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a nice review on the wonders of Hierarchical Bayesian models. It cites a paper on probabilistic programming languages that might be relevant given our recent discussions. At Hippo's farewell lunch there was a discussion on how kids are able to learn something as complex as language from a limited amount of observations, while Machine Learning algorithms no matter how many millions of instances you throw at them, don't learn beyond some point. If that subject interested you, you might like this paper.

Had an opportunity to listen to JBT and TLG during one summer school.. if they're half as good in writing as they are in speaking, should be a decent read...

According to the company's wikipedia page, the computer costs $ 10 million. Can we then declare Quantum Computing has officially arrived?! quotes from elsewhere in the site: "first commercial quantum computing system on the market"; "our current superconducting 128-qubit processor chip is housed inside a cryogenics system within a 10 square meter shielded room" Link to the company's scientific publications. Interestingly, this company seems to have been running a BOINC project, AQUA@home, to "predict the performance of superconducting adiabatic quantum computers on a variety of hard problems arising in fields ranging from materials science to machine learning. AQUA@home uses Internet-connected computers to help design and analyze quantum computing algorithms, using Quantum Monte Carlo techniques". List of papers coming out of it.

"Computer simulations of tiny robots with rudimentary nervous systems show that, over hundreds of generations, these virtual machines evolve altruistic behaviors"

I have lost track of all the artificial life/evolutionary computing studies showing the evolution of cooperation/altruism. I don't understand why all the big fuss about this latest one.

1000$ DNA sequencing costs - what you never wanted to know about your DNA ....

An international team of biochemists have discovered evidence at the molecular level in support of one of the key tenets of Darwin's theory of evolution that provides a blueprint for a general understanding of the evolution of the "machinery" of...

Hand-prothesis with a "bionic" in the product name. In a wider sense a "brain-machine-interface". Link suggested by CM.

A robot that is afraid of things. Brilliant: Machines learn human weaknesses instead of human strengths...

Leo, this is the next comp we have to buy... c'm'on ... its a non-starter .. it says: "The machine also comes pre-installed with Windows"....-LS

strange that they did not manage to make McCain win ....

Maybe the prediction that "all Higgs producing machines shall have bad luck" (http://www.nytimes.com/2009/10/13/science/space/13lhc.html?_r=2) is true after all...

interesting story with many juicy details on how they proceed ... (similarly interesting nickname for the "operation" chosen by our british friends) "The spies used the IP addresses they had associated with the engineers as search terms to sift through their surveillance troves, and were quickly able to find what they needed to confirm the employees' identities and target them individually with malware. The confirmation came in the form of Google, Yahoo, and LinkedIn "cookies," tiny unique files that are automatically placed on computers to identify and sometimes track people browsing the Internet, often for advertising purposes. GCHQ maintains a huge repository named MUTANT BROTH that stores billions of these intercepted cookies, which it uses to correlate with IP addresses to determine the identity of a person. GCHQ refers to cookies internally as "target detection identifiers." Top-secret GCHQ documents name three male Belgacom engineers who were identified as targets to attack. The Intercept has confirmed the identities of the men, and contacted each of them prior to the publication of this story; all three declined comment and requested that their identities not be disclosed. GCHQ monitored the browsing habits of the engineers, and geared up to enter the most important and sensitive phase of the secret operation. The agency planned to perform a so-called "Quantum Insert" attack, which involves redirecting people targeted for surveillance to a malicious website that infects their computers with malware at a lightning pace. In this case, the documents indicate that GCHQ set up a malicious page that looked like LinkedIn to trick the Belgacom engineers. (The NSA also uses Quantum Inserts to target people, as The Intercept has previously reported.) A GCHQ document reviewing operations conducted between January and March 2011 noted that the hack on Belgacom was successful, and stated that the agency had obtained access to the company's

I knew I wasn't using TOR often enough...

Cool! It seems that after all it is best to restrict employees' internet access only to work-critical areas... @Paul TOR works on network level, so it would not help here much as cookies (application level) were exploited.

Browsing Kaggle...

Very nice library, we actually use it for GTOC7.

Quantum Computing and Machine Learning in the same sentence. The association started to be put forward by Google and NASA playing with D-WAVE computers. Meanwhile in the academic media, https://journals.aps.org/prx/pdf/10.1103/PhysRevX.4.031002

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

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 ... ?

Our work sheds light on many interesting directions of future exploration in the development of quantum-inspired algorithms for unsupervised machine learning, which are promisingly possible to realize on quantum devices.