linkedin post 2019-05-02 04:17:59

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THE TEST. “Humans have already demonstrated the ability to create some seriously secure encryption algorithms, but that wasn’t enough for the Google Brain team. So, instead of relying on those soft, mushy human brains, Google engineers decided to let a trio of AI minds put their own encryption skills to the test.” https://lnkd.in/dGFg6bm View in LinkedIn
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linkedin post 2019-04-30 04:02:55

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THE EXPERIMENT. "This is the idea behind the AI-Programmer experiment. The goal is to ultimately create a computer program that can write its own computer programs to solve specific computational problems. While the capability of a computer deciding what type of program to write is beyond our current means, we can still have a computer generate programs to solve very specific tasks, such as outputting the text, "Hello World"." https://lnkd.in/dUfSxf4 View in LinkedIn
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linkedin post 2019-05-02 04:15:17

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DEEP MIND. "Google’s New Computer With Human-Like Learning Abilities Will Program Itself. The new hybrid device might not need humans at all. Neural networks -- which will enable the computer to invent programs for situations that it has not seen before -- will make up half of the computer's architecture. Experts at the firm hope this will equip the machine with the means to create like a human." https://lnkd.in/d2gu_tW View in LinkedIn
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linkedin post 2019-05-02 04:12:09

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TRIAL AND ERROR. "Naturally, the whole thing required a fair bit of trial and error. The AI only successfully wrote a program to output "Hi!" after 1,219,400 generations, a process that lasted a little over two hours. It then proceeded to produce the word "reddit" after 195000 generations, and the phrase "hello world" in 580,900 generations." https://lnkd.in/d5enhBP View in LinkedIn
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linkedin post 2019-05-04 04:41:58

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FRAGMENT FROM NATURE. Only 4 nucleotides to make DNA and RNA; only 64 unique codon triplets make amino acids; only 20 amino acids make proteins; only 102 elements make all the planets. Such a small toolkit. And yet our living world and our universe appear to know no limits. How is it that from such simplicity such profound complexity can arise? We will unpack each of the Dutch Dolls from smallest upwards to look at the small toolkit that can amplify so greatly. View in LinkedIn
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linkedin post 2019-05-03 04:55:34

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"THINKING MACHINE. Imagine a software that can consider billions of possible hypotheses at scale...Instead of manually testing a hypothetical outcome against a dataset, SparkBeyond scans massive amounts of data and sifts it through a range of clarifiers – equations, definitions sentiments, locations – to build the best predictive model with a measurable business goal in mind. As the data changes the model adapts using adaptive machine learning algorithms." https://lnkd.in/dDgxbbq View in LinkedIn
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linkedin post 2019-05-03 04:53:25

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RECOMBINANT CODE. "A startup in Israel is working on just such a concept. SparkBeyond, founded by Sagie Davidovich, is creating an engine that will comb all of the code in GitHub and then assemble parts as needed to create new application programming interfaces (APIs). A developer would just need to specify the sort of functions he or she wants and SparkBeyond would assemble it automatically. Call it recombinant code." https://lnkd.in/d5Pn4rH View in LinkedIn
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