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Forget Politics. For Now, Deepfakes Are for Bullies

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While Americans celebrated a long Labor Day weekend, millions of people in China enrolled in a giant experiment in the future of fake video. An app called Zao that can swap a person's face into movie and TV clips, including from Game of Thrones, went viral on Apple's Chinese app store. The app is popular because making and sharing such clips is fun, but some Western observers' thoughts turned to something more sinister. Zao's viral moment was quickly connected with the idea that US politicians are vulnerable to deepfakes, video or audio fabricated using artificial intelligence to show a person doing or saying something they did not do or say. That threat has been promoted by US lawmakers themselves, including at a recent House Intelligence Committee hearing on deepfakes.


Kim Komando shares 9 new features in iOS 13 you'll use time and time again

FOX News

Kurt Knutsson breaks down all the complaints with the iOS 13 update. Cue the applause -- Apple released a new operating system. You'd think with all the fanfare we just found a way to travel from New York to London in 30 minutes. But Apple has perfected marketing, and this includes an annual upgrade that changes the look and use of our devices. Bugs and security issues plagued the release of iOS 13.




UAE minister draws on the past to seize the possibilities of an AI future

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As the United Arab Emirates' minister of artificial intelligence (AI), Omar Al Olama may have one of the most exciting and impactful portfolios in the …


Technology is Revolutionizing the Music Industry in Amazing Ways

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Music is the most soothing thing available today in numerous forms, very few people are blessed with good vocal ability and technology has made it possible to reach their amazing voice to us. The Indian Music Industry (IMI) is a trust that represents the recording industry distributors in India. Record companies like Saregama India Ltd. (HMV), Universal Music (India), Tips Industries Limited, Venus, Sony Music Entertainment (India), Crescendo, Virgin Records, Magnasound, Milestone, Times Music and several other prominent national and regional labels are part of the IMI.Very few people know that music is a natural therapy having the capability to improve our mental wellbeing, it is a medical remedy to many patients. It is also very effective in reducing anxiety and stress and helps regulate stress. Research has revealed that the repetitive components of rhythm and melody help our brains form patterns that enhance memory.


How Smart Protection uses machine learning to thwart online piracy

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Despite efforts to curb online piracy, some estimates suggest that pirate websites secured around 190 billion visits in 2018, affecting industries spanning TV, movies, music, publishing, and software. According to a recent report by the U.S. Chamber of Commerce, digital video piracy alone results in nearly $30 billion in lost revenue annually in the U.S. Against this backdrop, Smart Protection is working to help brands and rightsholders identify online hubs that host illegal streams, downloads, and other types of content infringement. Founded out of Madrid, Spain in 2015, Smart Protection uses machine learning and big data processing -- in concert with natural language processing (NLP), computer vision, keyword searches, and more -- to find the hubs hosting piracy and counterfeit content. By scanning the web, Smart Protection effectively builds a huge database of URLs, and it then applies its various machine learning algorithms that have been tailored to each content type and classifies the URLs based on the likelihood that they are hosting illicit content. "Typically, we eliminate approximately 98% [of the URLs], and it is from the remaining 2% that counterfeits, piracy, or brand abuse are hosted," Javier Perea, CEO and cofounder of Smart Protection, told VentureBeat.


Multi-Party Computation on Machine Learning

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I developed a technique that lets three parties obtain the results of machine learning across non-public datasets.


Interview: How DXC is leveraging Adobe's AI-Powered Adobe Experience Platform to unify data

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They're leading the way in an era of big data by using artificial intelligence (AI) and machine learning (ML) to create personalized experiences for their …


How Pandora Knows What You Want To Hear Next

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Have you ever noticed that, after 6 p.m. on weekdays, you tend to listen to harmony-laden, lo-fi, guitar-based songs with medium-to-fast-paced rhythms and a strong backbeat -- but you'll skip ones that are too distorted? As opposed to weekend mornings, when you follow up a local news podcast with slower piano tracks sung by a solo female vocalist, with strings and horns, angular melodies, multiple sections (but no solos) and a touch of melancholy throughout? Chances are, you've never thought about your listening choices in such a detailed way. But Pandora's musicologists and scientists have, and that's how -- with the help of artificial intelligence, machine learning and the analysis of the listening habits of its more than 65 million monthly users -- it knows which song you'll want to hear next. "We treat every individual very specially, and focus on contextual recommendations to understand what you like, what you listen to," says Oscar Celma, Pandora's vice president of data science, of how the company maps the DNA of every piece of audio in Pandora's millions-wide song library and compares that with explicit and implicit user preference feedback to yield bespoke programming.