オープンデータとプログラミング

新しいレポートが要求する: オーストラリア政府は、オープン データ をアプローチする必要がある方法ですか?|New report asks: How should the Australian Govt approach open data?

オープンデータ関連のニュースです。

https://itbrief.com.au/story/new-report-asks-how-should-australian-govt-approach-open-data/

日本語

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English

New report asks: How should the Australian Govt approach open data? How should Australian government organisations applying open data initiatives to support information sharing? That is the main question put forward by a number of NSW agencies in a new report. The research report, titled Conditions Enabling Open Data and Promoting a Data Sharing Culture 2017, looks at how five international jurisdictions — New Zealand, the UK, US, France and Canada  — are using open data. “The first of its kind in Australia, the research demonstrates how Open Data is being achieved internationally through an examination of leading jurisdictions.
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データベースにおける機械学習産業を変更し、命を救う方法|How Machine Learning In The Database Can Change Industries And Save Lives

オープンデータ関連のニュースです。

https://arc.applause.com/2017/05/15/microsoft-artificial-intelligence-database/

日本語

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“Expecting terabytes of data to move is just not possible. And you want real time intelligence as data is coming in.” It seems like every year Microsoft CEO Satya Nadella tweaks the company’s technological direction. Microsoft was the productivity company. Then the mobile first, cloud first company. After the Microsoft Build 2017 developer conference in Seattle last week, Microsoft is now the intelligent cloud, intelligent edge company. A casual observer might think that Nadella can’t get his story straight. What is Microsoft, really? That’s the wrong frame of mind to take. The “new” Microsoft knows much better what it is than anytime in the last 15 years. Nadella’s yearly declamations are really about the evolution of computing.
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Riminder は 深い学習 を使用してジョブに人に合わせて|Riminder uses deep learning to better match people to jobs

オープンデータ関連のニュースです。

https://techcrunch.com/2017/05/15/riminder-uses-deep-learning-to-better-match-people-to-jobs/

日本語

手で 30,000 再開を並べ替えについて効率的な絶対に何もありません。採用担当者は、山で迷子になる偉大な候補を持っている志願者を評価する月を過ごします。TechCrunch のスタートアップ戦場の舞台でフランスのスタートアップ Riminder 製その深い学習搭載プラットフォームが採用担当者に増大させるためのケース-求人のそれらよりよい表面理想的な候補を支援します。 Riminder は、同様の役職名で、世界で現在の従業員から再開に対する申請履歴書を比較することによって開いているジョブの候補者ランキングを生成します。カーテンの裏 Riminder は、コンピュータ ビジョンのカクテルを使用して、どのような理想的な再開のプロファイルを作成する自然言語処理は、特定の役割のような捜すべきであります。
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English

There’s absolutely nothing efficient about sorting through 30,000 resumes by hand. Recruiters spend months evaluating applicants only to have great prospective candidates get lost in the pile. On the stage of TechCrunch’s Startup Battlefield, French startup Riminder made the case for how its deep learning-powered platform could augment recruiters — helping them better surface ideal contenders for job openings. Riminder generates candidate rankings for open jobs by comparing applicant resumes against resumes from current employees and others in the world with similar job titles. Behind the curtain, Riminder uses a cocktail of computer vision and natural language processing to build profiles of what ideal resumes should look like for specific roles.
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とき、AI は伝統的なスーパー コンピューター シミュレーションを置き換えますか。|When Will AI Replace Traditional Supercomputing Simulations?

オープンデータ関連のニュースです。

https://www.nextplatform.com/2017/05/15/will-ai-replace-traditional-supercomputing-simulations/

日本語

一世代前のサイエンス フィクションは、スーパー コンピューターの可能性があります推論によって取り替えられた人間の未来を予測しました。イベントの予想外のねじれ、それはスーパー コンピューターの主要な出力は、表示されます-科学的シミュレーション-インテリジェンスのさらに高い順で交換することができます。 我々 は常にスーパー コンピューティング ハードウェアを必要が、科学技術計算、またはされる高パフォーマンスのコンピューティングの広大なフィールドも破壊的な変更の十字線で科学計算コード開発者は、将来の見通しを変更することがエネルギー効率、細かな科学的な発見に新たな扉を開くでした。
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English

The science fiction of a generation ago predicted a future in which humans were replaced by the reasoning might of a supercomputer. But in an unexpected twist of events, it appears the it is the supercomputer’s main output—scientific simulations—that could be replaced by an even higher order of intelligence. While we will always need supercomputing hardware, the vast field of scientific computing, or high performance computing, could also be in the crosshairs for disruptive change, altering the future prospects for scientific code developers, but opening new doors in more energy-efficient, finer-grained scientific discovery.
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デジタル混乱のターン テーブルを印刷ポッド キャスト|Print podcasts turn tables on digital disruption

オープンデータ関連のニュースです。

http://www.theaustralian.com.au/business/media/print-podcasts-turn-tables-on-digital-disruption/news-story/ed5b76fec01a13cb4f5084914b6562c3

日本語

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To use this website, cookies must be enabled in your browser. To enable cookies, follow the instructions for your browser below. There is a specific issue with the Facebook in-app browser intermittently making requests to websites without cookies that had previously been set. This appears to be a defect in the browser which should be addressed soon. The simplest approach to avoid this problem is to continue to use the Facebook app but not use the in-app browser.
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予算 2017: オーストラリアの使用信用度の得点を改善 データが開く されますか。|Budget 2017: Will open data improve Australia’s use of credit scores?

オープンデータ関連のニュースです。

https://www.finder.com.au/budget-2017-will-open-data-improve-australias-use-of-credit-scores

日本語

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Proposals to open up access to banking data in Budget 2017 could make Australians much savvier in their use of credit scores, but research suggests most Australians aren’t savvy enough to take advantage of the changes. A key plank of the banking reforms proposed in the budget is giving Australians broader access to the information held about them by financial institutions. “The Government will increase consumer choice and improve competition in banking by giving customers access to and control over their banking data by introducing an open banking regime in Australia,” the budget papers note. “Increased access to data will improve the information available to consumers and better enable innovative business models to create new products tailored to individuals.
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深い学び の冒険の次の段階|The Next Phase in The Deep Learning Adventure

オープンデータ関連のニュースです。

http://i-hls.com/archives/76488

日本語

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This post is also available in: עברית (Hebrew) A software company that’s developed a deep learning network software that makes smart products like robots and drones more autonomous and useful recently announced a major advance in deep learning. With the company’s new software that can learn with or without the cloud, the risk of forgetting previous knowledge is eliminated. Neurala’s neural network software uses a bio-inspired approach to mimic the way the human brain learns and analyzes its environment. The software enables a variety of smart products, from industrial drones to consumer electronics and cameras.
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機脳人間擬態進展|Machine Brains Advance Towards Human Mimicry

オープンデータ関連のニュースです。

https://www.forbes.com/sites/adrianbridgwater/2017/05/14/machine-brains-advance-towards-human-mimicry/

日本語

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Computer ‘brains’ in the world of Artificial Intelligence don’t actually function organically, like a human brain, obviously. But as we continue to build new and ever more powerful layers of functionality into the machine brain, they can start to ‘ape’ some of our human imperfections and nuances in an attempt to be more like us. Software application developers (and their IT ‘Ops’ operations buddies) are working hard to move statistical models into computer brains and advance not just AI, but the inextricably closely related area of machine learning which helps feed the practice of ‘automation’, which in and of itself has become the darling buzzword of the IT industry in recent times.
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Salesforce は、機械学習を用いたテキストを自動的に集計するアルゴリズムを作成しました。|Salesforce created an algorithm that automatically summarizes text using machine learning

オープンデータ関連のニュースです。

https://www.theverge.com/2017/5/14/15637588/salesforce-algorithm-automatically-summarizes-text-machine-learning-ai

日本語

今年は、ソーシャル メディアの自分の半分以上の日読書電子メール、記事、または投稿を費やすと予想されている、事態は悪化するばかりです。この問題を解決するには、Salesforce の研究者は使用して、機械 MIT テクノロジー ・ レビューによると「驚くほど一貫性と正確な”の要約を生成する学習アルゴリズムを開発しました。 自動要約を Salesforce は、さまざまな顧客サービスに配慮した製品を生成するための特に有用な技術となります。会社のノート販売またはダイジェスト メールすぐにし、顧客に焦点を当てた多くの時間を過ごすにそれらを可能にする情報の顧客サービス担当者によって結果の要約がされる可能性があります。
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This year, people are expected to spend more than half their day reading e-mail, articles, or posts on social media, and it’s only going to get worse. To help solve this problem, researchers at Salesforce have developed an algorithm that uses machine learning to produce “surprisingly coherent and accurate” summaries according to MIT Technology Review. Automatic summarization would be a particularly useful technology for Salesforce, which produces a variety of customer-service focused products. The company notes that the resulting summaries could be used by sales or customer service representatives to quickly digest e-mails and information, which would allow them to spend more time focused on their customers.
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Microsoft Build2017会議で最大のアナウンスメントのリスト

オープンデータ関連のニュースです。

http://news.thewindowsclub.com/announcements-at-microsoft-build-2017-conference-89677/

日本語

Microsoft Build2017会議で最大のアナウンスメントのリスト

今年5月、マイクロソフトの「新発表および発売月」と賞賛されます。数日前、Microsoftは、新しい「Surface」ノートパソコンおよびWindowsの新10Sのオペレーティング・システムを起動します。これは先月、Microsoftは5月10日~12日に開催されたMicrosoft Build2017大会が開かれた。この会議中の多くの新たな発表を行った。

ここでの大きな発表のそれのごく一部にすぎない。

これら10の興味深い発表の他に、Microsoftは、Windows Store、VR Motionコントローラー、認知サービスAIや機械学習アプリでiTunes、Mac用のVisual Studio、HPのCortanaスピーカーなどの他のいくつかの発表を行った。

これらの発表によれば、Microsoftは間違いなくテクノロジーに大きな変化をもたらしています。
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List of the biggest announcements at Microsoft Build 2017 conference The month of May this year can be celebrated as the ‘new announcement and launches month’ for Microsoft. Just a few days back, Microsoft launched new Surface Laptop and the new Windows 10 S operating system along with it. This month, Microsoft also held the Microsoft Build 2017 conference during 10th to 12th May. A lot of new announcements were made during this conference.
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