We're really excited about this library because finding image duplication is a very important task in computer vision and machine learning. For example, severe duplicates can create extreme biases in your evaluation of your ML model (check out the CIFAR-10 problem). Please try out our library, it on Github and spread the word! We'd love to get feedback.

Not zeros and ones or binary code--though that's a language, too--but a visual vernacular that helps humans make the connection that, yes, a computer was here and it made its mark. It comes in all forms: the perfect crispness of an illustration drawn on a Wacom pad; the trippy swirls of a Google Deep Dream image; the fuzzy imperfection of an AI-generated font. "We call it the computer accent," said Claire Evans, lead singer of synth pop band YACHT. For their recently released album, Chain Tripping, Evans, her bandmates, and a cast of creative AI experts explored how this so-called computer accent can be used to artistic ends. Sure, this is nothing new--you can't really get more "computer accent" than Kraftwerk (Computer Love was released way back in 1981, to name the most obvious example.)

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.

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.

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 …

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.

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.

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