Apple Music is coming to Amazon's Echo smart speakers with Alexa – finally! Amazon and Apple will make the streaming service available to current Apple Music subscribers or potential customers starting the week of Dec. 17. As a subscriber to Apple Music, you always had workarounds for streaming Apple's service through an Echo, notably by pairing your phone or tablet via Bluetooth to the speaker. What you couldn't do, though, was ask Alexa to play the specific music you were in the mood to hear, and you were pretty much limited to volume and play controls. More: Spotify vs. Apple Music vs. YouTube Music: Which is best for your hard-earned cash?

Apple Music is coming to the Echo--but which speaker is best? If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. Apple and Amazon made a surprise move Friday, revealing to USA Today that Apple Music will finally support Alexa-enabled devices (like Amazon Echo speakers) in mid-December. Echo speakers are significantly cheaper than Apple's massive HomePod--especially due to Amazon's ongoing Cyber Week deals--meaning there's now a simple, affordable way to get Alexa and Apple Music in every room in your house.

The explosive growth in fake news and its erosion to democracy, justice, and public trust has increased the demand for fake news analysis, detection and intervention. This survey comprehensively and systematically reviews fake news research. The survey identifies and specifies fundamental theories across various disciplines, e.g., psychology and social science, to facilitate and enhance the interdisciplinary research of fake news. Current fake news research is reviewed, summarized and evaluated. These studies focus on fake news from four perspective: (1) the false knowledge it carries, (2) its writing style, (3) its propagation patterns, and (4) the credibility of its creators and spreaders. We characterize each perspective with various analyzable and utilizable information provided by news and its spreaders, various strategies and frameworks that are adaptable, and techniques that are applicable. By reviewing the characteristics of fake news and open issues in fake news studies, we highlight some potential research tasks at the end of this survey.

A heartless tin man, a pair of dazzling red shoes and the yellow brick road all helped the 1939 musical masterpiece The Wizard of Oz, starring Judy Garland, the most influential movie of all time. Famous for the munchkins, its early use of colour, and timeless songs such as Over The Rainbow, the movie came top out of almost 47,000 films. It took the crown and cult classics Star Wars and Psycho came in second and third, respectively. Researchers at the University of Turin in Italy calculated an'influence score' for films listed in the internet movie database (IMDb). Each movie was placed in order according to how often it was referenced by a later film. The results showed that the top 20 most influential films were all produced before 1980, mostly in the US.

IIT Delhi and IBM on November 29 joined hands to partake in a multi-year research collaboration on Artificial Intelligence (AI) in India. IBM researchers will collaborate with students and professors from the Department of Computer Science and Engineering at IIT-D to inculcate in AI systems some key traits like reasoning, comprehension and inferencing. These may benefit sectors such as healthcare and medicine, finance, and customer support which deal with a complex set of questions and require reasoning, the tech giant said in a statement. "While working with AI systems, organizations require explicit reasoning and comprehension to reach a particular conclusion. We believe advancement in AI can tackle such problems," said Michael Karasick, Vice President, Global Labs, IBM Research. As part of the partnership, the varsity will join IBM's "AI Horizons Network" -- an international consortium of leading universities working with the software major to develop technologies needed to help fulfill the promise of AI.

Separating mixed distributions is a long standing challenge for machine learning and signal processing. Applications include: single-channel multi-speaker separation (cocktail party problem), singing voice separation and separating reflections from images. Most current methods either rely on making strong assumptions on the source distributions (e.g. sparsity, low rank, repetitiveness) or rely on having training samples of each source in the mixture. In this work, we tackle the scenario of extracting an unobserved distribution additively mixed with a signal from an observed (arbitrary) distribution. We introduce a new method: Neural Egg Separation - an iterative method that learns to separate the known distribution from progressively finer estimates of the unknown distribution. In some settings, Neural Egg Separation is initialization sensitive, we therefore introduce GLO Masking which ensures a good initialization. Extensive experiments show that our method outperforms current methods that use the same level of supervision and often achieves similar performance to full supervision.

Showbox, an app that offers a free way to watch the latest films and TV shows, appears to have broken. And some have suggested that the mysterious app could have shut down entirely, never to return. People trying to open the mysterious – and potentially illegal-to-use – app are simply seeing a message that the app has broken and cannot be accessed. Uber has halted testing of driverless vehicles after a woman was killed by one of their cars in Tempe, Arizona. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

From birds taking flight to sweeping waterfalls - these amazing drone images showcase spectacular scenery from perspectives that have never been seen before. The beguiling images appeared on photo-sharing site Dronestagram which is dedicated to drone photography.

Artificial intelligence (AI) may not take down the human race like it does in the movies, but it is primed to change the world as we know it. The true impact of AI has yet to be felt, but it's no longer just movie magic... it's reality. There are real implications and benefits to its use, and marketing will be one of the many disciplines affected the most: 47% of companies agree that those who don't invest in AI are at risk of being pushed out by competitors, according to Forbes Insights. For Marketing, this evolving technology will open doors for automating processes and delivering more personalized experiences across platforms--including ones we haven't even dreamed of yet. Fully 60% of enterprise marketers said they plan to use AI in their content marketing this year, and 32% said marketing technologies must integrate AI into their workflow, according to a recent report from martech company BrightEdge.

We explore the potential of a popular distributional semantics vector space model, word2vec, for capturing meaningful relationships in ecological (complex polyphonic) music. More precisely, the skip-gram version of word2vec is used to model slices of music from a large corpus spanning eight musical genres. In this newly learned vector space, a metric based on cosine distance is able to distinguish between functional chord relationships, as well as harmonic associations in the music. Evidence, based on cosine distance between chord-pair vectors, suggests that an implicit circle-of-fifths exists in the vector space. In addition, a comparison between pieces in different keys reveals that key relationships are represented in word2vec space. These results suggest that the newly learned embedded vector representation does in fact capture tonal and harmonic characteristics of music, without receiving explicit information about the musical content of the constituent slices. In order to investigate whether proximity in the discovered space of embeddings is indicative of `semantically-related' slices, we explore a music generation task, by automatically replacing existing slices from a given piece of music with new slices. We propose an algorithm to find substitute slices based on spatial proximity and the pitch class distribution inferred in the chosen subspace. The results indicate that the size of the subspace used has a significant effect on whether slices belonging to the same key are selected. In sum, the proposed word2vec model is able to learn music-vector embeddings that capture meaningful tonal and harmonic relationships in music, thereby providing a useful tool for exploring musical properties and comparisons across pieces, as a potential input representation for deep learning models, and as a music generation device.