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Responding to calls from the National Science Foundation (NSF) and White House Office of Science and Technology Policy (OSTP), a working group of the American Statistical Association has developed a whitepaper detailing how statisticians and computer scientists can contribute to administration research initiatives and priorities. The whitepaper includes a lot of topics central to machine learning and data mining, so please take a look.

I guess Norvig is trumping Chomsky big time if this is the attitude of the NSF :)))

An oldie but a goodie, " As you will never be sure which are the right problems to work on, most of the time that you spend in the laboratory or at your desk will be wasted. If you want to be creative, then you will have to get used to spending most of your time not being creative, to being becalmed on the ocean of scientific knowledge"

already forwarded it to other researchers in desperation phase :-D :-D

New sensor to detect distances efficiently is based on the mixture chemistry, optics and physical principles.

No idea how it works, will need to digg into it.. Tom, shall we use Mixer?

Software that roughly mimics the way the brain works could give smartphones new smarts-leading to more accurate and sophisticated apps for tracking everything from workouts to emotions. The software exploits an artificial-intelligence technique known as deep learning, which uses simulated neurons and synapses to process data.

what you think?

Cool scientific and technical feat in engineering a tractor beam. See the explanation video here http://www.nature.com/ncomms/2015/151027/ncomms9661/extref/ncomms9661-s3.mov and the thing working in real time here http://www.nature.com/ncomms/2015/151027/ncomms9661/extref/ncomms9661-s2.mov

The blockchain technology behind bitcoin has been gaining traction. This article makes a good job of describing it, and the different (not-bitcoin) ways in which it's being adopted. Worth reading, even if only for the funny bit about self-driving self-owning cars who pay themselves for fuel, parking and repairs.

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.

And the interface even looks a bit less retarded than theano

By attaching a diamond crystal to an AFM tip, researcher at New York City University managed to measure the heat flows at atomic levels in resistors. The method works due to a vacancy in the carbon lattice, two spots are empty of which one is filled with a nitrogen atom. The energy state of the vacancy is temperature dependent and can actually be read out spectroscopically.

Engineer Roger Shawyer's controversial EM Drive thruster jets back into relevancy this week, as a team of researchers at NASA's Eagleworks Laboratories recently completed yet another round of testing on the seemingly impossible tech.

I like this just because it will end up on Thijs' desk :D

Interesting that the new comes in... Yahoo Finance :). Another more complete article http://nextbigfuture.com/2015/11/nasa-eagleworks-has-tested-upgraded.html

Imagine if your clothing could, on demand, release just enough heat to keep you warm and cozy, allowing you to dial back on your thermostat settings and stay comfortable in a cooler room. Or, picture a car windshield that stores the sun's energy and then releases it as a burst of heat to melt away a layer of ice.

interesting indeed: Such chemically-based storage materials, known as solar thermal fuels (STF), have been developed before, including in previous work by Grossman and his team. But those earlier efforts "had limited utility in solid-state applications" because they were designed to be used in liquid solutions and not capable of making durable solid-state films, Zhitomirsky says. The new approach is the first based on a solid-state material, in this case a polymer, and the first based on inexpensive materials and widespread manufacturing technology. Read more at: http://phys.org/news/2016-01-material-harvest-sunlight-day-demand.html#jCp

Researchers from North Carolina State University have discovered a new phase of solid carbon, called Q-carbon, which is distinct from the known phases of graphite and diamond. They have also developed a technique for using Q-carbon to make diamond-related structures at room temperature and at ambient atmospheric pressure in air. It turns out this configuration is harder than diamond, plus the material has a very low work function. The latter might be very interesting for electronics or as electrode material.

Maybe* this is the wonder material with very low workfunction needed in the Photon Enhanced Thermionic Emitter future prototype :)

I am having less and less faith in the Dwave machine, but nonetheless, maybe we should have a look at our future encryption techniques...

why less and less ... ?

Quoted from one of the authors in a separate interview: "We know that the spin states of atomic nuclei associated with semiconductor defects have excellent quantum properties at room temperature," said Awschalom, Liew Family Professor in Molecular Engineering and a senior scientist at Argonne National Laboratory. "They are coherent, long-lived and controllable with photonics and electronics. Given these quantum 'pieces,' creating entangled quantum states seemed like an attainable goal." Bringing the quantum world to the macroscopic scale could see some interesting applications in sensors, or generally entanglement-enhanced applications.

They were previously working on the same concept in N-V centers in diamond (as a semiconductor). Here the advantage is that SiC could in principle be integrated with Si or Ge. Anyway its all about controlling coherence. In the next 10 years some breakthroughs are expected in the field of semiconductor spintronics, but quantum computing in this way lies still in the horizon

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.

"Over the past couple of decades, the research literature has filled up with endless new nature-based metaphors for algorithms. You can find algorithms based on the behaviour of cuckoos, bees, bats, cats, wolves, galaxy formation and black holes. (...) All researchers have been doing is wasting time on developing new approaches that are probably little better than existing ones. And the language of each metaphor then invades the literature, distracting people from using the already sufficiently expressive terminology of mathematics and, above all, working together to find the best way forward." The golden era of fireworks-like algorithm is about to end

Lies, lies, all lies. They will never go away. Papers need to be published.

Great engineering feat from Capasso's idea - an integrated flat lens electrically controlled enabling dynamic beam steering. Reconfigurabilility is the aim. The lens can be used microscope systems, holographic and projection imaging, LIDAR and laser printing. Besides working now on the mid-IR, visible light is the target.

wow, i want to do that !!! The suggestion of raising the funds on facebook is a good idea :) Look at this video, the future of banking, frightening isn't it ? http://www.youtube.com/watch?v=cqESjpfb3OE&feature=player_embedded

the first step is already not that trivial it seems to me: STEP 1: Form a bank.

depends on the country and of course the type of the bank :)

I'm afraid I take some issue with this rather glorious title. I've only skimmed this paper but looking at the experimental details, their 'imagined universes' comprise of a ball confined in a 2D space as well as a double pendulum. Work along this area is nothing new - it's known in the control community as Inverse Reinforcement Learning - learning dynamics of some system from demonstration trajectories. The paper title ('Toward an AI Physicist for Unsupervised Learning') is more moderate so yet again the issue is how AI is reported in the media...