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Tobias Seidl

Evolutionary Photonics with a Twist -- Vukusic 325 (5939): 398 -- Science - 0 views

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    Again bio-photonics. Cool subject, should have a look into.
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    really interesting and fascinating what evolution can do...!
Thijs Versloot

A Groundbreaking Idea About Why Life Exists - 1 views

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    Jeremy England, a 31-year-old assistant professor at the Massachusetts Institute of Technology, has derived a mathematical formula that he believes explains this capacity. The formula, based on established physics, indicates that when a group of atoms is driven by an external source of energy (like the sun or chemical fuel) and surrounded by a heat bath (like the ocean or atmosphere), it will often gradually restructure itself in order to dissipate increasingly more energy. This could mean that under certain conditions, matter inexorably acquires the key physical attribute associated with life. The simulation results made me think of Jojo's attempts to make a self-assembling space structure. Seems he may have been on the right track, just not thinking big enough
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    :-P Thanks Thijs... I do not agree with the premise of the article that a possible correlation of energy dissipation in living systems and their fitness means that one is the cause for the other - it may just be that both go hand-in-hand because of the nature of the world that we live in. Maybe there is such a drive for pre-biotic systems (like crystals and amino acids), but once life as we know it exists (i.e., heredity + mutation) it is hard to see the need for an amendment of Darwin's principles. The following just misses the essence of Darwin: "If England's approach stands up to more testing, it could further liberate biologists from seeking a Darwinian explanation for every adaptation and allow them to think more generally in terms of dissipation-driven organization. They might find, for example, that "the reason that an organism shows characteristic X rather than Y may not be because X is more fit than Y, but because physical constraints make it easier for X to evolve than for Y to evolve." Darwin's principle in its simplest expression just says that if a genome is more effective at reproducing it is more likely to dominate the next generation. The beauty of it is that there is NO need for a steering mechanism (like maximize energy dissipation) any random set of mutations will still lead to an increase of reproductive effectiveness. BTW: what does "better at dissipating energy" even mean? If I run around all the time I will have more babies? Most species that prove to be very successful end up being very good at conserving energy: trees, turtles, worms. Even complexity of an organism is not a recipe for evolutionary success: jellyfish have been successful for hundreds of millions of years while polar bears are seem to be on the way out.
Luís F. Simões

AI, Robotics, and the Future of Jobs | Pew Research Center's Internet & American Life P... - 0 views

  • Some 1,896 experts responded to the following question: The economic impact of robotic advances and AI—Self-driving cars, intelligent digital agents that can act for you, and robots are advancing rapidly. Will networked, automated, artificial intelligence (AI) applications and robotic devices have displaced more jobs than they have created by 2025?
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    I mainly see neural networks in this... maybe some evolutionary stuff :))
anonymous

Robot With Broken Leg Learns To Walk Again In 2 Minutes - The Physics arXiv Blog - Medium - 7 views

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    Robot self-adapts its gait when limbs are damaged.
Wiktor Piotrowski

Harnessing evolutionary creativity: evolving soft-bodied animats in simulated physical ... - 0 views

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    Papers in the video description
koskons

A day at the zoo: exhaustive list of evolutionary, swarm and other metaphor-based algor... - 4 views

shared by koskons on 02 Jul 19 - No Cached
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    "A list of the many different animals, plants, microbes, natural phenomena and supernatural activities that can be spotted in the wild lands of the metaphor-based computation literature"
darioizzo2

Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade - 3 views

Hey! We also have an added review paper on ML/AI and G&C -> https://link.springer.com/article/10.1007/s42064-018-0053-6, weird they found those other papers instead ... I guess the keyword machine...

AI PHY

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