The end of work-as-we-know-it, and radical longevity: The imminent clash between technology and humanity is already rushing towards us. What moral values are you prepared to stand up for--before being human alters its meaning forever? This is not me saying this. This is Gerd Leonhard a new kind of futurist schooled in the humanities as much as in technology. A musician by origin, Gerd connects left and right brains for a 360-degree coverage of the multiple futures that present themselves at any one time.

If you haven't heard about it yet, there's a new sci-fi thriller movie coming called Morgan, which focuses on a robot with advanced artificial intelligence (AI) that -- to no surprise -- rebels against its human creators. Appropriately, movie studio 20th Century Fox turned to IBM's Watson, a supercomputer AI capable of analyzing human personalities and emotions, researching cancer, and powering self-driving busses, to create its own version of the film's trailer. While the AI in Morgan quickly learns new abilities to use against human and subsequently goes out of control, IBM researchers first needed to teach Watson about movie trailers. They did this by feeding it over 100 horror movie trailers that were cut into different scenes and moments, and then allowing Watson to perform analyses on aspects such as visuals, sound, and composition in order to understand what makes up a trailer and what viewers find scary. After this, Watson was given the full movie Morgan to dissect, and managed to come up with six minutes of video featuring 10 scenes.

IBM used its artificial intelligence platform Watson to create a movie trailer for the film Morgan, a tale of the fate of an artificially created human. The IBM team worked with 20th Century Fox, it said. John R. Smith, IBM Fellow, Manager, Multimedia and Vision, said in a blog: "How do you create a movie trailer about an artificially enhanced human? Fox wanted to explore using artificial intelligence (AI) to create a horror movie trailer that would keep audiences on the edge of their seats." It could have been generated using Artificial Intelligence.

While many of the different works on artificial intelligence (A.I.) focus on improving the quality of human life and easing the burden on people for certain tasks, the threat of machines taking over our jobs is nothing new. With the Fourth Industrial Revolution that brings fancy concepts like Internet of Things (IoT) or Big Data to the traditional industrial facilities in order to embrace unprecedented automation opportunities, more and more blue collar workers are faced with the unemployment threat. But judging by the way things are going, robots will not stop at factories. Another traditional profession, news reporting, is also under near threat of A.I. and the reason for this is very simple: Machines love categorical information. If it is possible to put every piece of data in order on an Excel spreadsheet, no matter how complex it is, then A.I. is perfectly capable of analyzing and producing meaningful information from this sheet.

Subscribe and watch more sci-fi shorts on DUST: http://bit.ly/2aqc5vh This is the dark conclusion that humans have reached in David Karlak's short film "Rise." In the near future, robots have developed advanced emotional sophistication and their human creators don't like it. What should have been a simple and violent extermination of artificial life proves harder when a captured robot demonstrates that the human aggressors are biting off more than they can chew. Our team loves the short for its impressive visual effects and character driven story.

Online dating is not for everyone -- and that's okay. According to the Pew Research Center, 15 percent of American adults use online dating sites and apps, and 59 percent believe it's a good way to meet people. But that doesn't mean online dating is the end-all-be-all of finding a partner. SEE ALSO: 15 facts that prove you're better off single Getting consumed by the world of profile pictures, ghosting and sometimes shallow hookups can be discouraging, and can often lead to burn out. Sometimes the healthiest thing to do is to delete your profile so you can take stock of what really matters.

I cannot think more than 2 hours without thinking how to introduce AI techniques into what I'm thinking about. The last time it happened was super interesting and stay with me to see how I used graph theories to crawl reddit and make a knowledge base about Magic the Gathering card relations. Long story short, I was browsing magiccardmarket.eu to check which cards to buy when I found a guy selling a 9 card for 6 . The card spiked over the week-end and I jumped on reddit to check out the reason. Is there a new deck using it?

Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz. Our intent is to provide our readers a one-stop source of late-breaking news to help keep you abreast of this fast-paced ecosystem. We're working hard on your behalf with our extensive vendor network to give you all the latest happenings. Be sure to Tweet Above the Trend Line articles using the hashtag: #abovethetrendline.

There are few subjects in computing as fascinating, or intimidating, as machine learning. Let's face it -- mastering machine learning isn't something you can do in a weekend, and at the very least it requires a good grasp of the underlying mathematical principles. That said, if you've got the math chops, you'll want to augment your use of machine-learning frameworks (of which there are plenty to pick from now) with a good understanding of the theory behind them. Here are five high-quality, free-to-read texts that provide introductions to and explanations of machine learning's ins and outs. Some have code examples, but most focus on formulas and theory, meaning they can in principle be applied to any number of languages, frameworks, or problems.

Everything in our online life is indexed. Every idle tweet, status update, or curious search query feeds the Google database. The tech giant recently bought a leading artificial-intelligence research outlet, and it already has a robotics company on its books. So what if Google, or Facebook, or any of the companies we entrust our information to, wanted to use our search histories to create an artificially intelligent robot? Writer and director Alex Garland's new film, Ex Machina, looks at just that.