The world's first Artificially Intelligent physicist is here, and it has already replicated a Nobel Prize-winning experiment -- one that involved creating an ultracold state of matter called Bose-Einstein condensate. This network was named by EContent Magazine to its "Trendsetting Products of 2014" list.

"[It's a] data token that boils you down to a data object," says Pete Kazanjy, founder of TalentBin, a service that uses social media to find job recruits (now part of Monster). That's especially true for hard numbers, said Google's SVP of "people operations" Laszlo Bock in a 2013 New York Times interview. "One of the things we've seen from all our data crunching is that GPAs are worthless as a criteria for hiring, and test scores are worthless," said Bock. A growing wave of hiring tech firms are ingesting far more information about candidates--surveys, work samples, social media posts, word choice, even facial expressions. Adding artificial intelligence (AI), they promise to assess work skills as well as personality traits like empathy, grit, and prejudice to provide a richer understanding of who the applicant is and whether they will fit.

Google is holding its biggest event of the year, showing off everything that it's going to release through 2016. The general public and developers will get their first glimpse at the products and technology that's going to rule our lives – via our phone, home, car, computer and everything else. Some of what will be announced has already leaked, and others have been spoiled by Google themselves in advance of the event. Those include rumours about a new device for the home and new technology for your phone, as well as Google's update to Android Pay that now allows it to be used in the UK. But the main event is still set to be packed with surprises, including the first details of Google's own virtual reality headset and new phone technology.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

China's biggest manufacturer of home appliances, Midea Group, announced Wednesday an unsolicited takeover bid for German robot maker Kuka, offering 115 euros ( 130) for each share of the German company, valuing it at over 5 billion. The Chinese company, which has a market cap of about 21 billion based on its listing in the Shenzhen Stock Exchange, had, on Feb. 4, announced it raised its stake in Kuka to 10.2 percent and currently owns 13.5 percent of the German company's shares. The offer, made through Midea subsidiary MECCA International, of 115 euros is a 59.6 percent premium to Kuka's closing share price on Feb. 3, which was 72.05 euros per share. The company said in its statement it "is committed to maintaining Kuka's independence as a publicly listed company in Germany and has no intention of entering into a domination agreement regardless of the result of the takeover offer." Midea has previously announced its intent to increase its stake in Kuka, and the current bid is to keep in line with regulatory framework that makes it mandatory for an acquiring company to make an open offer for all issued shares of the company being acquired, if its stake exceeds 30 percent.

Note: The title of this post is circular. But I use/abuse it because of the post linked below. I noticed on the Hacker News front page (and via multiple reshares on twitter), a discussion on why logistic regression uses a sigmoid. The article linked in the story talks about the log-odds ratio, and how it leads to the sigmoid (and gives a good intuitive plug on it). However, I think that the more important question is – Why do you care about log-odds?

The experiment, developed by physicists from ANU, University of Adelaide and UNSW ADFA, created an extremely cold gas trapped in a laser beam, known as a Bose-Einstein condensate, replicating the experiment that won the 2001 Nobel Prize. The artificial intelligence system's ability to set itself up quickly every morning and compensate for any overnight fluctuations would make this fragile technology much more useful for field measurements, said co-lead researcher Dr Michael Hush from UNSW ADFA. The team cooled the gas to around 1 microkelvin, and then handed control of the three laser beams over to the artificial intelligence to cool the trapped gas down to nanokelvin. "It may be able to come up with complicated ways humans haven't thought of to get experiments colder and make measurements more precise.

Physicists are putting themselves out of a job, using artificial intelligence to run a complex experiment. The experiment, developed by physicists from ANU, University of Adelaide and UNSW ADFA, created an extremely cold gas trapped in a laser beam, known as a Bose-Einstein condensate, replicating the experiment that won the 2001 Nobel Prize. "I didn't expect the machine could learn to do the experiment itself, from scratch, in under an hour," said co-lead researcher Paul Wigley from ANU Research School of Physics and Engineering. "A simple computer program would have taken longer than the age of the universe to run through all the combinations and work this out." Bose-Einstein condensates are some of the coldest places in the Universe, far colder than outer space, typically less than a billionth of a degree above absolute zero.

Artificial intelligence developed by a group of Australian research teams has replicated a complex experiment which won the Nobel Prize for Physics in 2001. The intelligent machine learned how to run a Bose-Einstein condensation – isolating an extremely cold gas inside a beam of laser light – in under an hour, something the team "didn't expect". Results have been published in the Scientific Reports journal. The algorithm has also been uploaded to GitHub for other researchers working on "quantum experiments". "A simple computer program would have taken longer than the age of the universe to run through all the combinations and work this out," said Paul Wigley, co-lead researcher of the study and professor at the School of Physics and Engineering at the Australian National University.