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Sounds too super to be true, no?

> Sounds too super to be true, no? Yeah, how else may it sound, being a combination of hi-quality (I assume) research targeted at attracting funding, raised to the power of Science Daily's pop-pseudo-scientific journalists' bu****it? Original article starts with a cool sentence too: > The ultimate proof of our understanding of natural or technological systems is reflected in our ability to control them. ...a good starting point for a never-ending philosophers' debate... Now seriously, because of a big name behind the study, I'm very curious to read the original article. Although I expect the conclusion to be that in practical cases (i.e. the cases of "networks" you *would like to* "control"), you need to control all nodes or something equally impractical...

then I am looking forward to reading your conclusions here after you will have actually read the paper

Strange geometrical bodies and their application by turtles. Reverse biomimetics...

Apparently, I becomes possible to create proteins from scratch already. Things become interesting...

Albeit a bit dated, this is the classical Eric Raymond paper about the self-organizing open source model (the bazaar) compared to the usual closed software development model (the cathedral). Is science today more a bazaar or a cathedral?

funny .... this is exactly the book that Franco mentioned during one of the first meetings I had with him on the ACT, our research, how to organise, the potential of new ways of cooperating etc ...

Science today is a Basilica.

swarm intelligence very impressive ...

yep ... fantastic ...

impressive, particularly the two last videos where u can see the structure growing !

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

:-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.

I mainly see neural networks in this... maybe some evolutionary stuff :))

Hasta la vista, baby. A real-life T-1000, the shape-shifting liquid-metal robot from Terminator 2, is a step closer, thanks to a self-powered liquid metal motor. The device is surprisingly simple: just a drop of metal alloy made mostly of gallium - which is liquid at just under 30 °C - with some indium and tin mixed in.

Jarvis could make it, add a power supply and aquarium and we are off :)

Please send CVs in the following format.

Robot self-adapts its gait when limbs are damaged.

Read this this morning in the train, what a story! Awesome guy, I wish him all the luck kicking against the established companies... Seems he has a bet with Elon Musk to outperform the current autonomous driving algoritms using his AI techniques. He is actually driving a lot with his car via Uber, to gain material to train his NN on :)

Most self-respecting artists wouldn't agree to paint a portrait of a toilet in the middle of a field. Fortunately, advancements in artificial intelligence have given computers the ability to imagine just about any scenario, no matter how bizarre, and illustrate it. Take a look at this image.

Those are some creepy faces among them.. This is also just completely random isn't it?

Well, biased to the data it was trained on. Computing a net is pretty deterministic. But not everything is perfectly correlated yet. Still nice progress.

quasicrystalline superlattice that self-assembles from a single type of nanoparticle building blocks

A tiny self-organized mesh full of artificial synapses recalls its experiences and can solve simple problems. Its inventors hope it points the way to devices that match the brain's energy-efficient computing prowess.

The best paper on transformation optics written ever :-)

Concerning the fabrication... as usual, no idea. I agree that this is the main drawback of MM, and certainly difficult to overcome. I would double check that number, because its value is related with the beam shape of Fig. 1 A. I believe that the simulations are correct, it's just a detail.

wow ... still publishing despite babysitting and new job!!