In the domain of algorithmic music composition, machine learning-driven systems eliminate the need for carefully hand-crafting rules for composition. In particular, the capability of recurrent neural networks to learn complex temporal patterns lends itself well to the musical domain. Promising results have been observed across a number of recent attempts at music composition using deep RNNs. These approaches generally aim at first training neural networks to reproduce subsequences drawn from existing songs. Subsequently, they are used to compose music either at the audio sample-level or at the note-level. We designed a representation that divides polyphonic music into a small number of monophonic streams. This representation greatly reduces the complexity of the problem and eliminates an exponential number of probably poor compositions. On top of our LSTM neural network that learnt musical sequences in this representation, we built an RL agent that learnt to find combinations of songs whose joint dominance produced pleasant compositions. We present \textbf{Amadeus}, an algorithmic music composition system that composes music that consists of intricate melodies, basic chords, and even occasional contrapuntal sequences.

There was a time artificial intelligence may have conjured up visions of robots and sci-fi humanoids, however it is now increasingly being used by businesses across multiple industries and the publishing world is no different. For publishers, AI has the potential to deliver more relevant and targeted content for readers and ultimately drive subscriptions and renewals. It's important to recognise that AI technology is still in its infancy, especially in the publishing industry, and therefore some brands are cautious and naturally skeptical. According to Resulticks research, 47% of all marketers still consider AI to be "overhyped". For those who are trying to move with the times, when it comes to technically implementing AI, 69% rate their vendor's performance as "poor". A further 42% of marketers either have no current plans to implement the technology, or have already aborted their efforts.

Businesses have long recognized that the best and most innovative ideas usually come from the front lines – originating from the individuals directly involved in manufacturing products, executing processes, and overseeing operations. For large organizations, however, the task of soliciting, reviewing, and considering massive volumes of ideas quickly becomes overwhelming. Specifically, how do you separate the truly creative and inspired proposals from the crowd of also-rans? And, once identified, how do you ensure that the best ideas get implemented quickly? Online idea generation platforms that allow users and managers to evaluate innovation proposals can help.

An android child struggles to control his emotions. Robots threaten to take away human jobs. These dark themes were explored by this year's Super Bowl commercials, with brands such as TurboTax, Olay and Sprint capitalizing on fears that technology is encroaching on our lives. Inc.'s Alexa, an increasingly ubiquitous digital assistant sold by one of the world's most powerful companies. Amazon had its own commercial, where it poked fun at Alexa.

Micromine is launching an underground performance software that bolsters machinery efficiency and safety as part of its Pitram solution in early 2019.

Two classic science-fiction films -- "Blade Runner" and "The Running Man" -- are both set in 2019, and although the films envisioned a few details that aren't a reality right now, many of their themes nailed current modern life in America. "I call science fiction'reality ahead of schedule,'" Syd Mead, the celebrated designer behind "Blade Runner," tells The Post. Watch these films now, and you can see many parallels between their fictional worlds and the real one we're living in this very year. Ridley Scott's 1982 film "Blade Runner" told the story of a detective (Harrison Ford) tasked with hunting rogue humanoids known as "replicants," played by Daryl Hannah and Rutger Hauer. "The Running Man," which hit theaters in 1987, concerned a police officer (Arnold Schwarzenegger) falsely imprisoned by the totalitarian state and made to perform on a top-rated game show, which forces convicts to run from heavily armed pursuers through a dystopian maze. While the events of the films are too exaggerated to be real, the two movies are set in a world affected by climate change and technological upheaval, both of which can be seen today.

Will robots eventually put writers out of a job? Are we going to see computers writing the next Great American Novel? Over the last decade or so, though, AI (artificial intelligence) has become increasingly sophisticated, and it's influencing the world of writing in a number of interesting ways. AI is all about machines learning and adapting. Instead of simply being programmed in minute detail with everything they need to know to accomplish a particular task, they're programmed with instructions that allow them to learn from their experience (just as people do).