There's so much great TV out there these days, you're probably missing what could be your new favorite show without even realizing it. So let IGN help you out, as we list nine current shows you should binge. We're skipping over the shows that are among the most obvious – We don't think you need us to tell you to watch Game of Thrones and even a recent series like Stranger Things is on almost everyone's radar at this point. Below you'll find a mixture of critical darlings, buzzed about series and a couple IGN writer favorites. We're in the era of "Peak TV," and we know you can't watch everything, but these shows are worth your time! Yes, it's a series that got off to a slow start in its first season, but trust us, you want to stick with this one.

LOS ANGELES -- There was lots of talk about virtual reality in 2016, but most of it was looking forward to trends that might come true in a few years. The real action, however, was in another form of reality, the augmented kind. AR, or augmented reality, tops our annual list of tech innovations for 2016, highlighted, of course, by the Pokémon Go app, and all those crazy filters we added to our Snapchat photos. Snapchat, the app originally beloved for sending photos that could disappear within 10 seconds, has expanded into a service some 150 million visit daily, fueled by the selfie lens, where you can add cat ears and rainbow tongues to your photos and videos. In November, it went one step further with the introduction of "World Lenses," which put smiles onto ordinary clouds in the background of your photo, or add falling rain or snow to an image.

In the climactic reveal of Interstellar, NASA pilot Joseph Cooper is sucked towards the singularity of a black hole. He falls into rows upon columns of unending prisms of bookshelves. Much book-thumping ensues and Cooper is able to communicate with his daughter across time, sending her precious data that saves the day. What's mind-bendingly fascinating about the bookshelf'place' (a Tesseract), is that it is infinite. A single event that occurs in any one bookshelf creates infinite consequences.

With the growth of user-generated content, we observe the constant rise of the number of companies, such as search engines, content aggregators, etc., that operate with tremendous amounts of web content not being the services hosting it. Thus, aiming to locate the most important content and promote it to the users, they face the need of estimating the current and predicting the future content popularity. In this paper, we approach the problem of video popularity prediction not from the side of a video hosting service, as done in all previous studies, but from the side of an operating company, which provides a popular video search service that aggregates content from different video hosting websites. We investigate video popularity prediction based on features from three primary sources available for a typical operating company: first, the content hosting provider may deliver its data via its API; second, the operating company makes use of its own search and browsing logs; third, the company crawls information about embeds of a video and links to a video page from publicly available resources on the Web. We show that video popularity prediction based on the embed and link data coupled with the internal search and browsing data significantly improves video popularity prediction based only on the data provided by the video hosting and can even adequately replace the API data in the cases when it is partly or completely unavailable.

LOS ANGELES -- There was lots of talk about virtual reality in 2016, but most of it was looking forward to trends that might come true in a few years. The real action, however, was in another form of reality, the augmented kind. AR, or augmented reality, tops our annual list of tech innovations for 2016, highlighted, of course, by the Pokémon Go app, and all those crazy filters we added to our Snapchat photos. Snapchat, the app originally beloved for sending photos that could disappear within 10 seconds, has expanded into a service some 150 million visit daily, fueled by the selfie lens, where you can add cat ears and rainbow tongues to your photos and videos. In November, it went one step further with the introduction of "World Lenses," which put smiles onto ordinary clouds in the background of your photo, or add falling rain or snow to an image.

Artificial intelligence has gone from science-fiction fantasy to imminent component of the future in the space of just a few decades, with many of the fictitious genre's predictions inching closer and closer to reality. One such foreshadowing short story was Philip K. Dick's The Minority Report, which was later made into a feature film directed by Steven Spielberg. In that tale, three mutant beings called "precogs" are able to foretell criminal behavior before it actually happens. The only problem is that they don't always agree, creating an idea about what will happen based on what the "majority report" dictates. Placing faith in their educated guesses, the mutants tell law enforcement what a person will do -- before that person knows themselves.

Last week, Warner Bros. issued a DMCA takedown notice to the video streaming website Vimeo. Warner Bros. had just made a fascinating mistake. Some of the Blade Runner footage -- which Warner has since reinstated -- wasn't actually Blade Runner footage. Or, rather, it was, but not in any form the world had ever seen. Instead, it was part of a unique machine-learned encoding project, one that had attempted to reconstruct the classic Philip K. Dick android fable from a pile of disassembled data.

What does a computer company want with a bunch of meteorologists? A few weeks ago, IBM announced it was acquiring The Weather Company, which owns Weather.com and Weather Underground, and the Wall Street Journal reported they were paying more than $2 billion for the privilege. According to The New York Times, while The Weather Company employs many atmospheric scientists and meteorologists, nearly three-quarters of its scientists work in data and computers. The Weather Company was already storing most of its data with IBM's cloud computing platform, and now Big Blue has access to all that data, which they can now sell to other companies who need to know about the weather. The ability to reliably predict the weather has always been important, but people wrongly assume that weather data is only useful to a handful of industries, like agriculture and transportation.

Radical automation of media set to change the way industry optimises digital. Zenith recently developed an automation of digital planning that delivers significant improvement in effectiveness for marketers and is set to fundamentally change the way that agencies and their clients optimise digital media. Over the past six months a taskforce of data scientists and strategists from Zenith has been developing sophisticated automation of digital planning using the network's machine-learning technology and bespoke algorithms. Marketers are currently faced with a confusing array of multi-touchpoint customer journeys, so Zenith has looked at how machine learning could be used to efficiently process large amounts of data and to automate the most complex and time-consuming aspects of digital planning. Using live Aviva campaigns, the taskforce collected advertising cookie data from the technology stack of a leading demand-side platform (DSP) and matched it with corresponding first party sales data.

Would you go on a business date at work? Would you think I was weird if I told you I did? Some apps are making this possible, so I decided to try it out. As a family man who has just entered his 40s, I am not going to be arranging romantic liaisons on my smartphone. But maybe I haven't completely missed the boat when it comes to the thrill of swiping, matching and meeting up with strangers. Shapr is an app that works like the dating app Tinder, but it's for making business connections rather than romantic ones.