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A tiny self-organized mesh full of artificial synapses recalls its experiences and can solve simple problems. Its inventors hope it points the way to devices that match the brain's energy-efficient computing prowess.

One overview about a recent publication (10/06/2014 http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.112.236802) showing room temperature operation of a new type of laser 'discovered' in 2013, the polariton laser. This new type of laser shows extremely low threshold current density - 2 orders of magnitude below Vertical Cavity Surface Emitting Lasers (VCSEL) - and it is believed to become one important component of nanophotonic integrated components.

"...the European Commission announced in 2016 that it was investing one billion euros in a research effort known as the Quantum Technology Flagship. The goal for this project is to develop four technologies: quantum communication, quantum simulation, quantum computing, and quantum sensing. After almost two years, how is it going?" arxiv link to the actual report: http://arxiv.org/abs/1712.03773

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.

With electrical signals, cells can organize themselves into complex societies and negotiate with other colonies.

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

38 degree core body temp in microgravity stabilised after 2 months - due to reduced conv. heat transfer+evaporation https://www.nature.com/articles/s41598-017-15560-w

so that's hypopyrexia (augmented concentrations of interleukin-1 receptor antagonist) AND hypothermia (convection/evaportation)? what puzzles me is that temperatures take so long to return to baseline after astronauts return to earth.

Research group is working on turning texts into executable code.

Might have some interesting datasets.

71 Arguments why the ACT needs legged robots and a pretty impressive work.

Making a jumping spider eye with nanophotonics and computer vision: depth from defocus with an integrated mentalens sensor! Some in the ACT might be familiar with the concept...

Beautiful interactive tree of life

A bit slow, but I finally could figure out the common ancestor of the nine-banded armadillo and the common ostrich!

Interesting long read on the future of deep-sea mining

:) always thought so!

The direct link without the Washington post paywall https://www.researchgate.net/publication/329131866_Going_With_Your_Gut_The_Inaccuracy_of_Forecast_Revisions_in_a_Football_Score_Prediction_Game

Actually read the paper now and think that this is very doubtful that this could be generalised. They used predictions for football games by those betting on outcomes ...

curious project

Also Physics, Math, Statistics, CS , see https://portal.paperswithcode.com/

smart students ...

... stupid AI

are we paying more for socially less valued jobs or are "immoral" jobs paying more because of the nature of their work?

appears like solid data confirming the link between the two; using also EO data from space