Web


Google to radically change homepage for first time since 1996

The Guardian

While most of the new features are iterative, with some form of them available in the Google search apps already, the addition of the Google feed to the main desktop sites will mark one of the biggest changes to Google's approach to search. But iGoogle was only shown to those who were logged in and had selected to use iGoogle, rather than the default simple search box Google homepage. How it will look and work on the desktop and whether it will include the search company's voice assistant Google Assistant is not yet known. The mobile feed also contains things such as boarding passes and calendar events based on things taken from Gmail and Google calendar.


Face scans for Americans flying abroad stir privacy issues

Associated Press

HOUSTON (AP) — If the Trump administration gets its way, all U.S. citizens flying abroad will have to submit to face scans at airport security.


Consuming Azure Machine Learning in ASP.NET Core

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We'll begin with sample code generated from Azure ML studio and transition into strongly typed C# Objects with an ASP.NET Core application service. ASP.NET Core is a solid choice since it gives us the opportunity to build a full scale web application or simply setup a web service to mediate between the Azure ML web service and data from other applications or systems. Let's create a new ASP.NET Core project in Visual Studio 2017, we'll define a service for calling the Azure ML web service using the sample code, and display the results directly to a view. In CreditServices we'll add a new service class called CreditPredictionService, which we'll build using the sample code supplied in the Azure ML management dashboard.


Machine Learning as an API: easy ways to add intelligence to your web app by Sara Robinson

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Machine Learning has a lot of potential to make our apps smarter but all the theory and mathematics behind it is really hard! Thankfully, we can rely on trained models and public APIs to do some of the heavy lifting. In this session, we will take a look at some of these friendly Machine Learning APIs for image classification, speech recognition, text entity analysis to see how we can make our web apps smarter. Sara Robinson is a Developer Advocate on Google's Cloud Platform team, where she helps with developer relations through online content, outreach and events.


Why Artificial Intelligence is Different from Previous Technology Waves

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The eight I'm covering in this article include Desktop Operating Systems, Web Browsers, Networking, Social Networks, Mobile Apps, Internet of Things, Cloud Computing, and Artificial Intelligence. High Barrier Centralized Dev Proprietary Innovation In this case, development can be done only by the platform owner. High Barrier Decentralized Dev Incompatible Innovation This quadrant often represents technologies that are based on open source or have open (and in many cases optional) standards, but either due to being based on hardware or very complex software, the barrier for developers to create is non-trivial. Low Barrier Decentralized Dev Fully Distributed Innovation This is optimal in terms of an environment that foster innovation.


Why artificial intelligence is different from previous technology waves

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I took my first "business machines" class in high school in 1991, attended my first computer science class in 1994 (learning Pascal), and moved to Silicon Valley in 1997 after Cisco converted my internship into a permanent position. The eight I'm covering in this article include desktop operating systems, web browsers, networking, social networks, mobile apps, Internet of Things, cloud computing, and artificial intelligence. In the social network space, development is completely centralized by the owners of the platforms (Twitter, Facebook, etc.) A technology with a low barrier to entry and decentralized platform development has the greatest potential for future impact.


Why artificial intelligence is different from previous technology waves

#artificialintelligence

I took my first "business machines" class in high school in 1991, attended my first computer science class in 1994 (learning Pascal), and moved to Silicon Valley in 1997 after Cisco converted my internship into a permanent position. The eight I'm covering in this article include desktop operating systems, web browsers, networking, social networks, mobile apps, Internet of Things, cloud computing, and artificial intelligence. In the social network space, development is completely centralized by the owners of the platforms (Twitter, Facebook, etc.) A technology with a low barrier to entry and decentralized platform development has the greatest potential for future impact.


Announcing @CASTHighlight â Bronze Sponsorâ of @CloudExpo #SaaS #AI #DX #DevOps @ThingsExpo

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With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo[32]  @ThingsExpo[33], June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track. The upcoming 20th International @CloudExpo[37]  @ThingsExpo[38], June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA announces that its Call For Papers[39] for speaking opportunities is open.


Artificial intelligence not fairy dust, legal conference hears News

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The workshop was opened by David Halliwell, director of knowledge and innovation at interrnational firm Pinsent Masons, whose innovation team includes data scientists, knowledge and process engineers and machine learning experts. Uses for AI in law include process automation, document review – reviewing large volumes of similar documents to identify where a change in the law applies - as well as financial analytics and predicting litigation outcomes. In contrast to Pinsent Masons' home-grown solutions, magic circle firm Freshfields Bruckhaus Deringer's is taking a'holistic, commercial approach combining multiple commercial AI products, the firm's innovation architect Milos Kresojevic said. Its portfolio includes Kira Systems' contract analysis, Neota Logic's expert systems for smart (client facing) apps, blockchain and smart contracts, technology assisted review, and semantic web technologies.


PulsePoint Launches Content Marketing SaaS Platform With Enhanced AI and Machine Learning Capabilities

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NEW YORK--(BUSINESS WIRE)--PulsePoint, a leading global programmatic advertising platform, today announced the next generation of its content marketing platform. Story by PulsePoint helps marketers capitalize on this connection by optimizing for post-click behavior. "Our technology focuses on engagement with content and provides actionable page-level behavior metrics to drive results and deliver successful campaigns." Investors in the company include Draper Fisher Jurvetson (DFJ), Gotham Ventures, New Atlantic Ventures (NAV), Investor Growth Capital, Updata Partners and VantagePoint Capital Partners.