Netflix is premiering a few movies this week with Gridlocked, Rebirth and Rolling Papers, plus a new Tony Robbins special and the first season of Stranger Things, as Hulu kicks off a new season of Difficult People. Look after the break to check out each day's highlights, including trailers and let us know what you think (or what we missed).

The Walt Disney Co. is kicking off the third session of its corporate accelerator this week, and revealed 9 new companies admitted to the program. A full list follows at the end of this post. The companies are developing everything from cinematic virtual reality and holographic content, to robots with human-like facial expressions. Because alumni of the Disney Accelerator have scored big partnerships with the media and entertainment juggernaut in the past, it is seen as one of the more desirable corporate accelerators out there. According to research by Future Asia Ventures, there are 131 active corporate accelerators worldwide today, with 13 new programs launching in the first half of 2016.

A chart of global internet speeds, created using R. New features in the forecast package, updated to version 7. This year's Data Journalism Awards Data Visualization of the Year was created with R. Using GitHub avatars and the Microsoft Face API to estimate gender ratios of programmers by language used. Using the Data Science Virtual Machine and Microsoft R Server to analyze data from 600 million taxi rides. R is once again the top-ranked software in the KDnuggets annual poll.

"Humans" has been renewed for Season 2. Find out what is coming to the Hawkins family and their newly acquired artificial intelligence companion or synth (synthetic human), Anita (Gemma Chan), in the upcoming season of the anticipated sci-fi series. According to AMC, the upcoming season of "Humans" will premiere in the U.K. later this year and in the U.S. by the first half of 2017. No exact premiere date has been announced as of this writing. Lead star, Gemma Chan, is expected to reprise her role as conscious synth, Anita, in Season 2. Joining her are Katherine Parkinson (Laura Hawkins), Tom Goodman-Hill (Joe Hawkins) and Lucy Carless (Mattie Hawkins). Niska (Emily Berrington), a synth, will also return and with what looks like a larger role in the upcoming season.

I trained an LSTM Recurrent Neural Network (a deep learning algorithm) on the first four Harry Potter books. I then asked it to produce a chapter based on what it learned. He looked like Madame Maxime. When she strode up the wrong staircase to visit himself. "I'm afraid I've definitely been suspended from power, no chance -- indeed?" said Snape.

This has been one of the most intriguing questions in science fiction and philosophy since the advent of machines. With modern technology, such questions are no longer bound to creative conjecture. Machine learning is all around us. From deciding which movie you might want to watch next on Netflix to predicting stock market trends, machine learning has a profound impact on how data is understood in the modern era. This tutorial aims to give you an accessible introduction on how to use machine learning techniques for your projects and data sets. In just 20 minutes, you will learn how to use Python to apply different machine learning techniques -- from decision trees to deep neural networks -- to a sample data set.

Artificial intelligence (AI) will soon transform the way we work With recent developments like the launch of Facebook's chatbot store, Apple's acquisition of Emotient, and the release of Viv, a virtual assistant from the founders of Siri, there's no doubt that artificial intelligence (AI) has started to quickly proliferate across consumer applications. Nonetheless, many of these new applications are still more novelty than necessity as their functionality is rudimentary at best, though we've come to rely on them daily – from Amazon product recommendations to Facebook facial recognition (auto tagging). Until consumer-facing AI can usher in new technological advancements that provide deeper and more human-like interaction, it still has a long way to go before it reaches its tipping point.

Is 2016 the year of AI? Big data? The answer, said CB Insights, may lie in media coverage. Whereas traditionally, many predictors relied on tracking investments in different areas or talking to specialists to uncover hot areas in tech, CB Insights' new tool called Trends now analyzes media reporting on different topics to uncover the next big thing. According to CB Insights, "When aggregated and analyzed, news media offers a powerful real-time method to discover, predict and plot the arc of rising expectations and excitement (and potential eventual disappointment) for emerging technologies." Compared to analysts, who may vary widely on predictions (on the drone market, for example, experts have cited market value from 1.27 all the way to 10 billion by 2020) media trends seem to be a more accurate way to gauge enthusiasm in an area.

Modern smartphones are essentially pocket-sized mini-computers, capable of dealing with many tasks that not very long ago would have been processed on desktop or laptop computers. The camera module is just one component of many, but more and more consumers are carefully considering camera performance in their buying decision. Manufacturers have been well aware for quite some time and are investing heavily to make sure the cameras on their devices can compete with the best. The device division of mobile communication pioneer Motorola for example, which was taken over by Chinese PC makers Lenovo in 2014, first assembled a dedicated camera and imaging team in 2013 when it was still part of Google. Since then the brand has launched a number of new devices in its Moto range with a clear focus on imaging performance and features.

When computers speak, how human should they sound? This was a question that a team of six IBM linguists, engineers and marketers faced in 2009, when they began designing a function that turned text into speech for Watson, the company's "Jeopardy!"-playing Eighteen months later, a carefully crafted voice -- sounding not quite human but also not quite like HAL 9000 from the movie "2001: A Space Odyssey" -- expressed Watson's synthetic character in a highly publicized match in which the program defeated two of the best human "Jeopardy!" The challenge of creating a computer "personality" is now one that a growing number of software designers are grappling with as computers become portable and users with busy hands and eyes increasingly use voice interaction. Machines are listening, understanding and speaking, and not just computers and smartphones.