Artificial intelligence proves that craft beer names are total nonsense

Artificial intelligence proves that craft beer names are total nonsense

  • Artificial intelligence proves that craft beer names are total nonsense

    Let’s call it “Shock State.

  • “Image: NEARMY/EPA/REX/Shutterstock
    By Stan Schroeder2017-08-04 09:11:11 UTC

    If you’re a craft beer connoisseur — or even just an occasional drinker — you’ve likely noticed that names for new brews are getting out of hand.

  • Likely in order to distance themselves from traditional, European beer names such as Franziskaner Royal, the new breed of craft beer makers are going with increasingly odd names such as Stone Ruination IPA.
  • So what happens when you employ a neural network to create new craft beer names?
  • Researcher Janelle Shane did it by feeding a neural network a bunch of beer names from BeerAdvocate’s database — the project was initiated by Gizmodo’s Ryan Mandelbaum — and the AI came up with a bunch of names which mostly sound very odd, just like real craft beer names.

An AI came up with beer names and the result was pretty much the same as when humans do it.
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ARM’s next-gen chip design puts the focus on artificial intelligence

ARM’s next-gen chip design puts the focus on artificial intelligence  #5G #IoT #mobile

  • ARM tipped its hand today with the announcement of DynamIQ, a new technology it says will lay the groundwork for its next generation of mobile processors.
  • Like other mobile chip makers, the company’s got a lot to contend with when it comes to future-proofing its offerings, and certainly ARM’s making some pretty big claims for what it’s calling its “biggest micro-architectural shift since […] 2011”

    Central to the company’s speed boasts are its focus on future artificial intelligence, an aspect of technology that will continue to grow more central to mobile computing over the next several years, both through the proliferation of smart-assistants, autonomous vehicles and beyond.

  • As with offerings from other mobile chip makers, the company is targeting a wide range of different computing platforms that move well beyond mobile.
  • Microsoft has already laid some of the groundwork for additional applications back in December when it announced that it would be bringing its apps to the company’s mobile processors, in an attempt to get hardware makers to build a wider variety of devices for the operating system.
  • ARM’s not giving exact dates for the technology’s anticipated arrival, only stating that it expects its hardware partners to ship an additional 100 billion ARM-based chips by the year 2021, having shipped roughly half that number between 2013 and 2017.

ARM tipped its hand today with the announcement of DynamIQ, a new technology it says will lay the groundwork for its next generation of mobile processors…
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Machine Learning 101— Supervised Learning – Shaden Mar’i – Medium

Machine Learning — Supervised Learning.  #BigData #MachineLearning #DataScience #AI

  • Model training using the data set
  • Data sets hold the data which will be used in training your models, whereas, test sets hold the data which you will be using to test and evaluate your models.
  • Data sets join and data wrangling
  • The Restaurant ratings data set along with the customer and Restaurants data set are all used in training the matchbox recommendation model.
  • I have trained my model using the restaurant ratings data sets along with two more data sets; the Restaurant customers and restaurants data sets.

Machine learning is basically teaching computers to solve big problems based on either example data or past experiences. Example data, is purely unlabeled, with unknown and undetected structure. Your…
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The Evolution Of Computer Science [INFOGRAPHIC]

Quite cool 😉

The Evolution Of Computer Science [INFOGRAPHIC] 

 #fintech #AI @valuewalk

  • Learn more about the history of computer science from this infographic.
  • It was the first large-scale electronic computer, and it was operated using the same type of technology as that automatic fabric loom over 140 years prior- punch cards.
  • It’s hard to imagine that just a few decades ago computers filled entire rooms, but advancements in technology and research have allowed for the development of the modern marvels we enjoy today.
  • Then in 1801 an automatic fabric loom was invented that used punch cards to control the pattern of the fabric.
  • There were a lot of developments that had to happen to get us to this point, and it all started with the invention of the binary number system in 1703 by Gottfried Leibniz, who was considered by many to be the first computer scientist.

Read the full article, click here.


@SpirosMargaris: “Quite cool 😉

The Evolution Of Computer Science [INFOGRAPHIC]

#fintech #AI @valuewalk”


Computer Science: By 1945 ENIAC had come on to scene, filling a 20 by 40 foot room with 18,000 vacuum tubes. It was the first large-scale electronic computer


The Evolution Of Computer Science [INFOGRAPHIC]

Facebook Messenger App — Choose either End-to-End Encryption or Artificial Intelligence

#Facebook Messenger App — Choose either End-to-End #Encryption or Artificial Intelligence

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@TheHackersNews: “#Facebook Messenger App — Choose either End-to-End #Encryption or Artificial Intelligence”


Facebook Messenger app to introduce optional end-to-end encryption, allowing you to choose between either encryption or an improved artificial intelligence.


Facebook Messenger App — Choose either End-to-End Encryption or Artificial Intelligence