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.
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Being human in the age of artificial intelligence

  • Calling itself The Future of Life Institute, its founders included Jaan Tallinn – who helped create Skype – and a physicist from Massachusetts Institute of Technology.
  • That physicist was Professor Max Tegmark.
  • With a mission to help safeguard life and develop optimistic visions of the future, the Institute has focused largely on Artificial Intelligence (AI).
  • Of particular concern is the potential for AI to leapfrog humans and achieve so-called “superintelligence” – something discussed in depth in Tegmark’s latest book Life 3.0.
  • This week Ian Sample asks the physicist and author what would happen if we did manage to create superintelligent AI?

Ian Sample speaks with Prof Max Tegmark about the advance of AI, the future of life on Earth, and what happens if and when a ‘superintelligence’ arrives
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Minds and machines: can we work together in the digital age?

Minds and machines: can we work together in the digital age? @iansample   #AI #ML #industry40

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    In 2016 Klaus Schwab, founder and chairman of the World Economic Forum, wrote: “We stand on the brink of a technological revolution that will fundamentally alter the way we live, work, and relate to one another.”

  • This fourth Industrial Revolution, he said, will fuse the physical, digital and biological worlds, and affect all corners of society – even challenging ideas of what it means to be human.
  • Andrew McAfee and Erik Brynjolfsson of the the Massachusetts Institute of Technology think not.
  • And in their latest book Machine, Platform, Crowd, they tell us why.
  • Joining Ian Sample in the studio, Andrew and Erik lay out their blueprint for the future of the workplace, including the role big data will play, how some processes involving decision-making could be automated, and how minds and machines can come together to cancel out each other’s errors.

Ian Sample sits down with Andrew McAfee and Erik Brynjolfsson to discuss the future of the workplace and the role artificial intelligence will play
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The Science of AI and the Art of Social Responsibility

The @HuffingtonPost take a look at the science of #AI and the art of social responsibility:

  • But the transformational nature of artificial intelligence requires new metrics of success for our profession.
  • This year alone at least 1 billion people will be touched in some way by artificial intelligence, which is transforming everything from financial services to transportation, energy, education and retail.
  • And why IBM is a founding member of the Partnership on AI, a collaboration among Google, Amazon, Facebook, Microsoft, Apple and many scientific and nonprofit organizations charged with guiding the development of artificial intelligence to the benefit of society.
  • Opportunity: Developers of AI applications should accept the responsibility of enabling students, workers and citizens to take advantage of every opportunity in the new economy powered by cognitive systems.
  • They should help them acquire the skills and knowledge to engage safely, securely and effectively in a relationship with cognitive systems, and to perform the new kinds of work and jobs that will emerge in a cognitive economy.

By Guru Banavar, IBM’s Chief Science Officer for Cognitive Computing
I am a computer scientist and engineer, inspired by the art of the possible an…
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Deep Learning AMI for Ubuntu v1.3_Apr2017 Now Supports Caffe2

Deep Learning AMI on Amazon Web Services quickly added Caffe2 along with TensorFlow & others

  • We are excited to announce that the AWS Deep Learning AMI for Ubuntu now supports the newly launched Caffe2 project led by Facebook.
  • The Deep Learning AMI v1.3_Apr2017 for Ubuntu provides a stable, secure, and high-performance execution environment for deep learning applications running on Amazon EC2.
  • The AWS Deep Learning AMI (available for Amazon Linux and Ubuntu) and the AWS Deep Learning CloudFormation Template let you quickly deploy and run any of the major deep learning frameworks at any scale.
  • The AWS Deep Learning AMI is provided and supported by Amazon Web Services, for use on Amazon EC2.
  • There is no additional charge for the AWS Deep Learning AMI – you only pay for the AWS resources needed to store and run your applications.

We are excited to announce that the AWS Deep Learning AMI for Ubuntu now supports the newly launched Caffe2 project led by Facebook. AWS is the best and most open place for developers to run deep learning, and the addition of Caffe2 adds yet another choice. To learn more about Caffe2, check out the the Caffe2 developer site or the GitHub repository.
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Facebook open sources Caffe2, its flexible deep learning framework of choice

Facebook open sources Caffe2, its flexible deep learning framework of choice  #F82017

  • Today Facebook open sourced Caffe2.
  • Back in October, Facebook announced Caffe2Go, what effectively was a mobile CPU and GPU optimized version of Caffe2 (they even both have Caffe2 in their names if you parse it right).
  • Today’s release accompanies partnerships at the hardware, device and cloud levels.
  • Prior to release, Caffe2 was deployed at scale across Facebook.
  • Caffe models can be easily converted to Caffe2 models with a utility script.

Today Facebook open sourced Caffe2. The deep learning framework follows in the steps of the original Caffe, a project started at the University of California,..
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