With the emergence of incredibly powerful machine learning technologies, such as Deepfakes and Generative Neural Networks, it has become easier to spread false information. In this article, we will briefly introduce deepfakes and generative neural networks, as well as a few ways to spot AI-generated content and protect yourself against misinformation. I have many relatives that just aren't well-versed with technology. Some of these people believe nearly anything they read, or at least believe it enough to share it on social media. While that doesn't sound so bad, it depends on what you are sharing.

One of the main reasons I got into python programming was artificial intelligence. I was truly fascinated by the idea of giving computers the ability to learn without explicitly programming them. Through many newsletters and browsing I wanted to share some of my favourite creative applications powered by Artificial Intelligence. Almost all of the examples are interactive to play around with. Neural Style Transfer (NST) uses deep learning to manipulate digital images by transfersing the appearance or visual style from a source image to another image.

Artificial Intelligence is just like soccer: everyone has an opinion on it. As a discipline, it is reserved for a select group of technical experts.

We once believed that Macs would never get a virus, closing apps would save battery life, and private mode was really private. For the record, switching to incognito in your browser probably doesn't do what you think. Tap or click for six practical reasons to use it, from keeping your search autofill clean to shopping without spoiling the surprise. And I'm sorry to break it to you, but like a Windows PC, your Mac is certainly at risk. Tap or click for five free downloads that will keep your Mac or PC secure.

As digital animators continue to push the boundaries of technology and creativity, the technical teams that support them are turning to artificial intelligence and machine learning to deliver the tools they need. That's the case at Pixar, where the company has made new machine learning breakthroughs it hopes will both improve quality and reduce costs. Vaibhav Vavilala, technical director at Pixar Animation Studios, has been leading some of those efforts after carefully studying recent scientific literature and monitoring the work at the R&D labs of parent company Disney. Vavilala said those advances have the potential to reduce Pixar's datacenter footprint by half for some stages of production. Vavilala made his remarks during a presentation at VentureBeat's Transform 2020 conference. In recent years, Vavilala has worked on the lighting and rendering optimization team on such Pixar movies as Coco, Incredibles 2, and Toy Story 4. But a couple of years ago, he began focusing on a concept called Deep Learned Super Resolution.

A team of researchers from Microsoft and Zhajiang University have recently created an AI model capable of singing in numerous languages. As VentureBeat reported, the DeepSinger AI developed by the team was trained on data from various music websites, using algorithms that captured the timbre of the singer's voice. Generating the "voice" of an AI singer requires algorithms that are capable of predicting and controlling both the pitch and duration of audio. When people sing, the noises they produce have vastly more complex rhythms and patterns compared to simple speech. Another problem for the team to overcome was that while there is a fair amount of speaking/speech training data available, singing training data sets are fairly rare.

Disney's massive archive spans the course of nearly a century of content, which can turn any search for specific characters, scenes or on-screen objects within it into a significant undertaking. However, a team of researchers from Disney's Direct-to-Consumer & International Organization (DTCI) have built a machine learning platform to help automate the digital archival of all that content. They call it the Content Genome. The CG platform is built to populate knowledge graphs with content metadata, akin to what you see in Google results if you search for Steve Jobs (below). From there, AI applications can then leverage that data to enhance search, discovery and personalization features or as Anthony Accardo, Director of Research and Development at DTCI, told Engadget, help animators find specific shots and sequences from within Disney's archive.

Technology is developing today at a pace that's never been seen before. New advancements and breakthroughs happen far more readily than at any time in the past. One of the most talked-about areas of cutting-edge tech is that of artificial intelligence (AI). AI is driving the digital transformation of organizations in all manner of niches. So wide-ranging are the applications of AI, that you've probably already interacted with an example of the tech today.

The Matrix Reloaded, from 2003, used futuristic tech. There's more to futuristic tech in Hollywood than just what is seen in Star Trek or Star Wars, although techies do love a good transponder or tractor beam. Virtual stimulation, mind manipulation and fantastical technology are frequently highlighted in films of the previous decades. The "good" movies involved more than a tired trope of a storyline; those movies were thought provoking, and standouts, at films' release. Were filmmakers offering up what they believed to be a likely view of tech's potential or making it up whole cloth?

World's most popular audio streaming subscription service now available to 250 million more people in Europe as Spotify expands to 92 markets worldwide Spotify is available for free, offering unrivaled personalized music discovery Spotify launched its service in 13 new markets across Europe including Russia, one of the world's top 20 largest streaming markets. Already the world's most popular audio streaming subscription service, with today's expansion, Spotify now reaches a current total of 92 markets worldwide. Spotify's 13 new markets include: Albania, Belarus, Bosnia & Herzegovina, Croatia, Kazakhstan, Kosovo, Moldova, Montenegro, North Macedonia, Russia, Serbia, Slovenia, Ukraine. As the leading platform driving music discovery on more types of devices than any other service, Spotify's expansion in Europe comes as consumers in the region embrace streaming. According to the International Federation of the Phonographic Industry (IFPI), Russia is the 17th-biggest streaming market in the world and on pace to be the 10th-biggest streaming market by 2030.