I'd known about Warm Focus (the concept) from a series of playlists that Ewing made a few years ago, on the late and beloved streaming service Rdio. But Warm Focus (the radio show) was even better than those, because every so often Ewing would turn the music down, ask how the work was going, and remind you it was okay to take a walk. Not even Siri does that. I found this upbeat, elated song--which aurally falls somewhere between Steve Reich and I Am Robot and Proud--through Ewing's show, and he played it on his last episode. I think it's a good way to end the week or start the next one.

This is the continuation of my mini-series on sentiment analysis of movie reviews, which originally appeared on recurrentnull.wordpress.com. Last time, we had a look at how well classical bag-of-words models worked for classification of the Stanford collection of IMDB reviews. As it turned out, the "winner" was Logistic Regression, using both unigrams and bigrams for classification. The best classification accuracy obtained was .89 So, bag-of-words models may be surprisingly successful, but they are limited in what they can do.

It is no doubt that the sub-field of machine learning / artificial intelligence has increasingly gained more popularity in the past couple of years. As Big Data is the hottest trend in the tech industry at the moment, machine learning is incredibly powerful to make predictions or calculated suggestions based on large amounts of data. Some of the most common examples of machine learning are Netflix's algorithms to make movie suggestions based on movies you have watched in the past or Amazon's algorithms that recommend books based on books you have bought before. So if you want to learn more about machine learning, how do you start? For me, my first introduction is when I took an Artificial Intelligence class when I was studying abroad in Copenhagen.

Frankfurt, Germany October 17, 2016 – Aries Systems Corporation today announces the integration of Meta Bibliometric Intelligence into Editorial Manager, Aries' industry-leading manuscript and peer-review tracking system for scholarly publications. The new technology, created by Meta, applies artificial intelligence toward the identification of high-impact manuscripts at the moment of first submission, allowing editors to triage and rank incoming manuscripts. "By incorporating Meta Bibliometric Intelligence into Editorial Manager, we're the first workflow system that helps publishers explore the potential of big data analysis during peer review," said Richard Wynne, Vice President of Sales and Marketing at Aries Systems. Bibliometric Intelligence uses sophisticated machine learning algorithms that were trained using Meta's corpus of millions of full-text articles – a collection that now comprises the largest scholarly text-mining collection on Earth. As newly-submitted manuscripts are processed, hundreds of unique features are pulled from the papers and fed through the algorithms.

All that money is providing Google with more financial firepower to buy the rights to stream cable networks' shows on YouTube, too, something likely to reel in even more viewers. It also is helping to finance Alphabet's investments in far-flung projects ranging from self-driving cars to internet-beaming balloons. That segment, known as "Other Bets," lost $865 million during the July-September period, narrowing from a $980 million setback last year as Alphabet imposed more expense controls.

Imagine I show you a book review, on amazon.com, Imagine I hide the number of stars, – all you get to see is the number of stars. And now I'm asking you, that review, is it good or bad? Well, it should be easy, for humans (although depending on the input there can be lots of disagreement between humans, too.) But if you want to do it automatically, it turns out to be surprisingly difficult.

Apple unveiled a new app - called TV - at its Mac event Thursday, promising users will have all of their digital TV content in one place. The app will bring services from services like HBO, iTunes purchases and live content. Apple's new TV app will be available on iOS and Apple TV and is free. The app also works with Siri, so you can use voice commands to find your favorite shows. The app integrates the single-sign on feature, which was previously introduced earlier this year.

Apple on Thursday announced a handful of updates coming to its Apple TV set-top box. The biggest change will be the introduction of a new TV app, which essentially functions as a TV guide for your numerous streaming apps. Here's a closer look at what Apple announced during a media event: Apple's new TV app is designed to surface content from various streaming apps, like HBO Go and Hulu, and house them in one easily browsable place. The "Up Next" section, for example, will act as a hub for content you've already started watching across all of these services. If you started a movie but didn't finish it, the "Up Next" tab will let you pick up where you left off.

Eck told the festival's music-savvy attendees about his team's new ideas about how to teach computers to help musicians write music--generate harmonies, create transitions in a song, and elaborate on a recurring theme. The format has come a long way since 1990s Geocities pages and games like Doom, thanks to better computing power, digital samplers, and recent movements like "Black MIDI," in which MIDI musicians like Lee saturate a digital musical score with so many notes, typically in the thousands or millions, that little white peers through. The state of the art in training computers is deep learning, artificial learning that uses neural networks, a method of storing information that loosely approximates the information processing of the brain and nervous system. In computer vision, where deep learning has become the standard machine learning technique, scientists know how a computer learns through a neural network when the computer knows what shapes to look for in an image.

No longer the stuff of speculative fiction, artificial intelligence is on the cusp of disrupting every aspect of how we do our jobs and live our lives. Here are just three ways in which AI is having an impact on the creative industries. It's been proven over and over that the best advertising content is something which provokes an involuntary emotional reaction in the viewer. AI is already being used to edit videos which follow an emotional arc, encompassing a range of different feelings but always ending on a happy or satisfying note. There's even evidence to suggest that AIs are, in fact, better at tugging on our heartstrings than real people.