Group items matching

in title, tags, annotations or url

New method for geoengineering? New insight into methanotrophs, bacteria that can oxidise methane, may help us develop an array of biotechnological applications that exploit methane and protect our environment from this potent greenhouse gas. Publishing in Nature, scientists led by Newcastle University have provided new understanding of how methanotrophs are able to use large quantities of copper for methane oxidation.

From the section Science & Environment Scientists are claiming a stunning discovery in their quest to fully understand gravity. They have observed the warping of space-time generated by the collision of two black holes more than a billion light-years from Earth.

Hundreds of hidden nearby galaxies have been studied for the first time, shedding light on a mysterious gravitational anomaly dubbed the Great Attractor. Despite being just 250 million light years from Earth-very close in astronomical terms-the new galaxies had been hidden from view until now by our own galaxy, the Milky Way. Using CSIRO's Parkes radio telescope equipped with an innovative receiver, an international team of scientists were able to see through the stars and dust of the Milky Way, into a previously unexplored region of space. The discovery may help to explain the Great Attractor region, which appears to be drawing the Milky Way and hundreds of thousands of other galaxies towards it with a gravitational force equivalent to a million billion Suns. Lead author Professor Lister Staveley-Smith, from The University of Western Australia node of the International Centre for Radio Astronomy Research (ICRAR), said the team found 883 galaxies, a third of which had never been seen before. "The Milky Way is very beautiful of course and it's very interesting to study our own galaxy but it completely blocks out the view of the more distant galaxies behind it," he said. Professor Staveley-Smith said scientists have been trying to get to the bottom of the mysterious Great Attractor since major deviations from universal expansion were first discovered in the 1970s and 1980s. "We don't actually understand what's causing this gravitational acceleration on the Milky Way or where it's coming from," he said. "We know that in this region there are a few very large collections of galaxies we call clusters or superclusters, and our whole Milky Way is moving towards them at more than two million kilometres per hour." The research identified several new structures that could help to explain the movement of the Milky Way, including three galaxy concentrations (named NW1, NW2 and NW3) and two new clusters (named CW1 and CW2).

Collisionless electrostatic shocks (CES) are the dominant process in heating a plasma when using high power lasers. It turns out that ion-ion collisions actually only play a small role. The ability to create small regions of very high ion energy density on time scales shorter than that of hydrodynamic expansion will be of interest in attempts to understand the processes involved in inertial confinement fusion.

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.

This collaborating swarm of drones acts as 3D pixels (voxels) to create giant, flying interactive displays.

I have never understood the flying part of these things. Isn't it really impracticle to have all those tiny quadrocopters zooming around. My money is on holography or still a google glass type of device, if only considering the energy requirements for doing anything kinetically.

Babies learn about the world by exploring how their bodies move in space, grabbing toys, pushing things off tables and by watching and imitating what adults are doing. But when roboticists want to teach a robot how to do a task, they typically either write code or physically move a robot's arm or body to show it how to perform an action.

According to their Nature article, they can detect "a tunnel less than 1m across, buried 2m underground" just from its gravitational difference. Using a device that they predict could cost ~100 € in mass production. UK researchers have built a small device that measures tiny fluctuations in gravity, and could be used to monitor volcanoes or search for oil. Such gravimeters already exist but compared to this postage stamp-sized gadget, they are bulky and pricy.

In the past 12 months Americans have searched for Python on Google more often than for Kim Kardashian, a reality-TV star. The number of queries has trebled since 2010, while those for other major programming languages have been flat or declining.

Likely this is correlated with the increased interest in machine learning in the past decade - all the popular DL libraries are Python-based after all...

"Without the relevant data for reasoning about the state of AI technology, we are essentially "flying blind" in our conversations and decision-making related to AI [...] The AI Index is an initiative to track, collate, distill and visualize data relating to artificial intelligence. "

Google is taking position here, but can they live up to their own standards?

" Avoid creating or reinforcing unfair bias." Thats the very definition of the AI used today. If you learn from a dataset, you are biased to that data set. No escape from it.

Did we just solve overpopulation and climate change? With 40% more efficient crops we could easily sustain 10+ billion people on Earth. And 40% more efficient plants would absorb much more CO2 than we are emitting (currently: artificial CO2 emission ~29 GT/y, photosynthesis CO2 capture through plants ~450 GT/y) I am usually very worried about the risks of climate change, but this could be a real game changer!

I love the car animation!

This best-in-class streaming algorithm works by remembering just enough of what it's seen to tell you what it's seen most frequently. It suggests that compromises that seemed intrinsic to the analysis of streaming data are not actually necessary.

Not new, but always good to read: British intelligence recommend not having password expiry dates. Something we should apply at ESA!

I second that. It has been an open secret for long though that frequent password changes are creating more problems than they solve. See Bruce Schneier: https://www.schneier.com/blog/archives/2016/08/frequent_passwo.html

uups :)

Well, I wouldn't expect a reply: "all our past emails have been downloaded and sold to NASA" even if that was the case.

Of course Marek is right... What matters is the theatre of security, not security itself. Just like in airports :)

A nice programming guide explaining thoughts I often try to pass on

The fact that this article is written in two languages, one is english and the other one is russian...? I get the impression that russians are among the first to hit upon such barriers before the rest of us do, from scaling their programming to bumping upon theory of chaos etc etc Imho.

They are developing so-called "Avatar" technology which will allow people to control robots remotely, as in the movie "Avatar." With Avatar X, they hope to revolutionize space exploration, resource extraction, and other space-based activities. On the Avatar X website, it says, "AVATAR X aims to capitalize on the growing space-based economy by accelerating development of real-world Avatars that will enable humans to remotely build camps on the Moon, support long-term space missions and further explore space from afar."

interns at NASA are looking into soft robot actuators

Genetic algorithms are a competitive alternative for training deep neural networks for reinforcement learning. For paper see: https://arxiv.org/pdf/1712.06567.pdf

Interesting pointers in this one! I would like to explore neuroevolution as well, although it seems extremely resource-demanding?

Not necessarily, I think it can be made to be much faster hybridizing it with backprop and Taylor maps. Its one ideas in the closet we still have not explored (Differential Intelligence: accelerating neuroevolution).

IBM for the first time ever is making quantum computing available to the public, providing access to a quantum processor via the cloud. Users can create algorithms and run experiments and get inspired by the possibilities of a quantum computer.

Looks interesting.. Have you tried it?

Mathias Troyer from ETH Zurtich gave a talk in Leiden where he showed what he wants to be the replacement to this IBM programming or the best ally of it - program quantum computers with, for instance, python code. Nice developments coming from the quantum coding field, besides the fact we are ages away from a practical quantum computer.