Unless you've had your head buried in sand for the past 20 years, you will have been exposed to at least one, if not all, of the Terminator films. The stories of the evil Cyberdyne Systems and the rise of Skynet, along with more recent films including Transcendence, Ex Machina and Chappy, have brought ideas around artificial intelligence to life, for better or worse. But just how long is it before reality catches up with fiction? In fact, the scary part is that we might already be there. And by the end of this year, there'll be no way we can avoid it. The most obvious use of AI and similar technologies is in voice assistants such as Siri and Google Now.

Network television is at risk of getting caught in a vicious cycle. As the audience fragments in a million different directions, smaller subsets of that audience see promos for new shows. Then, as new shows draw smaller crowds, even fewer viewers see promos for other programs. The reach of television networks (the total number of viewers who watch for a minute or more once a day) is down a daunting 12 percent in one year. Yet a six percent larger audience has seen the promos for MTV's Viacom networks--even though they're using fewer spots.

Narratives are made by the artful omission of facts. Never was this maxim more evident than in a gullible feature story that landed on the front page of the New York Times last fall, about a young woman's last-ditch bid for life extension as she succumbed to the ravages of brain cancer. A sober look at the case would have revealed it to be but the latest botched mortuary procedure conducted by a gang of creepy scam artists. Instead, through the good graces of the Times, this grim tale was spun into an inspirational saga of one person's courageous quest for a second chance at life, aided by medical visionaries on the verge of miraculous technological breakthroughs. Kim Suozzi died at age twenty-three in January 2013. After her first diagnosis, twenty-one months earlier, Suozzi chose to become one of the youngest people ever[*] to undergo an expensive form of ritualistic corpse mutilation called cryonic preservation. In pop culture, cryonics is perhaps best known as the plot device that transports the schlubby pizza delivery guy in Matt Groening's animated series Futurama into the thirty-first century. The decades-old quack procedure, which involves freezing corpse parts for later resuscitation, was for a long time apocryphally associated with such wealthy eccentrics as Walt Disney. It then caused a scandal in 2002 when it was widely reported that the body of baseball great Ted Williams had gone into deep freeze against the wishes of some in his family. In recent years, cryonics has regained an entirely undue aura of respectability as the thought leaders of Silicon Valley have trained their enterprising, disruptive vision on the conquest of disease and death.[**] Suozzi, an agnostic libertarian and aspiring neuroscientist, began taking cryonics seriously after discovering the work of the futurologist Ray Kurzweil through a cognitive science class at Truman State University in Missouri. After surgery and other treatments failed to stop the growth of her brain tumor, Suozzi determined that upon death she--or rather, her head--would be frozen and stored for decades, centuries, or millennia in the hope that one day, diligent, wonder-working doctors would transplant her consciousness into a new, healthy body, or perhaps onto a high-capacity hard drive. As a tech-savvy millennial, Suozzi turned to the chat website Reddit for help in raising the 80,000 she needed to fulfill her last wish. That got her well on her way, with about 7,000 reportedly raised.

The 2016 Summer Movie Preview is a snapshot of the films opening through early September. Release dates and other details, as compiled by Kevin Crust, are subject to change. The view of Earth from space and the information it reveals about humanity's effect on the planet are examined in this large-format science documentary. Business suddenly picks up for a London kosher baker when his young Muslim apprentice accidentally drops a stash of pot into the mixer. Written by Yehudah Jez Freedman and Jonathan Benson. The kidnapping of a beloved kitty forces two naive cousins to infiltrate a street gang. Written by Peele & Alex Rubens. In 1913 Cambridge, England, a young Indian math genius joins forces with an eccentric professor. Written and directed by Matthew Brown. Written by Lily Hollander, Anya Kochoff Romano. After an auto accident, a young woman finds herself in a life at odds with the one she remembers. Written by Doc Pedrolie and Victoria Arch. The famous writer's downward spiral is witnessed by a young reporter during the revolution. With Minka Kelly, Giovanni Ribisi, Joely Richardson, Adrian Sparks. A lonely lombax and a tiny robot team with the Galactic Rangers to save their world in this animated adventure.

Video Optimization With Machine Learning is now a reality and publishers are intelligently making the most out of their O&O digital assets. The digital video industry is undergoing a transformation and machine learning is advancing the video user experience. Mobile, combined with video, is truly the definitive on-demand platform making it the fastest growing sector in digital content distribution. Video machine learning is a new field. The ability to crowd source massive human interactions on video content has created a new data-set.

First of all let me tell you what is Open CV and what are the things that we can do using OpenCV. OpenCV is a open source C library for digital image processing and computer vision, which can be used to create real time face recognisation and using it with embedded robotics and micro controllers for purpose like differentiating a specific color from an image having various colors. Solution to all this we will cover in this course. "Few years back, I started learning programming and spent couple of months just to learn the basics. Then, for again a couple of months I spent my time learning advance of Open CV. Being in the same field for almost one year, I decided to start my own project. But I keep on stuck at various steps of my project as many of concepts were not cleared. I was not able to develop a simple software from the knowledge I gained. I was depressed and thinking to leave the programming. Then one day, I decided to give it one more try. I wrote down all the parts of my programming knowledge where I had weak concepts. I started visiting forums and posting my questions to sharpen my skills and doubt clearance. And again tried to create that project with fewer difficulties. I repeated the same method again and dig a lot. Now I got success, I am a professional programmer in C and OpenCV and now working with two companies."

The premise is simple: Correspondents, editors and producers from our newsroom share the pieces that have kept them reading, using the #NPRreads hashtag. Each weekend, we highlight some of the best stories. The irony was irresistible: The same week NPR went to Greenland to look at high suicide rates, The New York Times Magazine went to Greenland's neighbor, Iceland -- but for a story on high rates of happiness and how that contentedness is partly powered by the country's vulcanic geology. Iceland came in second on a list of world's happiest countries, despite its arctic weather. It has no public plazas or pubs, but it does have public pools, heated geothermically to hot-tub temperatures.

Artificial intelligence (AI) is all around us. Unlike the Terminator robots, AI exists in subtle ways, embedded in our daily activities thanks to the rise of big data and machine learning. When Facebook tries to connect users with new friends or businesses, Netflix suggests a new TV series to watch, or Amazon recommends a book, these are all examples of AI presented to people via machine learning – a statistical method that finds patterns and makes predictions based on vast volumes of data. After years of hype, most organisations now have a solid understanding of the potential of big data. In fact, the majority of them are actively pursuing means to capitalise on all the information they capture.

One key buzzword these days is "algorithm," which technically means any computational formula but which has come to mean a formula that predicts our behavior. Amazon and Netflix have algorithms that predict what books a user is likely to want to read or what movies and TV shows he or she is likely to want to watch. Facebook has an algorithm that predicts the news a user is likely to want. Dating sites like Match.com and OkCupid use algorithms to predict with whom we would fall in love. Google, with the most famous algorithm of all, predicts what we want when we type a search term.

It's hard to find someone who isn't a fan of "Game of Thrones." The TV show, which returns Sunday, has reached peaks of popularity that few shows do, and draws in fans of all shapes and sizes -- even computers. Maluuba, a Canadian startup, posted a YouTube video on Friday showing its artificial-intelligence software reading the synopsis for the fifth season of "Game of Thrones'" and immediately knowing all of the show's plot lines. It's the equivalent to a human, let's call him "John" for this example, who knows nothing about the show, has never seen it, takes one look at a Wikipedia page and instantaneously knows everything that's happening. "Who stabbed Jon Snow?" the Maluuba engineer asks the AI software.