What trends are truly inevitable? Our latest Freakonomics Radio episode is called "The Future (Probably) Isn't as Scary as You Think." Internet pioneer Kevin Kelly tries to predict the future by identifying what's truly inevitable. How worried should we be? Yes, robots will probably take your job -- but the future will still be pretty great. Below is a transcript of the episode, modified for your reading pleasure. For more information on the people and ideas in the episode, see the links at the bottom of this post. And you'll find credits for the music in the episode noted within the transcript. When you try to envision the future, what do you see? Do you see a grim picture? A world, perhaps, in which humans have become marginalized? Where technologies created to help us have gained the upper hand? The film industry takes a rather dim view of the future, doesn't it? KEVIN KELLY: Indeed, I can't think of a single Hollywood movie about the future on this planet that I want to live in.

Robot" Season 2 offered a few answers to past questions as well as new problems to be solved. Elliot (Rami Malek) is back in the real world, trying to figure out the things that had happened while he was in jail while still also trying to recall what had happened before and right after he executed the hack on E Corp. The few scenes leading up to the episode's end were catalysts to what the upcoming episode will tackle. Much to his surprise, Elliot found Tyrell's (Martin Wallstrom) wife Joanna (Stephanie Cornelioussen) waiting outside his apartment building. Darlene (Carly Chaikin) found two people knocking on Cisco's (Michael Drayer) door, while Cisco saw something at Susan's (Sandrine Holt) house. The upcoming episode will reveal the answers to the questions left in the previous episode. The synopsis for episode 10, titled "eps2.8h1dden-pr0cess.axx," Darlene tries to do the right thing. Dom and FBI get closer."

So you are looking to get into drones, but you don't know what type of drones there are? You have heard people talking about photography drones, racing drones and mini drones (commonly know as training drones). Here is where you will find out just that question.

This week on AI: 'See you on Sept. 7,' Apple's 14.5B bill, detonating Note 7 & more

Knowing that an AI wrote Sunspring makes the movie more fun to watch, especially once you know how the cast and crew put it together. Director Oscar Sharp made the movie for Sci-Fi London, an annual film festival that includes the 48-Hour Film Challenge, where contestants are given a set of prompts (mostly props and lines) that have to appear in a movie they make over the next two days. Sharp's longtime collaborator, Ross Goodwin, is an AI researcher at New York University, and he supplied the movie's AI writer, initially called Jetson. As the cast gathered around a tiny printer, Benjamin spat out the screenplay, complete with almost impossible stage directions like "He is standing in the stars and sitting on the floor." Then Sharp randomly assigned roles to the actors in the room.

Movie trailers are often a bit formulaic. In fact, since many of them are edited so predictably, it seems even a computer can put one together. For the film "Morgan," which is due out in theaters on September 2, IBM's Watson made the first movie trailer ever edited by artificial intelligence. To make the film, an IBM blog post explains, Watson analyzed the trailers of over 100 horror and thriller film trailers to understand what sounds, scenes, and emotions to incorporate. The system looked at musical scores, the emotions in certain scenes (indicated by people's faces, color grading, and the objects shown), and the traditional order and composition of scenes in movie trailers.

The world's first self-driving taxis are beginning to pick up passengers in Singapore. Select members of the public are able to hail a free ride using their smartphones in taxis operated by nuTonomy, an autonomous vehicle software startup. Get updates and more Breaking News here: http://smarturl.it/APBreakingNews The Associated Press is the essential global news network, delivering fast, unbiased news from every corner of the world to all media platforms and formats. AP's commitment to independent, comprehensive journalism has deep roots.

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. Movies, especially horror movies, are incredibly subjective. Think about the scariest movie you know (for me, it's the 1976 movie, "The Omen"). I can almost guarantee that if you ask the person next to you, they'll have a different answer.

Amazon poaches eBay A.I. chief, continues ramping up machine learning operations See The Eerie Sci-Fi Movie Trailer Made By IBM's Artificial Intelligence

Machine learning classification can be categorized into single-label classification (binary and multi-class) and multi-label classification. Single label classification problems involve mapping each of the input vectors to its unique target class from a pool of target classes/labels. However, there are several classification problems in which the target classes are not mutually exclusive and the input samples belong to more than one target class. These problems cannot be classified using the single label classification thus resulting in the need for multi-label classification in which each input sample belongs to a subset of target classes. Several machine learning classifiers have been developed and is available in the literature for each of the classification types. But the major limitation of all the classifiers in the literature is that, the classifiers are limited only to the particular type of classification problem for which it has been trained.