Kyle Richards told Fox News Digital about her new movie with Jamie Lee Curtis, "Halloween Kills," and her "The Real Housewives of Beverly Hills" drama. John Carpenter says he had no qualms about dropping out of the University of Southern California's School of Cinema to pursue his film career. "I knew what I was doing," the director of horror classics like 1978's "Halloween" and 1982's "The Thing" told The Associated Press earlier this month. "I just wanted to get out of there, get on with my career." He began working on his first full-length film "Dark Star," which was released in 1974, while he was still at film school before moving on to "Halloween," "The Fog" and "Escape from New York."

Technology is powerful, it can make you believe in something that doesn't even exist! If you thought technology is all about the positives, then welcome to the dark realities it has to offer. Technology can be dangerous, digital representations, manipulated videos pave way to fabricated settings that insanely appear real, supported by sophisticated artificial intelligence, to serve a frightening negative purpose. Deepfake, a technology pioneered in 2014 by Ian Goodfellow is based on generative adversarial networks (GANs) a class of machine learning frameworks designed by Ian Goodfellow and his colleagues. If we break Deepfake, into deep and fake, it simply means a model that uses deep learning technology (a branch of machine learning) applying neural net simulation to massive data sets to create fake audio, video, image against the real ones used as model input.

Could you spot a fake video created by artificial intelligence? In the video above, I share some telltale signs that a video has been altered with deepfake technology. A "deepfake" is any piece of digital content that's been manipulated with artificial intelligence. The most common example is videos and GIFs, but the technology can be used to create false audio or images too. It's still early days for this technology, so it can be pretty obvious when a video has been doctored.

With so many commercialized algorithms on the market, many health systems have an important decision to make: Should they buy an artificial intelligence (AI) model or build their own? If a health system elects to build its own model, it has to invest time and manpower into it. But the benefits could be tremendous. The case for building a customized AI model is simple: Instead of the algorithm learning on national data, it is learning on the health system's data, said Pamela Peele, Ph.D., chief analytics officer at UPMC insurance division and UPMC enterprises. She spoke during a World Health Care Congress keynote called "More than Buzz: Realize the Potential of AI and Machine Learning."

The success of Jordan Peele's 2017 film, "Get Out," bought him time, he said, in a recent interview with Le Monde--for his new film, "Us," he had twice as many shoot days. The expanded time frame allowed him to produce a work of expanded ambition: "Us" bounces back and forth between 1986 and the present day, and its action, compared to "Get Out," has a vast range--geographical, dramatic, and intellectual. The movie's imaginative spectrum is enormous, four-dimensionally so: it delves deep into a literal underground world that lends the hallucinatory concept of the "sunken place" from "Get Out" a physical embodiment. And it captures the transformative, radical power of a political conscience, of an idea long held in secret, as it ripens and develops over decades' worth of time. "Us" is nothing short of a colossal achievement.

The ability to digitally insert actors into films has been available since the mid-1990s, when it was first used to finish The Crow after the tragic on-set death of lead actor Brandon Lee. Techniques to do this in a very realistic and natural-looking way have been available for years now, so why is there such a panic brewing over deepfakes? Before deepfakes, this sort of thing required expensive CGI software and highly specialized knowledge that is limited to a relative handful of digital effects studios. Deepfakes employ artificial intelligence and allow anyone with a decent computer to make their own realistic fake videos starring just about anyone in the world, working only from a set of images or videos of their target. Deepfakes are a relatively new phenomenon, first starting to emerge on the internet in late 2017.

This past April a new video of Barack Obama surfaced on the Internet. Against a backdrop that included both the American and presidential flags, it looked like many of his previous speeches. Wearing a crisp white shirt and dark suit, Obama faced the camera and punctuated his words with outstretched hands: "President Trump is a total and complete dipshit." Without cracking a smile, he continued. "Now, you see, I would never say these things. The view shifted to a split screen, revealing the actor Jordan Peele. Obama hadn't said anything--it was a real recording of an Obama address blended with Peele's impersonation. Side by side, the message continued as Peele, like a digital ventriloquist, put more words in the former president's mouth. In this era of fake news, the video was a public service announcement produced by BuzzFeed News, showcasing an application of new artificial-intelligence (AI) technology that could do for audio and video what Photoshop has done for digital images: ...

A creepy AI transfers the facial expressions of one person to another to create eerily realistic'deep fake' videos. The software accurately flips a segment of one video - such as the mouth of a character - to the style of another to create life-like fake clips. A video produced by the team transferred the mouth movements of British comedian John Oliver onto the face of US talk-show host Stephen Colbert. Researchers warned the technology could be used to create fake news clips that falsely put words into the mouths of politicians or other powerful figures. An AI transfers the facial expressions of one person to another to create eerily realistic'deep fake' videos.

The issue was thrust into the national spotlight last month when Buzzfeed partnered with the filmmaker Jordan Peele to create a video of former President Barack Obama appearing to deliver a public service announcement about the potential impact of manipulated media. Instead it was Peele's impersonation of Obama, synced well enough with the former president's lips to keep viewers open to the possibility it could be authentic until the message itself became a clear parody. A casual observer could be forgiven at first for mistaking the video for a genuine presidential message, especially if watching on a mobile device. A closer look is less impressive, but it may not be long before the signs of tampering become nearly impossible to pick up with the untrained eye. Hany Farid, a digital forensics expert at Dartmouth College, said there has been a "startling improvement" over the past year in technology creating "deep fakes," the artificial intelligence that allows users to swap people's faces with relative ease.

"We're entering an era in which our enemies can make it look like anyone is saying anything at any point in time -- even if they would never say those things," says "Obama," his lips moving in perfect sync with his words as they become increasingly bizarre. "So, for instance, they could have me say things like, I don't know, [Black Panther's] Killmonger was right! Or Ben Carson is in the sunken place! Or, how'bout this: Simply, President Trump is a total and complete dipshit." As the video soon reveals, the man speaking is not the former commander-in-chief, but rather Oscar-winning filmmaker Jordan Peele with a warning for viewers about trusting material they encounter online.