According to observations from many of the human workers still employed by one such restaurant, the robots simply lacked the intelligence, artificial or otherwise, to effectively wait on guests. Of the three restaurants in the southern Chinese city of Guangzhou that attempted the practice, only one remains open, and that eatery is now currently only using one of the robots it initially employed. One of the establishments employed as many as 10 robots at one time. The gimmick reportedly had some short-term benefit of driving customers through the door. However, those guests reportedly were just as quickly turned away by food that was generally considered "unpalatable" for guests, according to reports.

Last month, Google altered our technophobic opinions on AI by using its AlphaGo program to defeat a world champion at the ancient Chinese board game of Go. Although most of us that tuned into the YouTube livestreams of the face-off were likely puzzled by the images of a computer typing out moves to a game we'd never heard of, it was a far cry from the nightmarish depictions of AI we'd become accustomed to in film and literature. Now, China's version of Google, Alibaba, is doing its bit to further familiarize us with the technology. Instead of tasking it with a board game that boasts limitless possibilities, however, it's matching it up with a more pressing (and popular) task; predicting the winner of a TV singing contest. China's popular reality TV show I'm a Singer will be getting the AI treatment, with Alibaba hoping it can outwit the public, and judges, by guessing the winner of the popular contest's finale.

Alphabet's intent to get rid of Boston Dynamics hasn't affected its other robotics programs, from the looks of it. On Japan's New Economic Summit stage, the Google-X-subsidiary SCHAFT unveiled a new bipedal unit that's capable of climbing stairs, carrying a loaded barbell on its "head" unit, laterally stepping through a row of seats at a soccer stadium and even maintaining balance when a section of pipe is placed under its feel. IEEE Spectrum writes that this was part of Google exec Andy Rubin's keynote at the event, but that the debut wasn't part of a product announcement or "indication of a specific product roadmap."

A year ago, I published my original attempt at mapping the machine intelligence ecosystem. So much has happened since. I spent the last 12 months geeking out on every company and nibble of information I can find, chatting with hundreds of academics, entrepreneurs, and investors about machine intelligence. This year, given the explosion of activity, my focus is on highlighting areas of innovation, rather than on trying to be comprehensive. Despite the noisy hype, which sometimes distracts, machine intelligence is already being used in several valuable ways.

In the visual and aural realms, we very often interact with reproduced versions of an original -- a photograph of a scene, a recording of a concert. And as long as you know what the original looked and/or sounded like, it's easy to tell whether it's an accurate reproduction. For smells, the same does not hold true. Unlike audio or visual reproductions, it's hard to transmit a reproduction of a smell to someone. There have been a few attempts, of course, but while something visual can be mimicked using wavelength and luminance and sound is a matter of copying the tone, odors depend on the brain's perception of molecules.

A designer in Hong Kong made a robot in the form of actress Scarlett Johansson, and Margot E. Kaminski sees a host of interesting legal and ethical issues emerging from its creepy-beautiful self. To start with, who has the right to make a robot in the shape of an existing person? Is this a protected form of expression? "What if instead of making the Scarlett Johansson robot without the actress's permission," Kaminski asks, "a robot manufacturer legally licensed her face and trotted out millions upon millions of ScarJos to serve as personal assistants?"

List comprehension is powerful and must know concept in Python. Yet, this remains one of the most challenging topic for beginners. With this post, I intend help each one of you who is facing this trouble in python. Do you know List Comprehensions are 35% faster than FOR loop and 45% faster than map function? I discovered these and many other interesting facts in this post. If you are reading this, I'm sure either you want to learn it from scratch or become better at this concept. Both ways, this post will help you.

There's a new bot in town (Tokyo, specifically), and while it might not be as cute as Nao, as creepy as Spot and BigDog or as anthropomorphic as Atlas, it might be more practical than all of them. It walks on two legs, but not like a man, or even a bear. This one, designed by Alphabet-owned Schaft Inc., has its own uniquely robotic form of locomotion. A video then played showing robots like the one on stage, but different -- but all with a few things in common. Most important has to be the walking system.

On March 23, in an effort to appeal to a prime social media demographic, 18-24 year-old women, Microsoft launched a teen-girl-inspired chatbot named Tay. Less than a day later, the bot was swiftly removed from the site after tweeting things like "i fucking hate feminists"--and that's one of the tamer messages. In 2015, GE inaugurated a new, Multi-Modal manufacturing facility in Chakan, India. If the company's ambitions for the space are realized, it could drive a massive change in global manufacturing. But while the quick denigration of Tay's conversations may have been unexpected for Microsoft, most AI experts agree that it was inevitable.

The risk of cyberattacks is one of the most dangerous threats facing businesses today. And while new versions of attacks are constantly being born, teams of analysts are rushing to keep up with the latest risks. While many detection systems rely primarily on machine learning for catching attackers, a new AI system at PatternEx depends on human analysts as a vital part of their system of supervised machine learning. In 2015, GE inaugurated a new, Multi-Modal manufacturing facility in Chakan, India. If the company's ambitions for the space are realized, it could drive a massive change in global manufacturing.