Ugh... no operator overloading, no efficient generic programming and no lambda expressions... Only time will tell, but I don't understand who the intended audience is: I think that Python guys won't care about the (supposedly) increased performance (and you can interface C/C++ with Python easily) and that C++ programmers (I mean, the hardcore serious C++ Boost-like programmers, no the Java-like whiners :P) won't have their beloved templates pried from their cold dead hands with ease.
yeah though I think especially operator overloading is not going to be a main problem, it is as with the JS library though quite thinkable that lots of users will switch or use it (or being put to use it...) because it is done by Google
Having Google backing it will certainly help, even though they are presenting it as a "system level" (i.e., hard-core) language, and in that domain it is much more difficult to bullshit your way to a position of relevance.
Look at Java: Sun pushed it like hell and it is certainly widely used in many contexts (corporate, web and embedded markets mostly), yet it completely failed to win the hearts of "open-source" developers (or, more generally, of those developers who are not forced to use it by virtue of some management-driven decision).
I don't think so, it is just a code optimizer for JavaScript, unless there are somewhere big JavaScript (web2.0) applications running that is not of much interest for us
Other google labs systems e.g. FriendConnect could be useful for Ariadnet, maybe also the visualization and social graph API
Localized high concentrations of methane have been discovered by the Curiosity rover.
This points to localized sources of methane of yet unknown nature.
Maybe the ACT's odor source localization should be resurrected!
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
The article came out some time ago of course and was posted here, though the story here is still well written.
If you are lazy to read the rel long article, here the summary explanation:
The team found that a good half of the force came from heat from the RTGs, which bounced off the back of the spacecraft antenna. The other half came from electrical heat from circuitry in the heart of the spacecraft. Most of that heat was radiated through louvers at the back of the probes, which weren't as well insulated as the rest of their bodies, further contributing to the deceleration.
A vast bubble of hot, rarefied gas has been revealed as a source of cosmic rays - the mysterious particles that batter the Earth continuously. The observation of the so-called superbubble, measuring more than 100 light-years across, was made using gamma rays collected by NASA's Fermi satellite and sheds light on the origin of cosmic rays in regions of massive-star formation.
A new type of structure for converting red light into blue has been unveiled by researchers in the US. Known as frequency doubling or second-harmonic generation (SHG), the conversion involves "nanocups", which are tiny, artificially designed 3D structures. SHG is used in light sources and in metrology applications - and the researchers believe that the new structures could be adapted to achieve frequency doubling in parts of the electromagnetic spectrum where it is currently not possible.
Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs. Runs on Windows, Linux and Mac OS X. Gephi is open-source and free. Learn More on Gephi Platform " Gephi 0.8.1-beta has been released! Discover a new Timeline, dynamic ranking and weighted community detection.
Progress in atomic, optical and quantum science1, 2 has led to rapid improvements in atomic clocks. At the same time, atomic clock research has helped to advance the frontiers of science, affecting both fundamental and applied research. The ability to control quantum states of individual atoms and photons is central to quantum information science and precision measurement, and optical clocks based on single ions have achieved the lowest systematic uncertainty of any frequency standard3, 4, 5. Although many-atom lattice clocks have shown advantages in measurement precision over trapped-ion clocks6, 7, their accuracy has remained 16 times worse8, 9, 10. Here we demonstrate a many-atom system that achieves an accuracy of 6.4 × 10−18, which is not only better than a single-ion-based clock, but also reduces the required measurement time by two orders of magnitude. By systematically evaluating all known sources of uncertainty, including in situ monitoring of the blackbody radiation environment, we improve the accuracy of optical lattice clocks by a factor of 22. This single clock has simultaneously achieved the best known performance in the key characteristics necessary for consideration as a primary standard-stability and accuracy. More stable and accurate atomic clocks will benefit a wide range of fields, such as the realization and distribution of SI units11, the search for time variation of fundamental constants12, clock-based geodesy13 and other precision tests of the fundamental laws of nature. This work also connects to the development of quantum sensors and many-body quantum state engineering14 (such as spin squeezing) to advance measurement precision beyond the standard quantum limit.
Interesting to see that almost everything in sci-fi that looks pretty cool requires a power source that has not been invented yet. Imagine what would be possible if you would have a table top high power source available.
During one of these meetings I asked directly whether the government would move to close down the Guardian's reporting through a legal route - by going to court to force the surrender of the material on which we were working. The official confirmed that, in the absence of handover or destruction, this was indeed the government's intention. Prior restraint, near impossible in the US, was now explicitly and imminently on the table in the UK. But my experience over WikiLeaks - the thumb drive and the first amendment - had already prepared me for this moment. I explained to the man from Whitehall about the nature of international collaborations and the way in which, these days, media organisations could take advantage of the most permissive legal environments. Bluntly, we did not have to do our reporting from London. Already most of the NSA stories were being reported and edited out of New York. And had it occurred to him that Greenwald lived in Brazil?
The man was unmoved. And so one of the more bizarre moments in the Guardian's long history occurred - with two GCHQ security experts overseeing the destruction of hard drives in the Guardian's basement just to make sure there was nothing in the mangled bits of metal which could possibly be of any interest to passing Chinese agents. "We can call off the black helicopters," joked one as we swept up the remains of a MacBook Pro.
Whitehall was satisfied, but it felt like a peculiarly pointless piece of symbolism that understood nothing about the digital age. We will continue to do patient, painstaking reporting on the Snowden documents, we just won't do it in London. The seizure of Miranda's laptop, phones, hard drives and camera will similarly have no effect on Greenwald's work.
The state that is building such a formidable apparatus of surveillance will do its best to prevent journalists from reporting on it. Most journalists can see that. But I wonder how many have truly understood
Sarah Harrison is a lawyer that has been staying with Snowden in Hong Kong and Moscow. She is a UK citizen and her family is there. After the miranda case where the boyfriend of the reporter was detained at the airport, can Sarah return safely home? Will her family be pressured by the secret service?
http://www.bbc.co.uk/news/world-latin-america-23759834