Artificial intelligence now powers all of Facebook’s translation

Artificial intelligence now powers all of Facebook’s translation

  • On Thursday, Facebook announced that all of its user translation services—those little magic tricks that happen when you click “see translation” beneath a post or comment—are now powered by neural networks, which are a form of artificial intelligence.
  • Back in May, the company’s artificial intelligence division, called Facebook AI Research, announced that they had developed a kind of neural network called a CNN (that stands for convolutional neural network, not the news organization where Wolf Blitzer works) that was a fast, accurate translator.
  • Now, Facebook says that they have incorporated that CNN tech into their translation system, as well as another type of neural network, called an RNN (the R is for recurrent).
  • Facebook says that the new AI-powered translation is 11 percent more accurate than the old-school approach, which is what they call a “phrase-based machine translation” technique that wasn’t powered by neural networks.
  • As an example of the difference between the two translation systems, Facebook demonstrated how the old approach would have translated a sentence from Turkish into English, and then showed how the new AI-powered system would do it.

On Thursday, Facebook announced that all of its user translation services—those little magic tricks that happen when you click “see translation” beneath a post or comment—are now powered by neural networks, which are a form of artificial intelligence.
Continue reading “Artificial intelligence now powers all of Facebook’s translation”

Artificial intelligence now powers all of Facebook’s translation

Artificial intelligence now powers all of Facebook’s translation

  • On Thursday, Facebook announced that all of its user translation services—those little magic tricks that happen when you click “see translation” beneath a post or comment—are now powered by neural networks, which are a form of artificial intelligence.
  • Back in May, the company’s artificial intelligence division, called Facebook AI Research, announced that they had developed a kind of neural network called a CNN (that stands for convolutional neural network, not the news organization where Wolf Blitzer works) that was a fast, accurate translator.
  • Now, Facebook says that they have incorporated that CNN tech into their translation system, as well as another type of neural network, called an RNN (the R is for recurrent).
  • Facebook says that the new AI-powered translation is 11 percent more accurate than the old-school approach, which is what they call a “phrase-based machine translation” technique that wasn’t powered by neural networks.
  • As an example of the difference between the two translation systems, Facebook demonstrated how the old approach would have translated a sentence from Turkish into English, and then showed how the new AI-powered system would do it.

On Thursday, Facebook announced that all of its user translation services—those little magic tricks that happen when you click “see translation” beneath a post or comment—are now powered by neural networks, which are a form of artificial intelligence.
Continue reading “Artificial intelligence now powers all of Facebook’s translation”

Fortune 500: Adobe CEO Hints at Artificial Intelligence on Photoshop

  • Foggy bottom: When Narayen became CEO, “you could see there were some dark clouds on the horizon,” he says.
  • Adobe switched to a subscription model, opening the door to a new way to deliver software in which customers could more easily receive updates and new features.
  • Adobe CEO Shantanu Narayen.Courtesy of Adobe Finding Wall Street: Investors were concerned Adobe was spending too much on data centers, but Narayen convinced them it would pay off.
  • Double Duty: Adobe’s board elected Narayen as its chairman this year on top of his CEO duties.
  • Narayen is quick to mention Adobe couldn’t be successful without his staff’s hard work.

As Adobe arrives on the Fortune 500 for the first time, CEO Shantanu Narayen shares how the cloud and AI lead it to a sunnier future.
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Book: Data Science for the Layman: No Math Added

#DataScience Book for the Layperson:  #abdsc #BigData #DataAnalytics #MachineLearning #AI

  • Want to get started on data science?
  • This book has been written in layman’s terms as a gentle introduction to data science and its algorithms.
  • Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application.
  • With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.

Want to get started on data science? Our promise: no math added.
This book has been written in layman’s terms as a gentle introduction to data science and its…
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Machine Learning with TensorFlow

#Machinelearning algorithms and how to implement solutions with #TensorFlow

  • The most celebrated progress in neural networks comes from these CNN architectures.
  • In the chapter, we’re going on a date with clustering algorithms.
  • Using linear regression for classification
  • Chapter 11 and all future chapters are free, and will be hosted on the GitHub repo .
  • A recurrent neural network might hold on to that memory.

Learn machine learning and data analysis using Google’s new TensorFlow library.
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