linkedin post 2020-03-21 04:18:06

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FRAGMENT FROM NATURE continues from last weekend and concludes this weekend on the linguistic perspective on contextual genetics and the controversial idea of the significant impact of mobile genetic elements on evolution, from an essay by Günther Witzany. Biologists as a group tend to fiercely resist new ideas and be locked into arcane outmoded ideas, and the poor acceptance of the enormous impact of mobile genetic elements on evolution is a poster-child example, not to mention the truly Luddite proposition that these kinds of elements (and viruses) are not alive, simply because they stuck to wrong definitions of life. View in LinkedIn
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linkedin post 2020-03-20 06:41:59

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AHEAD OF THE CURVE. “Let us all raise a glass to AlphaGo and mark another big moment in the advance of artificial intelligence and then perhaps start to worry. AlphaGo, Google DeepMind’s game of Go-playing AI just bested the best Go-playing human currently alive, the renowned Lee Sedol. This was not supposed to happen. At least, not for a while. An artificial intelligence capable of beating the best humans at the game was predicted to be 10 years away.” https://lnkd.in/dyZMbSC View in LinkedIn
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linkedin post 2020-03-20 06:39:50

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CHAMPION. “DeepMind’s stunning victories over Go legend Lee Se-dol have stoked excitement over artificial intelligence’s potential more than any event in recent memory. But the Google subsidiary’s AlphaGo program is far from its only project — it’s not even the main one.” https://lnkd.in/dT88xiV View in LinkedIn
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linkedin post 2020-03-20 06:37:29

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MACHINE INTUITION. “Monte Carlo tree search was a big innovation ten years ago, but I think what we’ve done with AlphaGo is introduce with the neural networks this aspect of intuition, if you want to call it that, and that’s really the thing that separates out top Go players: their intuition.” https://lnkd.in/dT88xiV View in LinkedIn
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linkedin post 2020-03-20 06:34:30

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ULTIMATE CHALLENGE. “Go has always been the pinnacle of perfect information games. It’s way more complicated than chess in terms of possibility, so it’s always been a bit of a holy grail or grand challenge for AI research, especially since Deep Blue.” https://lnkd.in/dT88xiV View in LinkedIn
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linkedin post 2020-03-23 05:11:59

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CATCH-22. "I believe that we are in an intellectual cul-de-sac, in which we model brains and computers on each other, and so prevent ourselves from having deep insights that would come with new models. The first step in this back and forth was made by Alan Turing." (Rodney Brooks, Emeritus professor of robotics, Massachusetts Institute of Technology)." (Google Deepmind). https://lnkd.in/daaAAYt View in LinkedIn
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linkedin post 2020-03-21 05:26:28

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DNA AS HABITAT. “This change in perspective from molecules to agent-based behaviour will look at interactions of RNA viruses, DNA viruses, RNA-DNA viruses, viral swarms, and sub-viral groups like any ligated RNA stem loop groups that cooperate and coordinate (regulate) within cellular genomes as replication-relevant co-players.” https://lnkd.in/dWwkKpD View in LinkedIn
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linkedin post 2020-03-23 05:08:30

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MEDICAL APPLICATION. “We announced a partnership with the NHS a couple of weeks ago but that was really just to start building a platform that machine learning can be used in. I think the sort of things you’ll see this kind of AI do is medical diagnosis of images and then maybe longitudinal tracking of vital signs or quantified self over time, and helping people have healthier lifestyles. I think that’ll be quite suitable for reinforcement learning.” https://lnkd.in/dT88xiV View in LinkedIn
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