Advanced Concepts Team

Random branches are collected, scanned to 3D, and connected with servos. Then a neural network is trained to control this "robot".

Blog from rarefin on our Proba-V Super Resolution competition

"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"

Life could have had much more time to evolve on mars than previously thought...

Toothache in space? No problem.

beautiful! anybody knows of similar trials to fool EO data classifiers?

I am not aware of any similar trials, yet this study remind me of generative adversarial talking heads https://arxiv.org/pdf/1803.07716.pdf https://www.youtube.com/watch?v=p1b5aiTrGzY

New idea for launcher?

do you have a direct link to the high speed video?

first science results reported in Nature (as far as I know) from the Yutu-2 and Chang'e mission .... and they look very good!

Sure they are very useful! It will be even better if they manage to fit the data to modeled circulation of the lunar magma ocean that was formed posterior to the "Theia" body collision with Earth. The collision was the cause of the magma ocean in the first place. The question now is how this circulation pattern of the lava-moon "froze" in time upon phase transition to solid. Because, what crystallizes last in sequence, is more rich in "incompatible" with the crystal structure, elements, we might combine data+models to predict their location. Those incompatible tracers are mainly radioactively decaying elements that produce heat (google publications about lunar KREEP elements (potassium (K), rare earth elements(REE), and phosphorus(P)). By knowing where the KREEP is: - we know where to dig for them mining (if they are useful for something, eg. Phosphorus for plants to be grown on the Moon) - we avoid planning to build the future human colony on top of radioactives, of course. The hope is that the Moon, due to lack of plate tectonics, has preserved this "signature of the freezing sequence". Let's see.

thanks Nasia! very interesting comment

first fully "artificial" designed organism reported ...

What happens if you put a TV in the maze your robot is supposed to navigate (driven by curiosity)?

Does the fact that I follow this process of learning, make me a meta-learner? Or a pre-robot?

interns at NASA are looking into soft robot actuators

Finally some Internet for our meeting room!

Travelling through wormholes is not much different from quantum teleportation using entangled black holes...

A simple, but neat helper for coding: ML gives idiomatic usage patterns to semi-automate the daily development work.

Machine learning to write better machine learning code...count me in haha

This paper, answers a long-standing open problem in the programming languages community: is it possible to smear paint on the wall without creating valid Perl?

A nice merger of different AI technologies. System teaches itself to derive concepts from images and some Q/A-pairs.

Best explanation for beginners I could find. Definitely helped me when I was starting...

Nice easy to read article

Cool stuff! This guy is also interesting: http://cogsci.uci.edu/~ddhoff/HoffmanTime.pdf. Saw him in a conference one, blew my mind :O