arlington equine, LLC

gregory dowd
po box 272
arlington, vermont 05250

NYS Entity Status
ACTIVE

NYS Filing Date
MARCH 08, 2013

NYS DOS ID#
4371022

County
WASHINGTON

Jurisdiction
VERMONT

Registered Agent
NONE

NYS Entity Type
FOREIGN LIMITED LIABILITY COMPANY

Name History
2013 - ARLINGTON EQUINE, LLC









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  • AROUND THE WEB

  • 'NY Times' Finally Joins Snapchat Discover
    Monday Apr 24, 2017

    Does The New York Times joining Snapchat Discover lend an air of respectability to a new platform, and breathe new life into an aging publisher? That's obviously what the partners are planning -- but only time will tell.

    Source: Media Post: MoBlog
  • Using machine learning to help people make smart decisions about solar energy
    Monday Jun 12, 2017

     A few years ago, when my family was first deciding whether or not to go solar, I remember driving around the neighborhood, looking at all the solar arrays on nearby rooftops. It made me realize: Wow, solar isn’t some futuristic concept, it’s already part of the fabric of my town! Seeing that others around me were already benefiting from solar helped me decide to do the same.

    We want to make it easy for people to make informed decisions about whether to invest in solar. Project Sunroof already shows you solar potential and cost saving for more than 60 million individual homes. Today we’re adding a new feature, Project Sunroof Data Explorer, which shows a map of existing solar installations in neighborhoods throughout the United States. Now instead of driving street to street, it’s a little easier to see if houses around you and communities nearby have already gone solar.  
    Click on “existing arrays” in the upper right corner to see number of existing installations in your region

    This feature combines machine learning with imagery from Google Maps and Google Earth to provide an estimate of how many houses in an area have solar. We started by taking in high-resolution imagery of rooftops and manually identifying solar installations. We then used that data as the initial training set for our algorithm. After many iterations, our machine learning algorithms can now automatically find and identify installations in the imagery (both photovoltaic panels, which produce electricity, and solar hot water heaters). Even for machines, practice makes perfect!

    So far we’ve identified around 700,000 installations in the U.S. and over time, as we continue to train the algorithms and apply improvements, we will be able to find and show more installations. We hope that this new feature will provide policy makers, communities and individuals with more information to help make smarter decisions in their transition to cleaner power sources.

    Source: The Official Google Blog
  • In the Huddle With NY Jets Owner Woody Johnson
    Friday Oct 15, 2010

    Woody Johnson, owner of the New York Jets NFL franchise, joins WSJ's Lee Hawkins for the "WSJ Weekend Conversations" series to talk about the Jets' Super Bowl prospects, co-chairing the 2014 Super Bowl host committee, and his charitable interests.

    Source: The Wall Street Journal: Weekend Conversations
  • Ask the NY Giants: Socks with Sandals?
    Tuesday Sep 15, 2015

    Professional athletes like members of the New York Giants are the inspiration for the latest (counterintuitive) high-fashion trend: wearing socks with sandals. Photo: Stu Woo/The Wall Street Journal

    Source: The Wall Street Journal: Most Popular
  • GM Expects To Move Some Jobs From Mexico to Texas
    Friday Jun 16, 2017

    General Motors said it would open a supplier park near its Arlington, Texas, sport-utility factory, resulting in the relocation of about 600 jobs from Mexico to the U.S.

    Source: The Wall Street Journal: U.S. Business
  • Using machine learning to help people make smart decisions about solar energy
    Monday Jun 12, 2017

     A few years ago, when my family was first deciding whether or not to go solar, I remember driving around the neighborhood, looking at all the solar arrays on nearby rooftops. It made me realize: Wow, solar isn’t some futuristic concept, it’s already part of the fabric of my town! Seeing that others around me were already benefiting from solar helped me decide to do the same.

    We want to make it easy for people to make informed decisions about whether to invest in solar. Project Sunroof already shows you solar potential and cost saving for more than 60 million individual homes. Today we’re adding a new feature, Project Sunroof Data Explorer, which shows a map of existing solar installations in neighborhoods throughout the United States. Now instead of driving street to street, it’s a little easier to see if houses around you and communities nearby have already gone solar.  
    Click on “existing arrays” in the upper right corner to see number of existing installations in your region

    This feature combines machine learning with imagery from Google Maps and Google Earth to provide an estimate of how many houses in an area have solar. We started by taking in high-resolution imagery of rooftops and manually identifying solar installations. We then used that data as the initial training set for our algorithm. After many iterations, our machine learning algorithms can now automatically find and identify installations in the imagery (both photovoltaic panels, which produce electricity, and solar hot water heaters). Even for machines, practice makes perfect!

    So far we’ve identified around 700,000 installations in the U.S. and over time, as we continue to train the algorithms and apply improvements, we will be able to find and show more installations. We hope that this new feature will provide policy makers, communities and individuals with more information to help make smarter decisions in their transition to cleaner power sources.

    Source: The Official Google Blog
  • Pride 2017: New York’s L.G.B.T.Q. Story Began Well Before Stonewall
    By LIAM STACK - Monday Jun 19, 2017

    The gay bar’s 1969 patron-police battle, hailed as a starting point, actually followed many events in the city, now mapped in a sites project.

    Source: NYT > Home Page
  • Best man can't let the groom go, so he viciously photobombs the wedding pictures
    By Jessica Sroczynski - Wednesday Jun 21, 2017

    We are all a little possessive of our best friends, but at a certain point we just have to let go. Unless we really don't want to. 

    One happy couple and their best man took a series of photos that perfectly capture the struggle we all face when our BFF starts giving someone else their attention. 

    Brittney and Kody of Arlington, Ohio, posted the pictures from their engagement and wedding shoots on Facebook. The first photo features Kody's best friend Mitch attempting to join in their kiss, and their boots playfully spell out, "I Don't."  Read more...

    More about Watercooler, Relationships, Wedding, Wedding Photos, and Engagement Photos

    Source: Mashable!