"It shows that people respond to robots in a primitive, social way," researcher Jamy Li said in the release. "Social conventions regarding touching someone else's private parts apply to a robot's body parts as well. This research has implications for both robot design and theory of artificial systems." As shown in the video above, the robot in the experiment also provides an anatomical definition of each body part touched. There were four female volunteers and six male volunteers in the small study, according to The Guardian.

In episode five of Season two Ryan walks us through variational inference, we put some listener questions about Go and how to play it to Andy Okun, president of the American Go Association (who is in Seoul South Korea watching the Lee Sedol/AlphaGo games). Plus we hear from Suchi Saria of Johns Hopkins about applying machine learning to understanding health care data.

At least, that's what we've been telling young professionals and mid-career workers alike who want to hack it in the modern workforce--in fact, it's advice I've given myself. And judging by the proliferation of coding schools and bootcamps we've seen over the past few years, not a few have eagerly heeded that instruction, thinking they're shoring up their livelihoods in the process. Unfortunately, many have already learned the hard way that even the best coding chops have their limits. More and more, "learn to code" is looking like bad advice. Anyone competent in languages such as Python, Java, or even web coding like HTML and CSS, is currently in high demand by businesses that are still just gearing up for the digital marketplace.

Students, global experts and researchers recently gathered for the third annual Machine Learning and Data Analytics Symposium (MLDAS) in Doha. Organized by the Qatar Computing Research Institute (QCRI) and the Boeing Company, the event served as a platform to discuss happenings in machine learning and data analytics from applications to recent advances. "When we organized the first MLDAS three years ago, we wanted to drive conversations and innovations in the machine learning and data analytics field," Dragos Margineantu, MLDAS co-chair and technical fellow with Boeing Research & Technology, said. "Since that time, we have seen unprecedented growth and, though we're just one piece of a huge field, I'm proud that we've been involved and helped connect respected researchers with practitioners and students to further advance research in the fields of machine learning and data analytics." The two-day symposium included talks on how machine learning techniques can be applied to scientific discovery and aircraft health maintenance.

In July 2013, an up-and-coming artist had an exhibition at the Galerie Oberkampf in Paris. It lasted for a week, was attended by the public, received press coverage, and featured works produced over a number of years, including some created on the spot in the gallery. Altogether, it was a fairly typical art-world event. The only unusual feature was that the artist in question was a computer program known as "The Painting Fool." Even that was not such a novelty.

This ANN introduction only covers the basic fundamentals. In the next chapter, we will learn about the computing strategies that enable ANN's predictive capabilities.

What's striking in these discussions is regardless of whether you fear or love AI bots, our future with them is inevitable. People are excited about Bots, both physical and digital, because they are the next wave of industrial revolution. Industrial revolutions are not defined by individual technological improvements, but changes in labor and distribution. During the 1st and 2nd industrial revolutions, many things were invented; from looms to steam engines to new smelting iron techniques. It was an Industrial Revolution because goods were no longer produced by human hands, but could be primarily outsourced to machines and manufacturing processes.

Popular chat app Kik may not have quite the clout of Facebook Messenger or Snapchat, but what they do have, as of Tuesday, is bots. Specifically, Kik now has multi-functional bots that allow you to do things like shop, play games and check the weather, similar to features offered by Skype. The humble chat bot, a marvelous curiosity of early artificial intelligence technology, saw a small surge a few years back, with bots like SmarterChild gaining a bit of internet fame and making for an afternoon of oohs, aahs and laughs. More sophisticated bots, such as the award-winning Mitsuku chat bot, are coming dangerously close to being able to pass a Turing Test, a test where a human chats with the bot and decides if the person they're talking to is a bot or a human. Some bots, however, have been developed in a different direction.

This is a NAO robot asking a human to touch its hand for science. Robots can't feel shame, which saves them from any awkwardness when they ask a human to touch their buttocks. Humans are not so lucky, and when asked by a robot to touch part of its body, humans will get uncomfortable if that body part is generally thought of as private. In a new study, Stanford researchers found that people get weirded out touching "low-accessible" parts of the robot's body (crotch, butt, that sort of thing). The paper will be presented this week in Fukuoka, Japan, at the Annual Conference of the International Communication Association.

WASHINGTON – A Boeing company manager convicted of child pornography charges in December says he has a right to know what arguments the government used to obtain the warrant from the Foreign Intelligence Surveillance Court. Now, the Los Angeles case is testing a defendant's ability to access information about himself presented to the nation's secretive intelligence court, which issued the warrant that let agents scour his computers. At issue is how the government uses evidence derived through the Foreign Intelligence Surveillance Court and under what circumstances that information should be seen by defendants, particularly when it's repurposed for a routine criminal prosecution that has nothing to do with national security. Gartenlaub and his lawyers say they have a right to know the government's arguments that were used to obtain the warrant, and fight them. "You can't base a search on lies," the 47-year-old said in an interview with The Associated Press.