已经依赖开源的高管。更重要的是,他们没有看到开源技术和思想在他们努力转变为真正能赢得、服务好和留住客户的高用户黏性企业的过程中所发挥的关键作用。”




《What Every CIO Must Know About Open-Source Software》(—— 如果你的知识有限,这可能一个很好的起点。Gartner的2017年报告回答了有关开源技术的基本问题,然后再深入探讨更复杂的CIO问题,例如风险是什么,以及如何利用开源的优势。

《The BOSS Index: Tracking the Explosive Growth of Open-Source Software》(——开源技术的前景广阔,但是 由一些听起来很奇怪的名字组成。这就是为什么Battery Ventures创建了这个详细的索引来分类和跟踪一些最流行的开源软件项目。查看此列表,了解开源世界。

Open Source Jobs Report**》( 该报告为招聘经理和求职者提供了宝贵的背景知识。


Open Source Leadership Summit(——这个年度Linux基金会活动面向负责推动组织内开源战略和实施的领导者。尽管2018年的活动已经结束,但你可以浏览关于Kubernetes、区块链、安全、AI等会议的主题演讲,以便更好地了解其他领导者如何考虑开源。

All Things Open(——将于10月21日至23日在北卡罗来纳州罗利举行,All Things Open有200个分会议、14个研讨会,主题包括云、区块链、大数据等。为了帮助与会者更好地完成他们的工作,本次会议重点关注开源内容的教育和ROI价值。


The Architect's Newsletter( Architects的简讯是软件架构师和IT领导者的月度指南,其中包含精选的链接、评论、新闻和案例研究。最近探讨了混沌工程和构建弹性分布式系统。

Opensource.com ——Opensource.com每周发送一份简讯,重点介绍从业者、专家和爱好者的故事,这些故事可以帮助你了解开源世界中有趣的项目和趋势。该网站还提供了广泛的资源库,包括开源技术备忘单和流行专有解决方案的替代开源方案的指南。



How Arduino is open-sourcing imagination(——如果你正在寻找灵感,Arduino的联合创始人Massimo Banzi进行了很棒的TED演讲。他的观点是:开源技术使任何人都可以在任何地方做任何他们能想象到的事情。

Fundamentals of Professional Open Source Management(如果你已准备好卷起袖子干,Linux基金会将提供一个课程,涵盖开发开源管理程序的关键阶段。该课程解决的最大挑战是,让企业高管、法律、开发和其他主要利益相关者走到了一起。