"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
Scientists anticipate the output would be more than twice the power used to heat the plasma, achieving the ultimate technical milestone: positive net energy from fusion.
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.
This is clearly interesting for the new YGT on Space Architecture (with background on fabrics) that comes in October. Since I was asked to provide input here, this could be a solid ground to start with. Thanks. :)
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!
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.
:) the idea of having this method for debris removal is actually an ACT one from Claudio Bombardelli (ACT RF in MAD https://en.wikipedia.org/wiki/Ion-beam_shepherd). This is just a technological device to implement it so that the system on board is simplified (i.e. instead of two engines, you get away with one and a weird nozzle)
Marcus, you cannot align it to get rid of two debris as you need to keep the spacecraft close to the debris as this is a long duration acion. One of the two would drift away (can only follow one!)
Genetic algorithms are a competitive alternative for training deep neural networks for reinforcement learning.
For paper see: https://arxiv.org/pdf/1712.06567.pdf
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).
Two ways of measuring the universe's expansion rate yield two conflicting answers. Many point to the possibility of new physics at work, but a new analysis argues that unseen errors could be to blame.
See also this work based on GAIA data that, on the other hand, reinforces the discrepancy:
Milky Way Cepheid Standards for Measuring Cosmic Distances and Application to Gaia DR2: Implications for the Hubble Constant
https://arxiv.org/abs/1804.10655
Norwegian scientist Kristian Morten Olesen has patented a process to mix nano-particles of clay with water and bind them to sand particles to condition desert soil - he has been working on Liquid Nanoclay (LNC) since 2005.
The news here that some patent has been filed. If it actually works the guy is an ass for wanting to patent something that is solving world hunger. If it does not, then the guy is still an ass. So the news is that this guy is an ass :)
Dataset automatically constructed from public images uploaded by users on FB/Instagram with hashtags used as labels! They refer to this as 'weakly supervised learning'. Then neural net fine-tuned for ImageNet and achieved record 85.4% accuracy.
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
A free software tool that could revolutionize the drone industry to design and build your own drone/aircraft/fighter with a 3-D online software that generates aerodynamic information (maybe optimization also) about your own design.
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.