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There has been much recent interest in accelerating materials discovery. High-throughput calculations and combinatorial experiments have been the approaches of choice to narrow the search space. The emphasis has largely been on feature or descriptor selection or the use of regression tools, such as least squares, to predict properties. The regression studies have been hampered by small data sets, large model or prediction uncertainties and extrapolation to a vast unexplored chemical space with little or no experimental feedback to validate the predictions. Thus, they are prone to be suboptimal. Here an adaptive design approach is used that provides a robust, guided basis for the selection of the next material for experimental measurements by using uncertainties and maximizing the 'expected improvement' from the best-so-far material in an iterative loop with feedback from experiments. It balances the goal of searching materials likely to have the best property (exploitation) with the need to explore parts of the search space with fewer sampling points and greater uncertainty.

Can AI create the next wonder material? http://www.nature.com/news/can-artificial-intelligence-create-the-next-wonder-material-1.19850?WT.ec_id=NATURE-20160505&spMailingID=51301208&spUserID=MTEzODM0NjYzMzgS1&spJobID=920498312&spReportId=OTIwNDk4MzEyS0

link to the nature paper: http://dx.doi.org/10.1038/nature17448

A team of researchers in TU berlin and Caltech used Schrödinger's equation to visualise superfluidic flow (fluids with zero viscosity). Smoke and dry ice are close to this state in nature. Strangely enough for an equation that describes subatomic particles, it works, and reproduces experimental results better that Euler and Langrange schemes.

What makes us different is the particulars of our history, which gives us our notions of purpose and goals. That's a long way of saying when we have the box on the desk that thinks as well as any brain does, the thing it doesn't have, intrinsically, is the goals and purposes that we have. Those are defined by our particulars-our particular biology, our particular psychology, our particular cultural history. The thing we have to think about as we think about the future of these things is the goals. That's what humans contribute, that's what our civilization contributes-execution of those goals; that's what we can increasingly automate.

DARPA funded the development of a new computer chip that's hardwired to make simple mistakes but can help computers understand the world. Your math teacher lied to you. Sometimes getting your sums wrong is a good thing. So says Joseph Bates, cofounder and CEO of Singular Computing, a company whose computer chips are hardwired to be incapable of performing mathematical calculations correctly.

The whole concept boils down to approximate computing it seems to me. In a presentation I attended once I prospected if the same kind of philosophy could be used as a radiation hardness design approach, the short conclusion being that surely will depend on the functionality intended.

Perhaps when you think of bacterial communities you think of a flask full of rapidly dividing E. coli. But in non-lab conditions, bacteria grow in complex, heterogeneous communities composed of diverse microscopic organisms. In these communities, bacteria need a means to communicate with their kin, and they do this through a language known as quorum sensing (QS), where bugs secrete and detect factors that tell them whether they're surrounded by kin (and if so, how many there are).

Normally we associate levitation of objects to superconducting materials. Here a new technique is shown where levitation of a whole new range of materials is shown. "The large temperature gradient leads to a force that balances gravity and results in stable levitation," said Fung, the study's lead author. "We managed to quantify the thermophoretic force and found reasonable agreement with what is predicted by theory. This will allow us to explore the possibilities of levitating different types of objects." Paper at http://aip.scitation.org/doi/10.1063/1.4974489 New microgravity experiments possibility?

not really I fear .... "Typical sizes of the trapped particles are between 10 μm and 1 mm at a pressure between 1 and 10 Torr. The trapping stability is provided radially by the increasing temperature field and vertically by the transition from the free molecule to hydrodynamic behavior of thermophoresis as the particles ascend."

Might still be OK micro to mm sized experiments. The technique seems to be reliable and cheap enough to compete with other types of microgravity approaches - more research needed to define boundaries of course.

AutoDraw is a new kind of drawing tool. It pairs machine learning with drawings from talented artists to help everyone create anything visual, fast. There's nothing to download. Nothing to pay for. And it works anywhere: smartphone, tablet, laptop, desktop, etc. AutoDraw's suggestion tool uses the same technology used in QuickDraw, to guess what you're trying to draw. Right now, it can guess hundreds of drawings and we look forward to adding more over time. If you are interested in creating drawings for others to use with AutoDraw, contact us here. We hope AutoDraw will help make drawing and creating a little more accessible and fun for everyone.

Interesting. these guys are apparently gonna try developing pulsar navigation. They propose to solve the low apparent brightness problem using relatively complex signal processing and filtering to limit the antenna size etc. The say they've already had some promising results using ground based data. worth a science coffee perhaps?

Absolutely. Sante can you get in contact with them?

"Scientists are planning to use NASA's Hubble Space Telescope to observe next month's historic transit of Venus across the sun's face. But there's a twist. Researchers can't point Hubble anywhere near the sun, because our star's bright light could damage the telescope's super-sensitive instruments. So Hubble will watch the June 5-6 Venus transit by using the moon as a mirror."

aha. i suggested something like this a few years ago

How microphone and speaker of a laptop are used to recognize movement in front of the computer. The article is in German but the video is in English.

f existing lithium-ion batteries were scaled up to match the range capacity of gas-powered vehicles, they would be unfeasibly large and heavy. Lithium-air batteries, which have the potential to provide energy densities that rivals traditional gasoline-powered engines, are seen as a possible solution.

you are late ...

Metamaterials that absorb seismic waves rather than steer them, might be a better way to protect some buildings, say engineers

what are seismic metamaterials?

must look funny ... They calculate the properties of such a metatmaterial and how it might be constructed with a basic repeating unit in the form of a concrete cylinder some 18 metres in diameter, with four perpendicular holes in its sides (see picture). These cylinders, perhaps varying in size to absorb a range of seismic wavelengths, would need to surround the foundations of a building in cylindrical shells some 60 metres across. That needn't be prohibitively expensive but it would be a big structure that could only be constructed around isolated buildings (thereby somewhat negating the supposed benefit that other buildings in the earthquake 'shadow' might also be protected).

The end is near...

che brutta figura ...

Some quotes: "Our results are in agreement with what Einstein would like to have" - they called him just to double-check... "How many times do you have to say 'zero' to make sure it's zero?" - because statistics is just not trendy any more...

"It works by emitting a burst of light from a femtosecond laser that reflects off visible surfaces - such as an opaque wall - onto objects that are hidden from the camera's direct view. The light then bounces off the object before ultimately making its way back to a detector. This process is repeated a number of times with the laser targeted at different areas of the reflecting surface." nice video

"... they are looking to use the nanotree structure to mimic photosynthesis in a device that not only harnesses the power of the sun to produce hydrogen fuel, but also captures CO2 from the atmosphere to reduce carbon emissions at the same time."

this will be big! check the video. according to one of the related posts, they'll be on sale already by the end of 2012! Surprising that it's Google and not Apple to come up with this

> Surprising that it's Google and not Apple to come up with this It's sort of hard to think when your brain's gone.