Apple Machine Learning Journal

  • However, to achieve high accuracy, the training sets need to be large, diverse, and accurately annotated, which is costly.
  • An alternative to labelling huge amounts of data is to use synthetic images from a simulator.
  • This is cheap as there is no labeling cost, but the synthetic images may not be realistic enough, resulting in poor generalization on real test images.
  • We show that training models on these refined images leads to significant improvements in accuracy on various machine learning tasks.
  • Read the article View the article “Improving the Realism of Synthetic Images”

Most successful examples of neural nets today are trained with supervision. However, to achieve high accuracy, the training sets need to be large, diverse, and accurately annotated, which is costly. An alternative to labelling huge amounts of data is to use synthetic images from a simulator. This is cheap as there is no labeling cost, but the synthetic images may not be realistic enough, resulting in poor generalization on real test images. To help close this performance gap, we’ve developed a method for refining synthetic images to make them look more realistic. We show that training models on these refined images leads to significant improvements in accuracy on various machine learning tasks.
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Google is giving a cluster of 1,000 Cloud TPUs to researchers for free

Google is giving a cluster of 1,000 Cloud TPUs to researchers for free

  • At the end of Google I/O, the company unveiled a new program to give researchers access to the company’s most advanced machine learning technologies for free.
  • The TensorFlow Research Cloud program, as it will be called, will be application based and open to anyone conducting research, rather than just members of academia.
  • If accepted, researchers will get access to a cluster of 1,000 Cloud TPUs for training and inference.
  • If that level of openness isn’t your cup of tea, Google is also planning to launch a Cloud TPU Alpha program for internal, private sector, work.
  • The application for the program isn’t open yet, but Google is directing interested parties to fill out a form indicating interest.

At the end of Google I/O, the company unveiled a new program to give researchers access to the company’s most advanced machine learning technologies for..
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Artificial Intelligence Innovation Summit Tickets, Thu, May 11, 2017 at 6:00 PM

Artificial Intelligence Innovation Summit | #BigData #Artificialintelligence #RT

  • Join Tandem Innovation Alliance on Thursday, May 11th at WeWork in Tysons, VA for an evening devoted to understanding the impact of artificial intelligence and the future it holds for the government and startups.
  • We have invited investors, industry leaders and government officials as part of our ongoing event series focusing on artificial intelligence and machine learning.
  • This evening we will focus on the areas where the government is investing in A.I. programs to modernize federal agencies and where startups can fit in.
  • Following the panel, Tandem will select companies that feature exciting new A.I. technologies to provide lightning pitches to offer insight into the next great innovations that could transform the industry.
  • Come hungry, food, drinks and plenty of networking opportunities with investors and government leaders will be provided.

Eventbrite – Tandem Innovation Alliance presents Artificial Intelligence Innovation Summit – Thursday, May 11, 2017 at WeWork Tyson=, Tysons, VA. Find event and ticket information.
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Are You Ready for Robot Colleagues?

Ready?

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  • The article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management.
  • Schmitt comes at the questions not as a computer scientist but as a marketing expert.
  • What’s happening the week at the intersection of management and technology.

In the future workplace, humans may supplement the skills of machines — and not the other way around.

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A Guide to Four Technologies Disrupting Legal Tech

A Guide to Four Technologies Disrupting Legal Tech | #Analytics #MachineLearning #RT

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  • A Guide to Four Technologies Disrupting Legal Tech
  • Legal professionals have long been ambivalent toward technology.
  • Guiding legal technology’s transition from esoteric to standard are four technologies: blockchain, machine learning, the cloud, and analytics.
  • In the past year, four technologies are turning the heads of law firm and corporate law leaders, all pressed for reducing costs while delivering results of the highest quality.

Guiding legal technology’s transition from esoteric to standard are four technologies: blockchain, machine learning, the cloud, and analytics.
Continue reading “A Guide to Four Technologies Disrupting Legal Tech”

Are You Ready for Robot Colleagues?

Ready?

  • To enjoy more articles like this one sign in , or create an account .
  • sign up for a free account : comment on articles and get access to many more articles.
  • What’s happening the week at the intersection of management and technology.
  • The article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management.
  • Schmitt comes at the questions not as a computer scientist but as a marketing expert.

In the future workplace, humans may supplement the skills of machines — and not the other way around.

Continue reading “Are You Ready for Robot Colleagues?”

This Week in Machine Learning, 30 September 2016 – Udacity Inc – Medium

This Week in #MachineLearning, 30 September 2016. #BigData #DataScience #AI

  • Machine Learning is one of the most exciting fields in the world.
  • That’s why we created This Week in Machine Learning!
  • Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.
  • Google opens up its Cloud Machine Learning platform to an open public beta , along with their Machine Learning Advanced Solutions Lab to give access to Google engineers.
  • Mountain View-based cybersecurity company Shape Security secures $40 million in Series D funding to use machine learning to address real-time threats.

This week’s top Machine Learning stories, featuring a 40% increase in US productivity by 2035 thanks to artificial intelligence!
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