オープンデータとプログラミング

アップル社を買収、「ダーク・データ」(Machine Learning Company(Latticeデータ

オープンデータ関連のニュースです。

https://www.macrumors.com/2017/05/13/apple-acquires-lattice-data/

日本語

アップルは最近、ラティスデータ、テキストと画像のような非構造化データの「ダーク・データ」を、伝統的なデータ分析ツールが扱うことのできるデータ構造への転換を目指すという会社の買収に200000000ドルを渡した。買収のニュースはTechCrunchからきており、Appleは本質的に標準的なステートメントを発行することにより買収を確認しました。[ラティス]は、機械学習技術は、最初は、使用不可能なデータの量を、適切に表示され、区分AI、医学研究のために使用することができるデータに変換します。本誌はAppleに参加した約20Latticeエンジニアと「数週間前」を終えたという。
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English

Apple recently paid around $200 million to acquire Lattice Data , a firm that aims to turn unstructured “dark data” such as text and images into structured data that can then be handled with traditional data analysis tools. News of the acquisition comes from TechCrunch , and Apple has essentially confirmed the acquisition by issuing its standard statement on the topic.Lattice uses machine learning techniques to take mass amounts of initially unusable data and turn it into properly labeled and categorized data that can be used for AI, medical research, and more.
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分析すると CCTV をニュースか Nvidia の 人工知能 はチームをホームあなた.|Home News How Nvidia’s Artificial Intelligence Will Team up With CCTV to Analyse Your…

オープンデータ関連のニュースです。

http://trendintech.com/2017/05/13/how-nvidias-artificial-intelligence-will-team-up-with-cctv-to-analyse-your-every-move/

日本語

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The ultimate all-seeing surveillance system could soon be here with thanks to Nvidia. The company’s new venture is called Metropolis and is an integration like no other between CCTV and complex machine learning artificial intelligence. It’s designed to be able to continuously process and contextualize data collected from over a billion cameras and it could be hitting our streets as early as 2020. Metropolis has the ability to analyze and interpret 30 billion images per second. One of the great things about the system is it could be used to create autonomous drones that can stream video back from the sky, or be used as a security robot looking for any trouble that may be lurking. This system could also be used as the next wave of security camera recording panoramic views of our streets.
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Apple は $200 M の「暗いデータ」スペシャ リスト格子データを取得します。|Apple acquires "dark data" specialist Lattice Data for $200M

オープンデータ関連のニュースです。

http://appleinsider.com/articles/17/05/13/apple-acquires-dark-data-specialist-lattice-data-for-200m

日本語

その最新の購入では、アップル社は、分析することができる構造化されたデータセットを効率的に構築するために “暗いデータ” を処理するために機械学習を使用しての専門家、ラティス data inc. を取得するために約 $200000000 を支払っている。 購入がテックク ランチから報告され、アップルはそれのいつもの決まり文句の確認と答えた「小さい技術企業購入時から、我々 一般的に議論しないでください私たちの目的や計画」。格子、メンロー パーク、カリフォルニア州在住だった”DeepDive、”統計的推論のためのフレームワークとして機能として知られているスタンフォード大学研究プロジェクトを製品化。事務所のウェブサイトは言う「私たちの使命は重大な実世界問題の暗いデータ値ロックを解除します。
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English

In its latest buy, Apple has paid around $200 million to acquire Lattice Data Inc., a specialist in using machine learning to process “dark data” to efficiently build structured data sets that can be analyzed. The buy was reported by Tech Crunch, and Apple responded with its usual boilerplate confirmation that it “buys smaller technology companies from time to time and we generally do not discuss our purpose or plans.”Lattice, based in Menlo Park, California, was commercializing a Stanford University research project known as “DeepDive,” acting as a framework for statistical inference. The firm’s website says “our mission is to unlock the value in dark data for critical real-world problems.
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機械学習 の才能のためのレースを続け、アップル マドロナ支持格子データの取得|The race for machine learning talent continues, as Apple acquires Madrona-backed Lattice Data

オープンデータ関連のニュースです。

https://www.geekwire.com/2017/race-machine-learning-talent-continues-apple-acquires-lattice-data/

日本語

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Data-crunching startup Lattice Data has been acquired by Apple, as the battle for machine learning talent continues between big tech companies. A source familiar with the company confirmed the deal, first reported by TechCrunch and sort-of confirmed by Apple with its standard acquisitions-related line: “Apple buys smaller technology companies from time to time and we generally do not discuss our purpose or plans.” TechCrunch reported that the deal cost Apple around $200 million. That’s the same amount of money that Apple shelled out for Seattle-based machine learning startup Turi, which was led by University of Washington computer scientist Carlos Guestrin and was acquired last summer.
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FGV とラトガース大学ホスト公共部門のデータ分析についての議論|FGV and Rutgers University host debate on public sector data analytics

オープンデータ関連のニュースです。

http://www.military-technologies.net/2017/05/13/fgv-and-rutgers-university-host-debate-on-public-sector-data-analytics/

日本語

ラトガース大学と提携、公共および経営管理 (EBAPE) の FGV のブラジル人学校、公共部門会計 & データ分析談話会」「5 月 26 日、15:20、に 8 から講堂 1014 FGV のリオ ・ デ ・ ジャネイロで主なオフィスでが開催されます。イベントは研究および公共部門の高度な分析の方法論を実装する利点を取り巻く実用的な見通しに基づいて洞察力を共有します。 ゼミは、レンダリング監査プログラムのパフォーマンスおよび公共団体の財務状況に関する保証を提供する責任のリソースが適切に費やされているを確保する透明性と説明責任は、パブリック リソースの管理、需要を分析します。
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English

In partnership with Rutgers University, FGV’s Brazilian School of Public and Business Administration (EBAPE) will host the “Public Sector Accounting & Data Analytics Colloquium” on May 26, from 8 a.m. to 3:20 p.m., at auditorium 1014 of FGV’s main office in Rio de Janeiro. The event will share insights based on research and practical outlooks surrounding the benefits of implementing advanced analytical methodologies in the public sector. The Colloquium will analyze the growing demand for transparency and accountability within the management of public resources, rendering public auditors responsible for providing guarantees regarding the performance of programs and the financial status of public entities, ensuring its resources are spent appropriately.
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インドでは、インドの作る世界 ‘-ヒントし、アニメーション業界の転換点|’Make in India, make for India, make for the world’ – tips and tipping points in the animation industry

オープンデータ関連のニュースです。

https://yourstory.com/2017/05/make-india-make-india-make-world-tips-tipping-points-animation-industry/

日本語

継続的な GAFX 2017 会議バンガロールで、この週末は、アニメーション、ビジュアルエフェクト、ゲームの有利な魅力的なフィールドのリングサイド ビューを提供しています。業界は主要な創造的な変化を受けているインドのデザイナーや開発者のための機会の富を提供しています。 デジタル ワークフローにおいては、脚本や物語などグローバル配布、データ分析、および VR ・ AR 波、伝統の技を再定義されています。この洞察力第 YourStory は、いくつかの課題や分野での機会を発掘するピクサー、情報および群集からの専門家の頭脳をおすすめ (また見なさい私たちの以前のレビュー記事業界のダイナミクスとインドの見通し)。
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English

The ongoing GAFX 2017 conference this weekend in Bengaluru offers a ringside view of the lucrative and attractive fields of animation, visual effects and gaming. The industry is undergoing major creative transformations, and offers a wealth of opportunity for Indian designers and developers. In a world of digital workflow, global distribution, data analytics, and VR/AR waves, traditional skills such as scriptwriting and storytelling are being redefined. In this third insight article, YourStory picks the brains of experts from Pixar, SideFX and Assemblage to unearth some of the challenges and opportunities in the field (see also our earlier review articles on industry dynamics and outlook for India).
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カイルにことができませんでしたどのようにマイクロソフトの物語リミックス|How Microsoft’s Story Remix does what Clippy couldn’t

オープンデータ関連のニュースです。

https://www.engadget.com/2017/05/13/microsoft-story-remix-deep-learning/

日本語

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English

If it works as advertised, it could be a transformational app for consumers fed up with their ever-growing libraries of digital media. It’s the latest attempt by Microsoft to make your life easier by predicting what you want. But, as you’ll recall, that hasn’t always worked out well for the company. “Clippy was actually a very early attempt at trying to look at patterns of what you’re doing, but it didn’t have the benefit of all this deep learning tech that’s available now,” said Microsoft Corporate Vice President Chris Pratley, the man behind Story Remix, in an interview with Engadget. With his previous project, Sway, he tried to rethink how you could create text and media-based stories without worrying about formatting worries. Story Remix is the next logical step.
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未来の車はドライバーの感情を認識するように設定します。|Future Cars Set To Recognize Driver’s Emotions

オープンデータ関連のニュースです。

http://www.itechpost.com/articles/98237/20170512/future-cars-set-recognize-drivers-emotions.htm

日本語

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The cars of tomorrow will know what the mood of its driver is. Self-driving cars of the future will have the capacity to change its driving style depending on the current emotion of the person behind the wheel. In other words, if the driver is nervous, the smart vehicle will drive slower and more carefully. The technology that will allow such feat is courtesy of Affectiva. The company is known for working on the effects of emotion analytics on marketing. It is now training its sights on developing driver emotion recognition as well as real-time facial analysis that will prove useful to the automotive industry. The deep learning technology, when applied on cars, can minimize the risks on the road.
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GPU 技術会議について知りたいすべて|Everything you need to know about GPU Technology Conference

オープンデータ関連のニュースです。

https://appdevelopermagazine.com/5207/2017/5/12/everything-you-need-to-know-about-gpu-technology-conference/

日本語

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Everything you need to know about GPU Technology Conference Posted Friday, May 12, 2017 by Everyone is having a great time this year at NVIDIA’s GPU Technology Conference, so if you don’t make it this year, there is always next year. The major topic this year that has stood out from the rest has to be Artificial Intelligence. As the cutting edge of AI technology gets closer to making better faster smarter mechanical beings, computer processing speeds too must increase to keep up.
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クレイ AI 用のクラスター化されたスーパー コンピューターをロールします。|Cray Rolls Clustered Supercomputers for AI

オープンデータ関連のニュースです。

http://www.eetimes.com/document.asp%3Fdoc_id%3D1331738

日本語

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