ContentWise, the personalization, discovery, analytics and metadata expert, today announced that Cablevisión Argentina (CVA) has successfully deployed the ContentWise personalization system in Cablevisión Flow, its new suite of multiscreen television services as part of its drive to provide new, next-generation services to its customers. ContentWise has been selected as part of a new, best-of-breed video platform, which includes the Minerva 10 multiscreen TV platform by Minerva Networks. The Contentwise Personalization system anticipates user s actions and facilitates discovery by sorting content based on user s taste as well as showing trending titles popular with other subscribers with similar viewing habits. ContentWise next-generation solution enables CVA to utilize: Personalized content discovery with context-aware algorithmic and social content recommendations; Automatic micro-genres, dynamically adapted to CVA Spanish offering; Assisted content curation tools, including business rules providing total control to editorial and marketing teams. ContentWise is the TV personalization software that gives broadcast, Pay TV and OTT operators total control over the curation and automation of the Personalized TV experience, providing a UX engine API that controls each user interface element across screens and apps.

Brash Games is no more. The video game news site that claimed to be a source for unbiased game reviews has folded its website and its domain is now for sale. Just less than 24 hours ago, Brash Games was still putting up reviews for "Star Wars: Galactic Battlegrounds Saga" and "Flinthook" on its website, but now when gamers try to access the site they end up loading a page that says the domain name for Brash Games (brashgames.co.uk) is up for grabs. The domain listing, which is courtesy of GetDotted.com, The shutdown comes after the website came under fire when its shady business and unethical practices got exposed.

I will use {ordinal} clm() (and other cool R packages such as {text2vec} as well) here to develop a hybrid content-based, collaborative filtering, and (obivously) model-based approach to solve the recommendation problem on the MovieLens 100K dataset in R. All R code used in this project can be obtained from the respective GitHub repository; the chunks of code present in the body of the post illustrate the essential steps only. The MovieLens 100K dataset can be obtained from the GroupLens research laboratory of the Department of Computer Science and Engineering at the University of Minnesota. The first part of the study introduces the new approach and refers to the feature engineering steps that are performed by the OrdinalRecommenders_1.R script (found on GitHub). The second part, to be published soon, relies on the R code in OrdinalRecommenders_3.R and presents the model training, cross-validation, and analyses steps. The OrdinalRecommenders_2.R script encompasses some tireless for-looping in R (a bad habbit indeed) across the dataset only in order to place the information from the dataset in the format needed for the modeling phase.

In this photo taken Saturday, April 15, 2017, Salome Sigurjonsdottir, 10, tests a voice-controlled television in an electronics store in Reykjavik. Sales assistant Einar Dadi said none of his TVs understood Icelandic. The revered Icelandic language, seen by many as a source of identity and pride, is being undermined by the widespread use of English both for mass tourism and in the voice-controlled artificial intelligence devices coming into vogue.

The pressure was on for Abdul Gouda and his classmates at George Mason University: Not only did their graduation depend on the success of their project, but so did the hopes of an impossibly cute 10-year-old girl. Fifth-grader Isabella Nicola wanted to play the violin, but she was born with no left hand and a severely abbreviated forearm. Her music teacher at Island Creek Elementary in Fairfax County had built her a prosthetic allowing her to move the bow with her left arm and finger the strings with her right -- the opposite of how violin is usually taught. But the prosthetic was heavy and he thought there might be a better option. He reached out to Mason, his alma mater.

Have you ever wondered if life is not exactly what it's cracked up to be? OK, let's take that thought a little further. Have you ever suffered from an identity crisis? One in which you suspected that you're not a real person, but instead an extremely sophisticated computer simulation of a real person produced by an immensely more developed civilisation than that which we take to be our own? It's just possible that I lost you on that last point, but stay with me, because the reality we take for granted is coming under increasing technological and theoretical threat. Earlier this month in an office block in Euston, I put on a virtual reality (VR) headset and began playing a prototype of a game developed by a company called Dream Reality Interactive.

Margaret Atwood on why'The Handmaid's Tale' is more relevant now than ever When "The Handmaid's Tale" was published in 1985, reproductive rights were under siege and acid rain was corroding the forests and rivers. The Canadian writer Margaret Atwood reasoned that if you took all this to its logical end, you could wind up with a theocracy, not a democracy, and a population rendered sterile by its own poisons. So her novel of speculative fiction imagined a hyper-religious nation where young women who were still fertile were rounded up and confined to the human equivalent of puppy mills, forced to bear the children of powerful men. Well, here we are in 2017, and women's rights to control their own bodies are at risk again, the environment is threatened again -- and "The Handmaid's Tale" is more popular than ever. It became a feature film in 1990, and this April 26, Hulu launches "The Handmaid's Tale" as a 10-episode series. Why is this book, like George Orwell's "1984," finding a new and large and attentive following?

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.

Artificial intelligence algorithms can now replace social media marketing agencies, paint a "new Rembrandt", project the image of a perfect mother, compose commercially viable music and even direct ads, trailers and short films. Just how worried should creatives be? According to Matt Webb, global chief technology officer at Mirum, an AI algorithm is theoretically capable of mining data from a brand and a brief and combining it with information gathered to solve problems. In that sense, AI could conceivably answer a creative brief, he concludes. The reasoning and processes used to teach AI to compose music turn out to be remarkably similar.