Group items matching

in title, tags, annotations or url

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.

Relates to robots raising children before the arrival at an exoplanet.

The bear ears add some nice biological component to it.

Development in brain computer interfaces developed by DARPA is progressing.

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

"By extension, GCMs are not fit for the purpose of justifying political policies to fundamentally alter world social, economic and energy systems. it is this application of climate model results that fuels the vociferousness of the debate surrounding climate models."

but you know wo these global warming policy foundation is, do you? they are the main advocacy group for climate change deniers in the UK, nothing scientific to start with; fine to post here reasonable scientific papers criticising global climate models but please not this shit

Evolutionary Strategies are able to explore broader areas of the search space than reinforcement learning techniques. Thus, they are able to encounter strange bugs resulting in large rewards.

It will be the new hype in a few years when DL is settled....

for the ACT architects .... Can we do the same for the Moon Village? We brainstorm on some mathematical simplified objectives for growing the settlement (taking inputs from the modular growth, resources, terrain suitability etc ....), we define some simple rules for growth and we optimize. ..... easy peasy (i am serious)

i agree, with most of the parameters that would actually be really cool. but doesn't it get very messy once economy plays a large factor?

We can start studying the ideal case, or add also some economical constraints on the settlement layout ...

Meet Salto-1P

almost cute!

Prediction-based method for encouraging reinforcement learning agents to explore their environments through curiosity (reward for unfamiliar states). Learns some games without any extrinsic reward!

Fun failure case: agent gets stuck in front of TV.

Not read this article but on a related note: Curiosity and various metrics for it have been explored for some time in robotics (outside of RL) as a framework for exploring (partially) unfamiliar environments. I came across some papers on this topic applied to UAVs when prep'ing for a PhD app. This one (http://www.cim.mcgill.ca/~yogesh/publications/crv2014.pdf) comes to mind - which used a topic modelling approach.

I tried reading the abstract and my eyes glazed over at the buzzword density. Is this hot doo doo or a meaningful result?

wow, quantum, artificial life, biomimetic, quantum supremacy .... quantum machine learning, and quantum artificial intelligence and, wait for it ...... quantum complexity. All in one abstract is this the new champion?

I know you like these... [Edit] And by the way, this website contains also more practical stuff, like this

of course, "they" being Polish Wikipedia contributors who geo-tag like mad...

Have you had a look on Japan? It looks like they just geo-tagged all their train stations.

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."

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

The race for the AI chips intensifies.

https://www.eetasia.com/news/article/18041006-ai-chip-market-competition-intensifies

Amazing engineering feat: 1 nm transistor. Besides we can argue Moore law is still OK, dennard scaling is gone and with it the performance boost, as alluded subtly. Link article: http://science.sciencemag.org/content/354/6308/99.full

Cool hologram generating tabletop. Check the videos. Would be interesting if it could be scaled down..

"Publishing industry exerts too much influence over what scientists choose to study, which is ultimately bad for science itself"

On a related topic - a nice read written in 1939 from Abraham Flexner the founder of Institute for Advanced Study in Princeton, home of some great minds on the "Usefulness of Useless Knowledge". Enjoy https://library.ias.edu/files/UsefulnessHarpers.pdf

This article is fantastic - starts already well with : "r it not a curious fact that in a world steeped in irrational hatreds which threaten civilization itself, men and women-old and young-detach them-selves wholly or partly from the angry current of daily life to devote themselves to the cultivation ofbeauty, to the exten-sion ofknowledge, to the cure ofdisease, to the amelioration of suffering, just as though fanatics were not simultaneously engaged in spreading pain, ugliness, and suffering?" Could almost be written now

A new class of exotic materials could find its way into next-generation technologies that efficiently convert waste heat into electrical current according to new research. Both the exotic materials and the means by which they generate electricity rely on a hybrid of advanced concepts-including string theory combined with black holes combined with cutting-edge condensed matter physics.

Sounds spooky