Why Aren’t There More AI And Machine Learning Startups In Asia?

Why Aren't There More #AI And #MachineLearning Startups In #Asia ?  #startup

  • “The important work of moving the world forward does not wait to be done by perfect men.”
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  • Mary Ann Evans

In the west, AI and machine learning startups and tech giants of all stripes have been doing the M&A dance.  Google, Apple and the like have been busy snapping up AI/ML startups and according to CB Insights, 30 companies in the space have been acquired since 2011 (five in this year […]
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Can Microsoft Decode The Future Of Artificial Intelligence?

Can Microsoft Decode The Future Of Artificial Intelligence?  #ai

  • “The important work of moving the world forward does not wait to be done by perfect men.”
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  • Quote of the Day
  • Mary Ann Evans

Microsoft hosts its Future Decoded event on an annual basis at London’s ExCeL centre in the fast-regenerating ‘docklands’ area. The firm devoted much of its opening statements and arguments to discuss intelligent machines, neural networks and Artificial Intelligence (AI). Microsoft insists that AI should be built around three core directives: augmenting human abilities, being trustworthy and being respectful.
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How Machine Learning Will Unlock Big Data’s Full Potential

How #MachineLearning Will Unlock #BigData's Full Potential 
  @evankirstel #AI

  • Big data plays a significant role in human resources…
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With machine learning, companies can mine data to get the information that puts them ahead of the competition by gaining access to trends.
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Applying Deep Learning at Cloud Scale, with Microsoft R Server & Azure Data Lake

Applying Deep Learning at Cloud Scale, w/ Microsoft R Server & Azure Data Lake

  • Figure 4: Generating training data in parallel using Microsoft R Server.
  • We present the final tagged test image in Figure 8 where cars and boats are labeled with red and green bounding boxes respectively; you can also download the image .
  • Each worker node returns a labelled list of moving window tile coordinates, which is then used to label the final test image in MRS running on HDInsight Spark edge node.
  • We compress 2.3 million training images from 8.9GB of raw PNG images to 5.1GB with im2rec binary in 10 minutes for optimal training performance.
  • MXNet DNN model training using NVIDIA Tesla K80 GPU using Microsoft R Server (MRS).

This post is by Max Kaznady, Data Scientist, Miguel Fierro, Data Scientist, Richin Jain, Solution Architect, T. J. Hazen, Principal Data Scientist Manager, and Tao Wu, Principal Data Scientist Manager, all at Microsoft.

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Just in Time for Halloween, We Now Have an A.I. Program for Making Celebrities Look Absolutely Horrifying

MIT’s artificial intelligence-based nightmare machine will haunt your dreams.

  • Slate is published by The Slate Group, a Graham Holdings Company.
  • A photo posted by Nightmare Machine (@nightmare_machine) on Oct 9, 2016 at 10:33pm PDT
  • Future Tense is a partnership of Slate , New America , and Arizona State University .
  • It’s surprising how well the algorithm can extract the element from the ‘scary’ templates and plant it into the landmarks.”
  • Having learned what makes certain images scary, the algorithms pulls out these elements and combines them with ordinary images.

Angelina Jolie’s lips bleed onto her sallow, greying skin. Ellen DeGeneres stares at us with one crazed eye, blood dripping out of her mouth. Kermit th …
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