Cécile B. Evans, How happy a Thing Can Be, 2014. The word'automation' is appearing in places that would have seemed unlikely to most people less than a decade ago: journalism, art, design or law. Robots and algorithms are being increasingly convincing at doing things just like humans. The Promise of Total Automation, an exhibition recently opened at Kunsthalle Wien in Vienna, looks at our troubled relationship with machines. Technical devices that were originally designed to serve and assist us and are now getting smarter and harder to control and comprehend.

Artificial Intelligence is starting to play a big role in our daily life, and judging by recent developments in the field, it looks like the importance of AI will only increase in time. While some people worry that advancements in AI could replace jobs in the long run, it's difficult to argue with the idea that artificial intelligence can bring countless benefits in numerous fields, ranging from production to automotive and healthcare. Needless to say, companies have different takes on machine learning, and artificial intelligence is used in more than one way. In Facebook's case, AI will start playing a role in making social media interaction more meaningful to blind and visually impaired Facebook users who, starting today, can use a new feature called "automatic alternative text" in order to get a more detailed description of Facebook photos. One of the main reasons why Facebook enjoys as much popularity as it does today is because of photo sharing.

An artificial intelligence breakthrough from the universities of New York, Toronto and MIT is showcasing the impressive ability of artificial intelligence to learn visual concepts in a single shot and manipulate them in human-like ways. The advance could lead to smarter phones, much-improved speech recognition, and computers that better understand the world around them. Human beings show a remarkable ability to learn things on the fly: children, for example, need only be shown one example of a new object like a dog or schoolbus before they can identify other instances on their own. One of the reasons for our quickness, researchers believe, is that we often understand new concepts in terms of how their familiar parts work together as a whole. When we first saw a Segway, we quickly recognized wheels and a handle, concluding to a reasonable degree of certainty that it must be some form of personal transportation.

Data scientists can provide firms with access to a magical world of machine learning and all that it promises. This question was posed to a panel of experts in the field at Money 20/20 Europe in Copenhagen. Jay van Zyle of Innosect, moderating, asked if a data scientist is now just a computer person that went on a statistics course, or conversely, a stats person that went on a computer programming course? Or is it entirely a new discipline? Marco Bressan, chief data scientist, BBVA provided an elegant analogy to illustrate the plight of the data scientist: "One simple way is to look at data scientists doing machine learning as farmers. While traditional software developers you could look at more like manufacturers. "Traditional software developers would put modules together, and that would come out one machine.

What is supervised machine learning and how does it relate to unsupervised machine learning? In this post you will discover supervised learning, unsupervised learning and semis-supervised learning. Supervised and Unsupervised Machine Learning Algorithms Photo by US Department of Education, some rights reserved. The majority of practical machine learning uses supervised learning. Supervised learning is where you have input variables (x) and an output variable (Y) and you use an algorithm to learn the mapping function from the input to the output.

A robotic mule called AlphaDog never won't be part U.S. Marines. As it turns out, the robot is too loudy.U.S. Marine Corps has decided its Legged Squad Support System, or LS3, also known as the "robotic mule," is too loud to use on the battlefield. The Marines began testing the robotic mule in a series of training events in September, although officials at the Defense Advanced Research Projects Agency said the gas-powered quadruped would likely never see actual combat. The robot was used to carry equipment, lightening the load for troops on the field. Testing events included simulations in forests, open fields and urban environments, where the robot was able to carry over 400 pounds of equipment.

A wave of innovation has made it possible for people to get their banking done without walking into a branch if they don't want to. People can now deposit checks using a smartphone or digitally fire off cash to friends using Venmo. The end result is a pretty sweet experience for consumers...but an imminent threat to people who work at bank branches. The downsizing of the bank workforce is about to accelerate as more technology takes over jobs humans used to do, according to a new Citigroup report. Another 30% of bank jobs could be lost between 2015 and 2025, mainly due to retail banking automation, Citi warned.

Mercedes-Benz parent company Daimler is sending a convoy of three autonomous big rigs from its headquarters in Stuttgart, Germany, to Rotterdam, Holland, as part of the European Union-sponsored European Truck Platooning Challenge of 2016. Based on the series-produced Actros model, the three trucks are equipped with Mercedes' Highway Pilot Connect software, which relies on vehicle-to-vehicle (V2V) technology to let the rigs travel in what Daimler calls a platoon. Data about the road ahead gathered by the lead truck is constantly transferred to the two other trucks via a Wi-Fi connection, so each vehicle knows precisely when to accelerate, when to brake, and when to turn without requiring any human input. However, the driver must remain alert and focused on the road ahead. The trucks in the platoon follow each other in 50-foot intervals, which boosts gas mileage by up to ten percent by reducing drag.

Humanoid robots can sense the world around them, move their bodies, and interact with people in ways that are similar to the ways that real people interact. But a robot's "human-ness" is (at least for now) all just a simulation. It's a combination of clever software, and in some cases, hardware that's designed to make it easy for us to fool ourselves into thinking that some glorified box of circuits is even a little bit like a person. We're very, very good at fooling ourselves like this, to the point where it starts to get a little weird. Researchers from Stanford University will present a paper at the Annual Conference of the International Communication Association in Fukuoka, Japan, in June, with the title of "Touching a Mechanical Body: Tactile Contact With Intimate Parts of a Human-Shaped Robot is Physiologically Arousing."

Terrifying, toothy, and with tears you can never trust, crocodiles are fearsome predators. But added to their ability to lay perfectly still with mouth agape for hours on end is the most powerful bite in the animal kingdom. Now research has shed light on exactly how crocodilians got their bite, and it's thanks to a second jaw joint which helps to spread out the full force when their teeth snap shut. New research has shed light on how crocodiles and alligators get their bite. The reptiles have a second joint in their jaws which helps to spread out the full force of their powerful bites, stabilising the jaw and keeping grip.