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sante can you have a look at this?

blablabla

Two companies doing lamps, displays, switches etc with printable circuit technology

"weapons for mass construction" - they want to solve everything with a new type of internet. including "swarm awareness" and "hive intelligence"

Feed the astronauts with fungi a la Tschernobyl

A whole collection of articles on biomimetic materials science. Definitely worth a look.

The Millennium Project is a global participatory futures research think tank of futurists, scholars, business planners, and policy makers who work for international organizations, governments, corporations, NGOs, and universities. The Millennium Project manages a coherent and cumulative process that collects and assesses judgements from its several hundred participants to produce the annual "State of the Future", "Futures Research Methodology" series, and special studies such as the State of the Future Index, Future Scenarios for Africa, Lessons of History, Environmental Security, Applications of Futures Research to Policy, and a 700+ annotated scenarios bibliography.

very nice page - we should use some of its resources!!

Centralise all your networks / messaging in one place. One of the best I've seen available. Havent tested yet... (KdG)

interesting new agency for renewable energy .... (view from Eurosolar)

The scientific rationale behind it is that at km-depth there could be a) water resources (which could support a biosphere) and b) understand the formation of Mars. I would argue that an efficient drilling (robot) is also valuable for possible developing underground habitation (caves) at some point. This paper mentions two drilling concepts, but we could come up with many more (bio-inspired) probably. Daniel already came up with a nice one.. microwave drilling Also, the NASA InSight probe to Mars in 2016 is using a DLR-designed 'Mole' drill that is designed to reach a depth of... 5 meters

In this case I was thinking more about a smaller and controlled digging effort.. not ablating a football field sized hole

Nice one! plenty of examples in nature for this

unfortunately the original article is subscription only "Among the evidence the article cites for this conclusion is Google's recent hiring of Brian Holtz and Dave Bettinger. Both came from companies (O3b and VT iDirect respectively) that specialize in communication satellites. Google has also invested in O3b and a current Google employee sits on company's board. A Boeing representative told The Information that Facebook and Google are "beginning to show a broader interest in satellite technology." While both companies are looking to space to broaden their reach, the ad-supported Google has the potential resources (cash) and gumption to actually follow through in the immediate future."

Mining the moon - now we know that the Moon's poles hold millions of tonnes of water ice, firms in the US as well as the Indian and Chinese space agencies are planning to mine this resource and sell it to space missions as fuel.

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."

Genetic algorithms are a competitive alternative for training deep neural networks for reinforcement learning. For paper see: https://arxiv.org/pdf/1712.06567.pdf

Interesting pointers in this one! I would like to explore neuroevolution as well, although it seems extremely resource-demanding?

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).

interesting idea to produce O2 differently on Mars

Also, let's see how MOXIE does onboard the Mars2020 rover! https://mars.nasa.gov/mars2020/mission/instruments/moxie/for-scientists/

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

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