After Thursday's annual shareholder meeting in downtown Los Angeles, LA Times' parent Tribune Publishing announced it would be changing its name to tronc Inc. and moving its shares from the New York Stock Exchange to the Nasdaq, effective June 20. In the release, the future consonant-heavy media organization describes itself as a "a content curation and monetization company focused on creating and distributing premium, verified content across all channels," or a news organization, in other words. It also "plans to launch www.tronc.com, "Our industry requires an innovative approach and a fundamentally different way of operating," Ferro said in the release. Earlier in the day, Tribune Chairman Michael Ferro won a big victory when he had his slate of board members confirmed.

Did you know using XGBoost algorithm is one of the popular winning recipe of data science competitions? So, what makes it more powerful than a traditional Random Forest or Neural Network? In the last few years, predictive modeling has become much faster and accurate. I remember spending long hours on feature engineering for improving model by few decimals. A lot of that difficult work, can now be done by using better algorithms.

The overall goal is to target treatment specifically to each individual so that clinical outcomes for that individual are optimized. One direction of attack is to use patient data to discover decision rules which specify the treatment to use as a function of a vector of features from the patient. Regression and classification are important statistical tools for estimating such rules based on either observational data or data from a randomized trial, and machine learning can help with this because of its ability to artfully handle high dimensional feature spaces with potentially complex interactions.

Finding, serving, and delighting customers are essential steps for any business. No matter what you're selling, you need to find people to purchase your goods, satisfy their expectations, and keep them coming back for more. The tricky part is that the value you provide changes as the customer relationship progresses. Each customer has more than one relationship with your company as they move through their journey with you. Download this guide now to learn how you can improve success throughout the customer lifecycle with machine learning.

Facebook has announced a deep-learning algorithm that can understand posts and messages with "near-human accuracy," according to the company's blog. While it's still in testing, DeepText can already analyse the textual content of several thousands posts in more than 20 different languages every second in order to understand what people mean when they post on Facebook. The company said that DeepText would improve people's experience of Facebook by delivering more of the content that they want to see while filtering out spam. But the deep-learning algorithm is even smarter than that – DeepText has the potential to integrate intelligent search functions into Facebook in real time. One example Facebook gives is two people having a Messenger conversation about meeting up.

Researchers have been attempting to make robots and artificial intelligence more creative over the past months – from drawing to writing quasi-dystopian poetry. Today we get another piece of work from a Google machine: a 90-second melody. It's the result of Google's Project Magenta, which aims to use machine learning to create music and art, and bridge the communities between those interests with coders and researchers. Magenta is built on top of its TensorFlow system, and you can find the open-sourced materials through its Github. The team says the challenge is not to just get Google machines to create art, but to be able to tell stories from it. After all, that's what artists do with their crafts: to compose a narrative into their work then share them with the world.

What do you envision being the next major breakthrough for PC form factor? We're working on lots of things that are mind-blowing. To me, we have to figure out how to get to J.A.R.V.I.S. [Iron Man's trusty AI, not Intel's vaporware earpiece]. The ability to manipulate things wherever you are, look at things wherever you are, talk to things in a more natural way. And it will be in so many domains, it won't just be PCs. It'll be phones, tablets and also new types of things we haven't conceived of yet. I'm a fan and believer in the notion of ambient computing... Today you have "destination computing," where you go and sit down with something like an all-in-one.

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Spotify is a household name, with more paying users than any other music-streaming service in the world. But it doesn't make a penny. Those 30 million paid subscribers help it rake in almost half the revenues in the global industry. But most of the money goes to record labels and artists, while the privately owned Swedish company faces growing competition from Apple with its deep pockets and massive iPhone user base. To reduce its dependence on labels and stand apart from rivals, Spotify is broadening beyond its music library.

Artificial intelligence developed by a group of Australian research teams has replicated a complex experiment which won the Nobel Prize for Physics in 2001. The intelligent machine learned how to run a Bose-Einstein condensation – isolating an extremely cold gas inside a beam of laser light – in under an hour, something the team "didn't expect". Results have been published in the Scientific Reports journal. The algorithm has also been uploaded to GitHub for other researchers working on "quantum experiments". "A simple computer program would have taken longer than the age of the universe to run through all the combinations and work this out," said Paul Wigley, co-lead researcher of the study and professor at the School of Physics and Engineering at the Australian National University.