The e-retailer's streaming music service launched in the UK in November Family plan lets up to six accounts access the service for £14.99/$14.99 a month It now matches Apple Music and Spotify in what it can offer and for how much The e-retailer's streaming music service launched in the UK in November Family plan lets up to six accounts access the service for £14.99/$14.99 a month Amazon has expanded its music streaming service to enable the whole family to listen to tunes. Your future house on Mars: First ever Martian show home... Can the OnePlus 3T compete with the iPhone 7? Company's most... Adult FriendFinder is hacked AGAIN: Cheats' dirty secrets... Move over Spotify: Google Play Music now knows what you want... Your future house on Mars: First ever Martian show home... Can the OnePlus 3T compete with the iPhone 7? Company's most... Adult FriendFinder is hacked AGAIN: Cheats' dirty secrets... Move over Spotify: Google Play Music now knows what you want... Amazon Music Unlimited was launched in the US last month but is now available in the UK, Germany and Austria. One of the main draws is set to be the integration with Amazon's voice-controlled Echo speaker Mom battling breast cancer says TSA violated and humiliated her Man punches kangaroo in the face to save dog being strangled Shocking moment thieves with a hammer steal a motorbike in London Thief looks foolish after trying to rob store with police in Dog gets caught digging huge hole in garden but styles it out Drivers lose control and plow into each other on snowy street Watch the moment a vicious brawl breaks out between armed attackers See the eerie last moments BEFORE the Oakland warehouse fire Baby Bulgarian orphan nursed back to life by American couple Oakland warehouse manager Derick Ion Almena'tripping out' Lorry driver jumps red light before killing mother and daughter'The veil does not belong in our country': Angela Merkel'The veil does not belong in our country': Angela Merkel EXCLUSIVE: Filth, chaos, weird religious symbols, feral... That'll show her! Frustrated husband chops off his genitals... Kidnapped California supermom and her family abruptly flee... Incredible transformation of special needs boy, 8, who was... Get ready for the chill! Forecasters predict temperatures... Trump dumps the new Air Force One: President-elect announces...

It's the Law of Accelerating Returns: When tech pundits try to predict the future, they always underestimate. The scientific reasoning: The more advanced a technology is, the faster it can progress -- precisely because it's more advanced. Just take a look at not only the progress of artificial intelligence and machine learning, but its proliferation of use cases, which is moving inevitably into the marketing realm. And this is the kind of growth explosion you want to be at the forefront of. It's why here at the tail end of 2016, we've watched over 200 AI-focused companies raise nearly $1.5 billion in funding, and have seen a 6X increase in equity deals to AI startups from 70ish in 2011 to almost 400 in 2015.

That five-inch phone in your pocket, the one you absolutely can't live without, does damn near anything these days. It is the Great Usurper, rendering everything from newspapers to music players to actual human interaction all but obsolete. People embraced smartphones faster than any other gadget in the history of the world, creating a trillion-dollar industry that is expected to reach more than six billion people in the next four years. I hear this question from smartwatch manufacturers and lightbulb companies and headphone makers and so many others in tech. They're all trying to find The Next Big Thing and figure out what the world looks like when smartphones finally go away.

Fourteen years ago, with 23 million people watching, Justin Guarini came achingly close to superstardom. Guarini, with his mop of curls and a taste for flamboyant, '70s-style shirts, had given up his dream of starring on Broadway to try to become the first "American Idol" in 2002. He ended up the runner-up to Kelly Clarkson. The bright TV lights went dark and the personal assistants scattered. Guarini crashed -- and then went back to his first dream.

The CEO of DeNA Co., whose health care information website and others have been under fire following accusations of plagiarism and inaccurate reporting, apologized Wednesday over the scandal, vowing to investigate what went wrong. "We'd like to sincerely apologize to all concerned parties and individuals for causing troubles and worries," Isao Moriyasu, who is also the president of the company, said at a news conference in Tokyo. "Regardless of forms of media, providing accurate information needs to be the first priority when operating a media business," he said. "Our operation focused too much on growing the services." The Tokyo-based firm, which is best known for its mobile video games and professional baseball team, the Yokohama DeNA Baystars, said it will bring in an independent third-party panel to investigate the causes of the poorly handled media services, or so-called curated news sites.

For decades Hollywood has treated computers as magic boxes from which endless plot points could be conjured, in denial of all common sense. TV and movies depicted data centers accessible only through undersea intake valves, cryptography that can be cracked through a universal key, and e-mails whose text arrives one letter at a time, all in caps. "Hollywood hacker bullshit," as a character named Romero says in an early episode of Mr. Robot, now in its second season on the USA Network. "I've been in this game 27 years. Not once have I come across an animated singing virus."

Imagine a world where you can experience your wildest dreams, interact with artificially intelligent characters and do whatever you want without consequences. While this may be the plot of the hit HBO series "Westworld," based on Michael Crichton's book of the same name, the future of artificial intelligence (AI) we see on our screens may come sooner than we think. According to VentureBeat, Crichton's story follows wealthy guests who holiday in the "almost-real theme park of Westworld, which is full of androids who are instructed not to harm the human guests." The guests, however, can do anything they want, without consequences. When Crichton's "Westworld" was released in 1973, the ideas in it were considered science fiction, but while the use of technology in the show is at a level that's unfeasible today, it's no longer unimaginable.

As a follow-up to my previous post "Using Machine Learning to predict Customer Behaviour", I wanted to address a similar topic but from an e-commerce perspective. How to you predict the behaviour of your visitors in your online store? Let's look at how Machine Learning can help you address each of the challenges posed by those four branches. In order to keep this post short, I've decided to split it in 4 parts where I'll cover each of the 4 segments. Let's start with product analytics.

Creating aesthetically pleasing pieces of art, including music, has been a long-term goal for artificial intelligence research. Despite recent successes of long-short term memory (LSTM) recurrent neural networks (RNNs) in sequential learning, LSTM neural networks have not, by themselves, been able to generate natural-sounding music conforming to music theory. To transcend this inadequacy, we put forward a novel method for music composition that combines the LSTM with Grammars motivated by music theory. The main tenets of music theory are encoded as grammar argumented (GA) filters on the training data, such that the machine can be trained to generate music inheriting the naturalness of human-composed pieces from the original dataset while adhering to the rules of music theory. Unlike previous approaches, pitches and durations are encoded as one semantic entity, which we refer to as note-level encoding. This allows easy implementation of music theory grammars, as well as closer emulation of the thinking pattern of a musician. Although the GA rules are applied to the training data and never directly to the LSTM music generation, our machine still composes music that possess high incidences of diatonic scale notes, small pitch intervals and chords, in deference to music theory.

Researchers from University of Toronto developed an AI system that creates and then sings a Christmas song based by analyzing the visual components of an uploaded image. With the help of CUDA, Tesla K40 GPUs and cuDNN to train their deep learning models, the researchers trained their neural network on 100 hours of online music. Once trained, the program can take a musical scale and melodic profile and produce a simple 120-beats-per-minute melody -- it then adds chords and drums. The next step was to train their'Neural karaoke' program on a collection of pictures and their captions to learn how specific works can be linked to visual patterns and objects – once fed an image, the program can compile relevant lyrics and sing them. "We are used to thinking about AI for robotics and things like that. The question now is what can AI do for us?" said Raquel Urtasun, an associate professor in machine learning and computer vision at Toronto's computer science lab.