Group items tagged

No GUTs, no glory

Correct me, if I am wrong, but AFAIK this is the first time an AI enters a ladder, i.e. playing against humans on their own terms in the wild and not as part of some pre-arranged experiment.

Blog from rarefin on our Proba-V Super Resolution competition

MEGA CONSTELLATION and AI ... China again :)

and we did not even propose it ...

They want to catch the first stage of the Electron "Mid-air", using a helicopter. Would love to see that!

Collecting space rocks.

if a geologist hears you calling them rocks they will curse you collectively. I am in a workshop where some of those are present and I constantly remind myself to call them "minerals".

minerals sound much better indeed ... but what is wrong with rocks ? :-)

Related paper at: http://journals.aps.org/prl/pdf/10.1103/PhysRevLett.118.080501

In the Planetary Science Vision 2050 Workshop a cool concept for a magnetic dipole sitting at Mars L1 with an estimated field of 1-2 Tesla was proposed to shield Mars from Solar Winds and provide an elementary magnetic shielding to Mars.

Cyano bacteria to shield from radiation. An idea from italians flying to the Moon via Team Indus

Nice idea, but is it really new: resistance of cyanob. to UV radiation has been known but studies have been inconclusive as to under what resource limitations it works, but according to what we see from evolution: on Earth it works, since they survived pre-ozone atmosphere! some papers from a quick google search: 1999 http://www.tandfonline.com/doi/pdf/10.1080/09670269910001736392 2014 https://www.ncbi.nlm.nih.gov/pubmed/25463663

Interesting European network on glues in nature

"What if running the 26.2 miles of a marathon only felt like running 24.9 miles, or if you could improve your average running pace from 9:14 minutes/mile to 8:49 minutes/mile without weeks of training?"

I thought the point of running a marathon was to make the effort :)

"Gravity spoils the symmetry regardless of whether magnetic monopoles exist or not. This is shocking. The bottom line is that the symmetry cannot exist in our universe at the fundamental level because gravity is everywhere"

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!!

At its Ignite conference today, Microsoft announced its moves to embrace the next big thing in computing: quantum computing. Later this year, Microsoft will release a new quantum computing programming language, with full Visual Studio integration, along with a quantum computing simulator. With these, developers will be able to both develop and debug quantum programs implementing quantum algorithms.

This has been around for over a year. The current trend in deep learning is "deeper is better". But a consequence of this is that for a given network depth, we can only feasibly evaluate a tiny fraction of the "search space" of NN architectures. The current approach to choosing a network architecture is to iteratively add more layers/units and keeping the architecture which gives an increase in the accuracy on some held-out data set i.e. we have the following information: {NN, accuracy}. Clearly, this process can be automated by using the accuracy as a 'signal' to a learning algorithm. The novelty in this work is they use reinforcement learning with a recurrent neural network controller which is trained by a policy gradient - a gradient-based method. Previously, evolutionary algorithms would typically be used. In summary, yes, the results are impressive - BUT this was only possible because they had access to Google's resources. An evolutionary approach would probably end up with the same architecture - it would just take longer. This is part of a broader research area in deep learning called 'meta-learning' which seeks to automate all aspects of neural network training.

Btw that techxplore article was cringing to read - if interested read this article instead: https://research.googleblog.com/2017/05/using-machine-learning-to-explore.html

" The goal of the APT program is to control and direct plant physiology to detect chemical, biological, radiological, and/or nuclear threats, as well as electromagnetic signals. " Now that is an advanced concept...

and look at this exceptional insight: "plants are easily deployed, self-powering, and ubiquitous in the environment, and the combination of these native abilities with specifically engineered sense-and-report traits will produce sensors occupying new and unique operational spaces" :-)

Another win for the tea aquarium!

Oh yes!

More info on dark matter ...