ECOM Webinar Registration

  • Please be advised that income and results shown are extraordinary and are not intended to serve as guarantees.
  • In fact, as stipulated by law, we can not and do not make any guarantees about your ability to get results or earn any money with our ideas, information, tools or strategies.
  • We don’t know you and, besides, your results in life are up to you.
  • We just want to help you by giving great content, direction and strategies that worked well for us and our students and that we believe can move you forward.
  • We hope this training and content brings you a lot of value.”

Please be advised that income and results shown are extraordinary and are not intended to serve as guarantees. In fact, as stipulated by law, we can not and do not make any guarantees about your ability to get results or earn any money with our ideas, information, tools or strategies. We don’t know you and, besides, your results in life are up to you. Agreed? We just want to help you by giving great content, direction and strategies that worked well for us and our students and that we believe can move you forward. All of our terms, privacy policies and disclaimers for this program and website can be accessed via the link below. We feel transparency is important and we hold ourselves (and you) to a high standard of integrity. Thanks for stopping by. We hope this training and content brings you a lot of value.”
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Real-time Performance RNN in the Browser

Lovely music: listen to a real-time performance RNN in the browser with deeplearn.js:

  • Thanks to the recently-released deeplearn.js environment, you can now enjoy real-time Performance RNN piano performances in the browser.
  • deeplearn.js is an open-source Javascript library that enables GPU-based training and evaluation of models in the browser.
  • It includes tools for porting TensorFlow models, which we were able to use to translate a Performance RNN checkpoint into a format that deeplearn.js could use.
  • We then translated our model architecture to use the deeplearn.js TypeScript libraries and added a user interface.
  • We hope you enjoy playing with Performance RNN in the browser and that this serves as an example of how easy it is to translate TensorFlow models to the web.

Thanks to the recently-released deeplearn.js environment, you can now enjoy real-time Performance RNN piano performances in the browser. …
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Why human-like robots make us feel uncomfortable

Why Human-Like #Robots Make Us Feel Uncomfortable
  
#AI #Robotics
@DeepLearn007

  • Artificial intelligence — the idea of a robot developing self-consciousness — is something that all three of these men feel are a serious threat to the existence of humanity.
  • Last December, renowned cosmologist Stephen Hawking told the BBC, “The development of full artificial intelligence could spell the end of the human race.”
  • In particular, they fear something referred to as the “singularity”: the moment when artificial intelligence is capable of redesigning itself, improving itself to the point of an intelligence that far exceeds that of humans.
  • Now, human-like also includes movement, such as seen here: – – Boston Dynamics also has a way of making you feel a bit uncomfortable, but not with human-like robots.
  • Now, if you’re worried about the robot apocalypse, just think: Google already has more than 20 driver-less cars on the road, bought Boston Dynamics — a company that specializes in advanced robots — in 2013, and is actively pursuing artificial intelligence research.

Self-driving cars? Cool. Robots that look like people? Not so much. Why do these robots make us feel more than a little uncomfortable?
Continue reading “Why human-like robots make us feel uncomfortable”

Why human-like robots make us feel uncomfortable

Why Human-Like #Robots Make Us Feel Uncomfortable
 
#AI #Robotics

  • Artificial intelligence — the idea of a robot developing self-consciousness — is something that all three of these men feel are a serious threat to the existence of humanity.
  • Last December, renowned cosmologist Stephen Hawking told the BBC, “The development of full artificial intelligence could spell the end of the human race.”
  • In particular, they fear something referred to as the “singularity”: the moment when artificial intelligence is capable of redesigning itself, improving itself to the point of an intelligence that far exceeds that of humans.
  • Now, human-like also includes movement, such as seen here:

    Boston Dynamics also has a way of making you feel a bit uncomfortable, but not with human-like robots.

  • Now, if you’re worried about the robot apocalypse, just think: Google already has more than 20 driver-less cars on the road, bought Boston Dynamics — a company that specializes in advanced robots — in 2013, and is actively pursuing artificial intelligence research.

Self-driving cars? Cool. Robots that look like people? Not so much. Why do these robots make us feel more than a little uncomfortable?
Continue reading “Why human-like robots make us feel uncomfortable”

It’s official: AI is better than humans at naming craft beers

#ai AI is better than humans at naming craft beers  via @thenextweb

  • I often tell people not to worry about robots taking our jobs, but if you’re in the business of branding craft beer, your career might well be nearing its end, thanks to a clever new AI that’s figured out how to do it on its own.
  • Researcher and electrical engineer Janelle Shane, who’s previously taught AI to conjure up pick-up lines and christen guinea pigs, developed a neural network system to name craft brews by learning from an extensive dataset spanning 90 types of beer culled from BeerAdvocate.com.
  • Here are some of my favorites, which I’d happily consider drinking if I spotted these names on a tap or label:

    Do those sound good or what?

  • There’s more where that came from over at Shane’s blog, and you can also hand over your email address for a PDF with 100 more great names.
  • Craft beer names, invented by neural network on Lewis and Quark

If you’re in the business of branding craft beer, your career might well be nearing its end, thanks to a new AI that’s figured out how to do it on its own.
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Elon Musk’s Neuralink: Potential to Transform the World

Elon Musk's Neuralink: Potential to Transform the World #AI #DataScience

  • Neuralink is the perfect marriage between the human brain and a computer.
  • Elon Musk announced the hypothetical Brain Computer Interface (BCI), the Neuralink technology, in March this year.
  • Once integrated, the technology will work in a similar manner to how humans control and move their limbs and process external stimuli and information.
  • With electrodes processing human brain functions, technology will be more perceptive to human emotions.
  • The experience that a computer integrated directly with the human brain can provide will be far greater than any gaming module.

Elon Musk’s Neuralink possesses the potential to revolutionize technology and life. Mind and machine joining as one will open the doors to a new world.
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Denoising Autoencoders explained – Dominic Monn – Medium

Denoising Autoencoders explained. #BigData #DeepLearning #MachineLearning #DataScience #AI

  • Autoencoders are Neural Networks which are commonly used for feature selection and extraction.
  • However, when there are more nodes in the hidden layer than there are inputs, the Network is risking to learn the so-called “Identity Function”, also called “Null Function”, meaning that the output equals the input, marking the Autoencoder useless.Denoising Autoencoders solve this problem by corrupting the data on purpose by randomly turning some of the input values to zero.
  • It depends on the amount of data and input nodes you have.When calculating the Loss function, it is important to compare the output values with the original input, not with the corrupted input.
  • That way, the risk of learning the identity function instead of extracting features is eliminated.A great implementation has been posted by opendeep.org where they use Theano to build a very basic Denoising Autoencoder and train it on the MNIST dataset.
  • So even if you don’t have too much experience with Neural Networks, the article is definitely worth checking out!Original input, corrupted data and reconstructed data.

Last month, I wrote about Variational Autoencoders and some of their use-cases. This time, I’ll have a look at another type of Autoencoder: The Denoising Autoencoder, which is able to reconstruct…
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