Amazon Alexa can read you the latest headlines, give you the forecast, and help you manage your smart home, but can Alexa play Spotify? Whether you recently signed up for Spotify or have been using the music streaming service for a while, you'll be happy to know that yes, it's possible to connect Spotify to Alexa. Not sure how to go about setting it all up? Then these simple instructions of how to connect Alexa to Spotify will be music to your ears. It only takes a few taps to connect Spotify with Alexa.

The 2020 Eurovision Song Contest may have been cancelled, but fans of formulaic pop can still get their fill courtesy of the VPRO AI Song Contest. The contestants and their entries were revealed on 10 April and the public have until 10 May to cast their votes. Thirteen teams have entered, with the competition open to anyone residing in a country eligible to take part in the traditional Eurovision extravaganza. The contestants have used a variety of machine learning techniques to help create their songs, with the teams relying on computer input to different degrees. All artists were keen to stress that, rather than pressing a button and letting their trained algorithms create the entire piece, their work is a result of collaboration between AI and humans.

This paper solves the fake news detection problem under a more realistic scenario on social media. Given the source short-text tweet and the corresponding sequence of retweet users without text comments, we aim at predicting whether the source tweet is fake or not, and generating explanation by highlighting the evidences on suspicious retweeters and the words they concern. We develop a novel neural network-based model, Graph-aware Co-Attention Networks (GCAN), to achieve the goal. Extensive experiments conducted on real tweet datasets exhibit that GCAN can significantly outperform state-of-the-art methods by 16% in accuracy on average. In addition, the case studies also show that GCAN can produce reasonable explanations.

If it's true that no amount of money can prevent aging, a little-known YouTuber has just hammered home that truth in style. The YouTuber, a deepfake specialist known as iFake, has caused embarrassment for Netflix after using free deepfake tech to de-age characters from "The Irishman" more convincingly than the streaming giant – despite Netflix reportedly spending millions of dollars attempting to de-age them. The YouTuber claims it took just seven days to create the new effects. Commenters on YouTube have also lavished the deepfaker with praise. One, going by the name "JRX." urged iFake to "do the whole movie and release it," and another, Fernando Maron, claiming that "De Niro [looks] like his Taxi Driver, Once Upon in America days."

The Final Cut's new album Process was recorded in two places: a cavernous music studio in Berlin, and a Brooklyn dining hall during an immersive culinary experience in which sound was among the items on the menu. "With its swarming, chirping creatures and metallic thuds, it sounds like a cross between a distorted, futuristic version of one of the more patient strains of industrial and drone music," writes a critic for the experimental music magazine Ear Wave Event. Somehow, the anonymous writer claims that the triangulation of Berlin, Brooklyn, and drone music pays homage to Italian culture . Process, if we're to trust the critic, is a messy hodgepodge of instruments, recording processes, and cultural influences. But the Final Cut's album doesn't actually exist.

UST Global, a leading digital transformation solutions company, announced that it has won the 2020 most innovative AI application award for societal impact from Microsoft. UST Global has been a picture of consistency as the company has unlocked several technical accolades in its successive years. The AI Awards 2.0 is an initiative open to all Microsoft customers and partners who foster AI-led innovations to deliver meaningful impact. In 2019, UST Global had won an award for'Empowering Employees with AI' from Microsoft for delivering an AI-powered personal assistant to each employee. The award marks industry appreciation of UST Global's AI capabilities to build products that scale new heights in innovations in Artificial Intelligence.

This article explores the challenges and opportunities presented by advances in artificial intelligence (AI) in the context of information operations. The article first examines the ways in which AI can be used to counter disinformation online. It then dives into some of the limitations of AI solutions and threats associated with AI techniques, namely user profiling, micro-targeting, and deep fakes. Finally, the paper reviews a number of solutions that could help address the spread of AI-powered disinformation and improve the online environment. The article recognises that in the fight against disinformation, there is no single fix.

We live in an age of amazing new visual art created with artificial intelligence (AI) technology. The recent wave began with neural stylization apps and the trippy, evocative DeepDream. Many fine artists now work with neural network algorithms, creating high-profile works appearing in major venues.1 Together with these new developments comes the hype: technologists who claim that their algorithms are artists and journalists who suggest that computers are creating art on their very own. This column explains why today's technologies do not create art; they are tools for artists. This is not a fringe viewpoint; it reflects mainstream understanding of both art and computer science.

Recent years, typhoon damages has become social problem owing to climate change. Especially, 9 September 2019, Typhoon Faxai passed on the south Chiba prefecture in Japan, whose damages included with electric and water provision stop and house roof break because of strong wind recorded on the maximum 45 meter per second. A large amount of tree fell down, and the neighbor electric poles also fell down at the same time. These disaster features have caused that it took eighteen days for recovery longer than past ones. Initial responses are important for faster recovery. As long as we can, aerial survey for global screening of devastated region would be required for decision support to respond where to recover ahead. This paper proposes a practical method to visualize the damaged areas focused on the typhoon disaster features using aerial photography. This method can classify eight classes which contains land covers without damages and areas with disaster, where an aerial photograph is partitioned into 4,096 grids that is 64 by 64, with each unit image of 48 meter square. Using target feature class probabilities, we can visualize disaster features map to scale the color range from blue to red or yellow. Furthermore, we can realize disaster feature mapping on each unit grid images to compute the convolutional activation map using Grad-CAM based on deep neural network layers for classification. This paper demonstrates case studies applied to aerial photographs recorded at the south Chiba prefecture in Japan after typhoon disaster.

For anyone interested in AI here is the film I was working on a year or so ago. I was hired to do the interviews. The film is directed by Leanne Pooley. The film is released by Universal and is available on various VoD and streaming services. The trailer is more sensational about AI than the film.