well, he kind-of falls into his own trap: confusing/discussing "evidence" with "likelihood", and "there is" with "it may". He should have made more efforts in his writing, what he says is a bit pointless!
(just put the Icarus' paper)
Learn about how Google Flu Trends uses aggregated search query data to accurately estimate current flu activity in several countries. - Lead to a Nature paper as well
EuroGeo team developed a wearable-computer platform for testing computer-vision exploration algorithms in real-time at geological or astrobiological field sites, focusing on the concept of "uncommon mapping" in order to identify contrasting areas in an image of a planetary surface. Recently, the system was made more ergonomic and easy to use by porting the system into a phone-cam platform connected to a remote server.
a second computer-vision exploration algorithm using a neural network in order to remember aspects of previous images and to perform novelty detection
It's an article from April, now that we got Anreij's Google thing though is more actual -
Unusually, the search giant designs its own servers. For the first time, Google unveils one publicly, showing a surprise built-in battery. Read this blog post by Stephen Shankland on Business Tech.
The search for the best observatory site in the world has lead to the discovery of what is thought to be the coldest, driest, calmest place on Earth - a place where no human is thought to have ever set foot.
If you're looking for interesting articles or sites devoted to Kobe Bryant, you search Google. If you're looking for interesting comments from your extended social network about the three-pointer Kobe just made 30 seconds ago, you go to Twitter.
Tunes U puts the power of the iTunes Store to work for colleges and universities, so users can easily search, download, and play course content just like they do music, movies, and TV shows.
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
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.
Eve, an artificially-intelligent 'robot scientist' could make drug discovery faster and much cheaper, say researchers writing in the Royal Society journal Interface. The team has demonstrated the success of the approach as Eve discovered that a compound shown to have anti-cancer properties might also be used in the fight against malaria.
In the past 12 months Americans have searched for Python on Google more often than for Kim Kardashian, a reality-TV star. The number of queries has trebled since 2010, while those for other major programming languages have been flat or declining.
Likely this is correlated with the increased interest in machine learning in the past decade - all the popular DL libraries are Python-based after all...
Evolutionary Strategies are able to explore broader areas of the search space than reinforcement learning techniques. Thus, they are able to encounter strange bugs resulting in large rewards.
Recently, many competitions in the computer vision domain have been won by huge convolutional networks. In the image net competition, the convolutional network approach halves the error from ~30% to ~15%! Key changes that make this happen: weight-sharing to reduce the search space, and training with a massive GPU approach. (See also the work at IDSIA: http://www.idsia.ch/~juergen/vision.html)
This should please Francisco :)