The Top 7 Big Data Trends for 2017

The Top 7 Big Data Trends for 2017 - by @vanrijmenam  #BigData

  • It’s no exaggeration to say that big data has revolu…
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Which Big Data trends will create the Year of Intelligence? Here are the top 7 Big Data trends for 2017 that will affect organisations and governments.
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Role of BigData & Advanced Analytics for NFV/SDN

Role of #BigData and advanced #analytics for NFV/SDN webcast on 12/7:

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​As Communication Service Providers (CSPs) adopt virtualization technologies like NFV/SDN,  to realize the desired business benefits of reducing operating costs and accelerate service innovation, they need to start developing their big data and advanced analytics capabilities. These are critical components in the world of virtualization that provide the context for service assurance, self-optimization and self-healing networks, moving from being mostly reactive to be more predictive and preemptive, regarding to quality of service.
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Artists Used Machine Learning to Turn Hand Drawn Maps Into Satellite Images

Artists Used Machine Learning to Turn Hand Drawn Maps Into Satellite Images

  • The first network is the “discriminator,” which can tell if a satellite image is the representation of a map.
  • Kogan added that the ability to create algorithms that learn the relationships between corresponding images, such as map tiles and satellite images, has a broad range of implications. “
  • Called Invisible Cities , the project involves using neural networks, a computer system inspired by the human brain, to translate map tiles into generative satellite images for various cities, including Milan, Venice, and Los Angeles.
  • A machine learning workshop for artists in Milan spawned a project that uses neural networks to make city maps.
  • The model was trained with about 500 pairs of images, each composed of the map and the corresponding satellite view, he said, all of which is necessary to input a map so that the system can synthesize an aerial view using the selected city model.

It took about 500 images to teach the algorithm to make maps.
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What Happens When You Merge Virtual Reality with Big Data

New #Website What Happens When You Merge Virtual Reality with Big Data   via @srikanthr4080

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  • Author Brian Posted on November 30, 2016 Tags Big Data , continuously improvement Datafloq , cookies , One-Stop Source , usage , website
  • Virtual reality is to stay and it is not just for fun and games anymore, because when you merge VR with Big Data it can improve your business.
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Virtual reality is here to stay and it is not just for fun and games anymore, because when you merge VR with Big Data it can improve your business. @srikanthr4080: What Happens When You Merge Virtual Reality with #BigData. – #VR #Cloud #Hadoop #OculusRift

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Know it. Prove it.

#Dev superheroes! Show off #IoT, #BigData & #WebDev skills to earn badges:

  • To find out more, select a learning challenge.
  • The challenge runs from November 15, 2016, through December 14, 2016.
  • mission, meet the challenge, and earn the badges.
  • Each learning challenge takes less than 12 hours to complete, and we’ve streamlined the course list.
  • Make sure your friends know the challenges you’re facing head on.

Would you like us to sign you back in? If you click No, you will be signed out from the site and will lose any unsaved progress.
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Artists Used Machine Learning to Turn Hand Drawn Maps Into Satellite Images

Artists used machine learning to turn hand-drawn maps into satellite images

  • The first network is the “discriminator,” which can tell if a satellite image is the representation of a map.
  • Kogan added that the ability to create algorithms that learn the relationships between corresponding images, such as map tiles and satellite images, has a broad range of implications. “
  • Called Invisible Cities , the project involves using neural networks, a computer system inspired by the human brain, to translate map tiles into generative satellite images for various cities, including Milan, Venice, and Los Angeles.
  • A machine learning workshop for artists in Milan spawned a project that uses neural networks to make city maps.
  • The model was trained with about 500 pairs of images, each composed of the map and the corresponding satellite view, he said, all of which is necessary to input a map so that the system can synthesize an aerial view using the selected city model.

It took about 500 images to teach the algorithm to make maps.
Continue reading “Artists Used Machine Learning to Turn Hand Drawn Maps Into Satellite Images”