Robotics is finally reaching the mainstream and androids - humanlike robots - are everywhere at SXSW Experts believe humanlike robots are the key to smoothing communication between humans and computers, and realizing a dream of compassionate robots that help invent the future of life. About CNBC: From'Wall Street' to'Main Street' to award winning original documentaries and Reality TV series, CNBC has you covered. Experience special sneak peeks of your favorite shows, exclusive video and more. Connect with CNBC News Online Get the latest news: http://www.cnbc.com/ Find CNBC News on Facebook: http://cnb.cx/LikeCNBC

First of all, though, there might still be things left to achieve with Go. Ke Jie, an 18-year-old Go virtuoso from China ranked #1 in the world, seemed cautiously optimistic about his own chances following Lee's first defeat last week, saying "it's 60 percent in favor of me." And many Go players have said they want to learn as much about AlphaGo as possible -- after all, it's only ever played a handful of games in public, demonstrating unorthodox, crushing tactics. It seems likely that AlphaGo will eventually be released to the public, and don't be surprised to see a match against Ke at some point; Lee Se-dol was chosen for his iconic stature and long career, but Ke is considered the stronger player today. DeepMind founder Demis Hassabis (above) has also said the company plans to test a version without any human training at all -- just the program teaching itself.

As a proof of concept, the researchers set up a publicly available web site called Regex Generator at http://regex.inginf.units.it/ You do so by entering a piece of text and then highlighting the segments to be extracted. After the minimum requirements in the length of text and the number of matches to extract (requires a minimum of 25 highlighted items) are satisfied,the'Evolve!' button becomes enabled. By pressing it you start a run and let the engine come up with the regular expression suitable for the task.

Trying to understand what is _really_ going on in the universe.

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Apple has revealed a 29 armed robot that can rip apart an iPhone in 11 seconds for recycling. It is hoped the machine will help recycle silver, tungsten and other metals from the handsets. The system started to operate at full capacity last month and can take apart one iPhone 6 every 11 seconds to recover aluminum, copper, tin, tungsten, cobalt, gold and silver parts, according to Apple. The system started to operate at full capacity last month and can take apart one iPhone 6 every 11 seconds to recover aluminum, copper, tin, tungsten, cobalt, gold and silver parts, according to Apple. It has already been installed near Apple's HQ in Cupertino, and it plans to build a second in Europe.

Curious if anyone has a better answer, but AFAIK the linear and quadratic functions you're talking about are usually related to regression problems, while neural networks are traditionally used for classification problems. While you could use a neural network for this use, I'd imagine the graph could really look like almost anything, and could take any form the NN spit out. The fact that you're using a NN means you won't have a continuous graph like a regression problem.

Would you trust a robot to escort you out of a burning building? NPR's Robert Siegel talks with roboticist Paul Robinette, lead author of the Georgia Tech study, "Overtrust of Robots in Emergency Evacuation Scenarios."