オープンデータとプログラミング

Open Data

Open Data

Adobe、コーネル AI 別の 1 つの写真のスタイルを転送します。|Adobe, Cornell AI transfers one photo’s style to another

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オープンデータ関連のニュースです。

https://www.slashgear.com/adobe-cornell-ai-transfers-one-photos-style-to-another-31480436/

日本語

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Adobe, Cornell AI transfers one photo’s style to another There is no doubt that artificial intelligence, machine learning, and neural networks have experienced huge strides in progress, but of their applications have been on things with “hard edges”. Those include search results, translation, board games, etc. Recently, however, progress is also being made in areas of computer vision, imaging, and graphics, for applications that are usually considered more “subjective”. Like transferring one photo’s style unto another photo. Researchers from Adobe and Cornell University have developed a deep-learning neural network that does exactly that, and the results are very convincing indeed.
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Open Data

ケイ質砂岩腫瘍の腫瘍抗原同定のプラットフォームから提示された最初のパブリック データ.|First Public Data Presented from Gritstone Oncology’s Tumor Antigen Identification Platform for …

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オープンデータ関連のニュースです。

http://finance.yahoo.com/news/first-public-data-presented-gritstone-120000583.html

日本語

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Gritstone Oncology, a next-generation personalized cancer immunotherapy company, today announced the first reported data supporting its novel approach to tumor-specific neoantigen (TSNA) identification through integrated tumor tissue analysis and deep learning. The data are being presented in the Tumor Antigens and Adaptive Immunity poster session on Sunday, April 2 from 1:00 – 5:00 PM EDT at the American Association for Cancer Research (AACR) Annual Meeting 2017 in Washington, D.C. “For years, cancer immunotherapy has been one of the most exciting fields in oncology research, yet it also poses some of the greatest challenges,” said Andrew Allen, M.D., Ph.D., co-founder, president and chief executive officer of Gritstone Oncology.
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Open Data

フィリップス、PathAI は、乳がん診断のチーム|Philips, PathAI team up on breast cancer diagnostic

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オープンデータ関連のニュースです。

http://www.fiercebiotech.com/deals/philips-pathai-team-up-breast-cancer-dx

日本語

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Philips is partnering with PathAI, which is developing deep-learning algorithms for the detection and diagnosis of disease, to improve the speed and accuracy of cancer diagnosis. Their first focus will be breast cancer. The pair aims to apply deep learning to “massive” pathology datasets to inform diagnosis and treatment decisions, Philips said in a statement Wednesday. They will first develop deep-learning applications to automatically spot cancerous lesions in breast cancer tissue. This application could ease the burden on pathologists, who have historically reviewed tumor tissue samples manually. While tumor analysis is essential for diagnosis, doing it manually is time-consuming and may put pressure on pathologists to read and analyze slides more quickly, Philips said.
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Open Data

1 日 Photoshop が即座に別の写真のスタイルをコピーすることができます。|One Day Photoshop Might Let You Instantly Copy Another Photo’s Style

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オープンデータ関連のニュースです。

http://gizmodo.com/one-day-photoshop-might-let-you-instantly-copy-another-1793889339

日本語

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Ever wonder why your photos never turn out as amazing those posted by your favorite Instagrammer? There’s probably a lot of post-processing happening in Photoshop you don’t see. But instead of poking at sliders for an hour, computer scientists want to make it incredibly easy for even amateur photographers to achieve results comparable to a professional’s.
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Open Data

画期的な人工知能研究者がトロント ラボからの根本的に異なる’ のアイデアを期待しています。|Groundbreaking AI researcher hopes for ‘radically different’ ideas from Toronto lab

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オープンデータ関連のニュースです。

http://www.cbc.ca/news/technology/vector-institute-ai-toronto-geoffrey-hinton-deep-learning-1.4049858

日本語

機械学習の研究の最も大きい名前の 1 つはベクター研究所、トロントの新しい人工知能研究ハブの高い期待を持ってください。 ジェフリー ・ ヒントン、機械学習と呼ばれる深い研究の人気のあるブランチの父親の一つと考え学習、研究所の主席科学顧問です。彼は任意の意思決定力を持っていない-それはちょうどボランティアの位置 — 彼は研究所の研究者が彼らの努力を集中する必要があります領域をお勧めすることができますが。彼はすでにいくつかのアイデアを持っています。 CBC のニュースとのインタビューでヒントンは言った「私の主な関心はニューラル ネットの根本的に異なる種類を見つけるしようとしています」。彼は問題解決に言及した人間の脳のニューロン間の接続をシミュレートするために設計されたソフトウェア。
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One of the biggest names in machine learning research has high hopes for the Vector Institute, Toronto’s new artificial intelligence research hub. Geoffrey Hinton, considered one of the fathers of a popular branch of machine learning research called deep learning, is the institute’s chief scientific adviser. He doesn’t have any decision-making power — it’s just a volunteer position — but he can suggest areas where the institute’s researchers should focus their efforts. And he already has some ideas. “My main interest is in trying to find radically different kinds of neural nets,” said Hinton in an interview with CBC News. He was referring to problem-solving software designed to simulate the connections between neurons in the human brain.
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Open Data

アリババのアップグレード機医療を向上させるためのプラットフォームを学習、中国で製造|Alibaba’s upgraded machine learning platform to help improve healthcare, manufacturing in China

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オープンデータ関連のニュースです。

https://www.mis-asia.com/tech/applications/alibabas-upgraded-machine-learning-platform-to-help-improve-healthcare-manufacturing-in-china/

日本語

PAI 2.0 は簡単に大規模なデータ収集やモデリングを導入するお客様にも役立ちます。 アリババ クラウド、クラウド ・ コンピューティング、アリババ グループの腕は、そのマシンの学習プラットフォーム簡単に大規模なデータ マイニング、モデリングを導入するお客様を支援するパイをアップグレードしています。 PAI 2.0 はアプサラによって供給されて-アリババ雲の大規模コンピューティング エンジン-超大規模分散コンピューティング機能を提供します。ペタバイト ・ レベルのコンピューティング タスクを毎日処理する組織をことができます。 プラットフォームは、アプリケーション プログラム インターフェイス (API) を展開する場合も 1 クリック機能をサポートします。さらに、それは開発者は簡単に、簡単なドラッグ アンド ドロップ機能を使用してワークフローにコンポーネントを含めることができるデータ ビジュアライゼーション機能装備です。 ほかに、パイ 2。
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English

PAI 2.0 will also help customers easily deploy large-scale data mining and modeling. Alibaba Cloud, the cloud computing arm of Alibaba Group, has upgraded its machine learning platform PAI to help customers easily deploy large-scale data mining and modeling. PAI 2.0 is powered by Apsara—Alibaba Cloud’s large-scale computing engine—to provide ultra-large-scale distributed computing capabilities. It allows organisations to handle petabyte-level of computing tasks daily. The platform also supports a one-click function when deploying an application programme interface (API). In addition, it is equipped with data visualisations capabilities that allow developers to quickly include components into workflows with its easy drag-and-drop features. Besides that, PAI 2.
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Open Data

SP ジャインはなるそれの後の最も求められたポスト大学院プログラムを提供する唯一の機関です.|SP Jain becomes the only institution to offer Post Graduate Programs for the most sought after IT …

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オープンデータ関連のニュースです。

http://indiaeducationdiary.in/sp-jain-becomes-institution-offer-post-graduate-programs-sought-automation-careers/

日本語

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Mumbai: SP Jain School of High Technology has become the only school in the country to offer Post Graduate Specialist certification programs in various emerging technology domains including Virtual Reality, Machine Learning and Cyber Security. These programs provide specialist training to IT professionals in emerging technology domains which are replacing traditional IT skills & jobs. The programs at SP Jain School of High Technology provide students the technology, programming & strategic skills to solve complex business problems by using various tools as well as deep industry exposure through knowledge & recruitment partnerships with leading partners in these domains.
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Open Data

機械学習を使用することを学ぶ|Learn to use machine learning

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オープンデータ関連のニュースです。

https://www.theregister.co.uk/2017/03/29/learn_to_use_machine_learning/

日本語

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Promo Artificial Intelligence has crested the top of the Gartner hype cycle, and is on the lips of every technical marketing exec. Companies are doing things with it, but many projects are still proving out the concepts. You can’t talk about the weather these days without a gimmicky, gee-whiz weather chatbot trying to impress you with its opinion on the rain – and sometimes getting it wrong. And let’s just pretend Microsoft Tay never happened. There’s a chasm between many current AI deployments and a mature, grown-up approach with sensible business benefits. What do companies need to know to get from here to there? When artificial intelligence first emerged as a discipline, scientists had great hopes for it.
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Open Data

フィリップス、PathAI 共同乳がんの診断の 深い学習 を開発するため|Philips, PathAI Collaborate to Develop Deep Learning for Breast Cancer Diagnosis

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オープンデータ関連のニュースです。

https://360dx.com/business-news/philips-pathai-collaborate-develop-deep-learning-breast-cancer-diagnosis

日本語

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NEW YORK (360Dx) – Royal Philips said today that it is collaborating with PathAI, a company that develops artificial intelligence for pathology, to develop solutions that make diagnosis of cancer and other diseases more precise and accurate. The companies aim to build deep-learning applications in computational pathology that may be applied to massive pathology data sets to better inform diagnostic and treatment decisions.
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Open Data

データ空腹アルゴリズムと愛の渇き|Data-Hungry Algorithms and the Thirst for AI

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オープンデータ関連のニュースです。

https://www.hpcwire.com/2017/03/29/data-hungry-algorithms-thirst-ai/

日本語

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At Tabor Communications’ Leverage Big Data + EnterpriseHPC Summit in Florida last week, esteemed HPC professional Jay Boisseau, chief HPC technology strategist at Dell EMC, engaged the audience with his presentation, “Big Computing, Big Data, Big Trends, Big Results.” Trends around big computing and big data are converging in powerful ways, including the Internet of Things (IoT), artificial intelligence (AI) and deep learning. Innovating and competing is now about big, scalable computing and big, fast data analytics – and “those with the tools and talent will reap the big rewards,” Boisseau expressed. Prior to joining Dell EMC (then Dell Inc.) in 2014, Boisseau made his mark as the founding director of the Texas Advanced Computing Center (TACC).
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