オープンデータとプログラミング

注目のデータ: ビジネスの気候上の データを開く|Featured data: Open Data on business climates

オープンデータ関連のニュースです。

https://www.europeandataportal.eu/fr/highlights/featured-data-open-data-business-climates

日本語

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Creating a business friendly environment for existing small and medium-sized enterprises (SMEs) and potential entrepreneurs is one of the European Union’s main objectives. Also on a national level, having a favourable business climate is often seen as an important factor to create employment and to drive economic growth. What can Open Data tell us about business climates in Europe? This dataset provides some insights in the expectations and trust of Spanish companies if it comes to the economic outlook in their country. This dataset is updated once each quarter, as it is based on a quarterly survey. The expectations regarding the business climate are often related to consumer sentiment.
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ベツレヘム考慮シビック ハッカーを魅惑するためにダンプの データを開く|Bethlehem considers open data dump to lure civic hackers

オープンデータ関連のニュースです。

http://www.mcall.com/news/local/mc-bethlehem-open-data-dump-20170407-story.html

日本語

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Ben Reppert and two old Penn State classmates have dreamed up a meteorological map to predict where the best sunrises and sunsets will occur on any given day. Streaked with blue and golden hues, the SunsetWx.com is based on an algorithm they designed using cloud cover, pressure, humidity and other free data dumped daily by the National Oceanic and Atmospheric Administration. “It’s quite interesting what you can do if you have this data available … and you put people with different minds and backgrounds together,” said Reppert, who began working with the data as a Liberty High School student. “You could do some pretty cool stuff.” And many are. In Philadelphia, for example, Code for Philly used regional demographic and other data to create a map of recommended routes for bicyclers.
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アマゾンを AI の次のフロンティアに刻みます: クラウド|Amazon blazes a trail to the next frontier in AI: the cloud

オープンデータ関連のニュースです。

http://siliconangle.com/blog/2017/04/22/amazon-blazes-trail-next-frontier-ai-cloud/

日本語

コムは時々 Google 社、マイクロソフト社、Facebook 社、米 IBM 社と並んで人工知能のトップ リーダーのリストに現れる doesn’t変更について。 アマゾン最高経営責任者ジェフ ・ ベゾス最近明らかに彼の年間の手紙で株主に彼は機械学習を望む、AI の分野を教える彼の会社の未来への鍵として明示的にプログラミングされてなく学習するコンピューター。 特に、他の AI 指導者のような今日、アマゾンを中心に原始的なファッションの方法脳の学習でエミュレートを目指して深い学習ニューラル ネットワーク。深い学習は、Google の自動運転車に Amazon の Alexa 音声アシスタントからのすべてを有効にする、最後の数年では、音声認識や画像認識の大きな進歩につながっています。
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Amazon.com Inc. sometimes doesn’t show up on lists of top leaders in artificial intelligence alongside Google Inc., Microsoft Corp., Facebook Inc. and IBM Corp. That’s about to change. Amazon Chief Executive Jeff Bezos recently revealed in his annual letter to shareholders that he views machine learning, the branch of AI teaches computers to learn without being explicitly programmed, as key to the future of his company. In particular, like other AI leaders today, Amazon is focused on deep learning neural networks that aim to emulate in primitive fashion the way the brain learns. Deep learning has led to big advances in speech and image recognition in the last few years, enabling everything from Amazon’s Alexa voice assistant to Google’s self-driving cars.
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殺人動画再び Facebook がコンテンツを処理する方法についての質問を上げる|Murder Video Again Raises Questions About How Facebook Handles Content

オープンデータ関連のニュースです。

http://www.npr.org/sections/alltechconsidered/2017/04/21/525042474/murder-video-again-raises-questions-about-how-facebook-handles-content

日本語

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Murder Video Again Raises Questions About How Facebook Handles Content Video of a murder uploaded to Facebook this week upset many users, especially since it took Facebook two hours to take it down. But the incident illustrates a dilemma for the company as it becomes an open platform for both recorded and livestreamed video. Facebook CEO Mark Zuckerberg was contrite about the incident when he appeared on stage at the company’s F8 developer’s conference. “Our hearts go out to the family and friends of Robert Godwin Sr.,” said Zuckerberg, referring to the man whose murder was posted on Facebook. “And we have a lot of work, and we will keep doing all we can to prevent tragedies like this from happening.” But, doing more may not be so easy for Facebook.
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ラファイエットは、空気質データの IoT をタップします。|Lafayette taps IoT for air quality data

オープンデータ関連のニュースです。

https://gcn.com/articles/2017/04/21/smart-lafayette.aspx

日本語

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A coalition in Lafayette, La., is starting to take advantage of the city’s gigabit fiber and utility networks to provide near-real-time information on air quality. Lafayette won a $40,000 grant through the Environmental Protection Agency’s Smart City Air Challenge in December to deploy air quality sensors around the city and make the resulting data publicly accessible. Partners in the project include the Lafayette Consolidated Government, the University of Louisiana at Lafayette and CGI Federal. “We are deploying 300 air quality sensors around the city and parish that are going to be measuring ozone and particulate matter,” CGI Federal Vice President William LaBar told GCN.
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研究: IBM マシン ビジョン技術は、糖尿病性眼病の早期発見に役立ちます|Research: IBM Machine Vision Tech Helps with Early Detection of Diabetic Eye Disease

オープンデータ関連のニュースです。

https://www.healthcare-informatics.com/news-item/analytics/research-ibm-machine-vision-tech-helps-early-detection-diabetic-eye-disease

日本語

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IBM has released the results of new research using deep learning and visual analytics technology to advance early detection of diabetic retinopathy (DR), a diabetes complication that affects the eyes. The research found that a new method created by the IBM team achieved an accuracy score of 86 percent in classifying the severity of the disease across the five levels recognized on the international clinical DR scale (no DR; mild; moderate; severe; proliferative DR). Potentially, this research could have the impact of helping doctors and clinicians have a better view of disease progression and determine treatment, according to officials.
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マシンと思うし、自分で感じるモーリス ・ コンティ: できますか。|Maurice Conti: Can Machines Think And Feel For Themselves?

オープンデータ関連のニュースです。

http://wvxu.org/post/maurice-conti-can-machines-think-and-feel-themselves

日本語

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Part 3 of the TED Radio Hour episode The Digital Industrial Revolution. Futurist Maurice Conti says we’ve entered a new era where machines and humans partner to do what neither can do alone. He calls it the “Augmented Age.” Maurice Conti is a designer and innovator. Currently, he is the Director of Applied Research and Innovation at Autodesk — a 3-D design and engineering software company. His research focuses on how future innovations and advanced robotics will help make our world a better place. On the show today, ideas about the digital industrial revolution and how we as humans will fit into all of it. MAURICE CONTI: So we’re going to be, you know, Iron Man plus Spock plus, you know, name your series of superheroes. CONTI: Yeah, so my name is Maurice Conti.
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コンピューター援用は初期糖尿病網膜症の診断につながる可能性|Computer-aided method could lead to early diabetic retinopathy diagnostic

オープンデータ関連のニュースです。

http://www.fiercebiotech.com/medical-devices/computer-aided-method-could-lead-to-early-diabetic-retinopathy-dx

日本語

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IBM developed a method combining deep learning and visual analytics to detect and gauge the severity of diabetic retinopathy from an eye image. The team found their method beat out other published efforts that use deep learning. People with diabetes may develop diabetic retinopathy, where high blood sugar levels damage blood vessels in the retina. These vessels may swell and leak, or close, stopping blood flow altogether, according to the American Academy of Ophthalmology. The leading cause of blindness among diabetics, diabetic retinopathy is classified into five levels of severity. If left untreated, it can cause permanent blindness, but early detection is crucial in warding off vision loss.
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人工知能とヘルスケアを過給します。|Supercharge healthcare with artificial intelligence

オープンデータ関連のニュースです。

http://www.cio.com/article/3191593/artificial-intelligence/supercharge-healthcare-with-artificial-intelligence.html

日本語

パターン認識アルゴリズムに変換できる馬シマウマ。冬のシーンは夏になることができます。人工知能のアルゴリズムは、芸術を生成できます。ロボット技師は、驚くべき精度であなたの x 線を分析できます。 我々 は、パターン認識アルゴリズムと人工知能 (a. i.)、視覚的な診断と x 線、乳房がんスライドと一般的な正常・異常の健康パターン相関を含む他の医療サインを染色の観察で人間よりもより正確なポイントに達しています。 前にオフを実行し、すべての医師を火災、みましょう理解 a. i. の風景と技術の広範な機能。A. i. は、医師を置き換えることはありません-それはそれらに力を与えるし、拡大、患者の転帰を改善するのに役立ちます。
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Pattern-recognition algorithms can transform horses into zebras; winter scenes can become summer; artificial intelligence algorithms can generate art; robot radiologists can analyze your X-rays with remarkable precision. We have reached the point where pattern-recognition algorithms and artificial intelligence (A.I.) are more accurate than humans at the visual diagnosis and observation of X-rays, stained breast cancer slides and other medical signs involving general correlations between normal and abnormal health patterns. Before we run off and fire all the doctors, let’s better understand the A.I. landscape and the technology’s broad capabilities. A.I. won’t replace doctors — it will help to empower them and extend their reach, improving patient outcomes.
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5 つの理由なぜトロントは Urbery の露伴 Jayasekera から技術のパイオニア|Five reasons why Toronto is a pioneer in tech from Urbery’s Rohan Jayasekera

オープンデータ関連のニュースです。

http://betakit.com/five-reasons-why-toronto-is-a-pioneer-in-tech-from-urberys-rohan-jayasekera/

日本語

リーグ創設者兼 CEO マイク Serbinis は、1 月に TechTO で発表されたとき、彼は完全な部屋を尋ねた起業家の彼ら「正直信じる」かどうか彼らが世界を変える大規模な方法でトロントに住んでいる間。 今月、開催、最新 TechTO 露伴 Jayasekera、Urbery、最高技術責任者、顕著な「はい」と回答トロントが世界クラスのハイテク都市を何十年もされていることを示すための 5 つ例を共有。 Jayasekera は、トロント、1974 年に初のパーソナルコンピューターの先駆者が、この事実を忘れて、新しい技術が出ていると述べた。 「これは実際に技術で正常です。パイオニア忘れて取得もの成長し、変化するため、”と彼は言った。
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When LEAGUE founder and CEO Mike Serbinis presented at TechTO in January, he asked a room full of entrepreneurs whether they “honestly believe” they can change the world in a massive way, while living in Toronto. At the latest TechTO, held earlier this month, Rohan Jayasekera, the chief technology officer at Urbery, answered that question with a resounding “yes,” and shared five examples to show that Toronto has been a world-class tech city for decades. Jayasekera said that Toronto pioneered the first personal computer in 1974, but this fact is forgotten as new technologies have emerged. “This is actually normal in technology. The pioneers get forgotten because things grow and change,” he said.
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