Donald Staar from VeriFlix explains how machine learning is enabling rapid authentication and verification of user-generated video clips to help combat fake news. It's not fake news that something must be done to stop the spread of false information in our media streams. Multiple efforts have been made to rectify the problem, including methods that detect doctoring in pre-existing videos. Inherently that's a hard problem to solve, as everyday hackers find new ways to edit content in nearly invisible ways. Left up to technology to identify, this creates a cat and mouse game where we're constantly on the defence, training computers to spot only known hacks until the next one is discovered.

The new AI capabilities will allow iHeartRadio to revolutionize its digital music service by creating a listening experience that mimics the polished production of live radio. The new integration brings the best of live broadcast radio to digital streaming music by delivering flawless song transitions, including precise crossfades, volume leveling and truly gapless playback to iHeartRadio's listeners. "Radio DJs and programmers have mastered the art of segueing music to create beautiful transitions from song to song, maintaining the desired energy and mood of the listening experience that more than a quarter of a billion live radio listeners have grown accustomed to hearing," said Chris Williams, Chief Product Officer for iHeartRadio. "Creating transitions that are unique to each individual song combination is not an easy task, and with the billions of potential song combinations available on our platform and new ones coming every day, it was impossible to scale this by hand. Working together with Super Hi-Fi we have made the impossible, possible, and we are excited to share this new listening experience with our listeners."

With a bottom-up approach, beginning with the end user and working up to the headend, the media industry can reduce abandonment, increase engagement, improve repeat viewership and protect brands, writes Ted Korte of Qligent. The phrase'content is king' can no longer stand on its own. With the expansion of digital media and IP-based channels, the world is becoming a smaller place as consumers now have access to content across the globe. The growing availability of these services and faster broadband access have combined with advances in smart devices to empower consumers and have shifted control of the media landscape from content providers to end users. If great content is all it takes to be successful, why are so many end users still cutting the cord?

Sure you've heard a lot about AI, big data, machine learning, IOT, blockchain, bitcoin. You may think this is a lot of hype. You are really missing out if you have not already taken the time to invest in learning about these things. You will be left behind. You see the premise is simple.

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. The Wall Street Journal recently ran a piece that detailed how companies that provide email-based services scan the inboxes of millions of Gmail users. Their service agreements make it clear that they require access to your email so that their artificial intelligence algorithms can provide you with smart features such as price comparisons, automated calendar scheduling and more. What they don't tell you is that in some cases, their employees read your emails too, because their AI just can't perform as promised and it needs humans to fill the gap where it falls short. One of the companies presented in the Wall Street Journal article uses AI to add a "smart reply" feature to your email, which can make a big difference if you're managing your account from a mobile device.

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The next time you sit down to watch a movie, the algorithm behind your streaming service might recommend a blockbuster that was written by AI, performed by robots, and animated and rendered by a deep learning algorithm. An AI algorithm may have even read the script and suggested the studio buy the rights. It's easy to think that technology like algorithms and robots will make the film industry go the way of the factory worker and the customer service rep, and argue that artistic filmmaking is in its death throes. Just like computers made it so animators didn't have to draw every frame by hand, advanced algorithms can automatically render advanced visual effects. In both cases, the animator didn't lose their job.

This paper describes how the "SP Theory of Intelligence" with the "SP Computer Model", outlined in an Appendix, may throw light on aspects of commonsense reasoning (CSR) and commonsense knowledge (CSK), as discussed in another paper by Ernest Davis and Gary Marcus (DM). In four main sections, the paper describes: 1) The main problems to be solved; 2) Other research on CSR and CSK; 3) Why the SP system may prove useful with CSR and CSK 4) How examples described by DM may be modelled in the SP system. With regard to successes in the automation of CSR described by DM, the SP system's strengths in simplification and integration may promote seamless integration across these areas, and seamless integration of those area with other aspects of intelligence. In considering challenges in the automation of CSR described by DM, the paper describes in detail, with examples of SP-multiple-alignments. how the SP system may model processes of interpretation and reasoning arising from the horse's head scene in "The Godfather" film. A solution is presented to the 'long tail' problem described by DM. The SP system has some potentially useful things to say about several of DM's objectives for research in CSR and CSK.

Muggles and fans alike would be so excited to celebrate Harry Potter's birthday, July 31st, by reading a new Harry Potter chapter that was written strictly by artificial intelligence; it isn't per the new book – Harry Potter and the cursed child, nor is it an addition to the seventh in the series. While the muggle world will go crazy today, and the Internet may likely break due to the new Harry Potter release, we thought it would be a great added birthday gift to have a new chapter that fits after the fourth book, Harry Potter and the Goblet of Fire. So here is a little info on this new artificial intelligence Harry Potter chapter, which even JK Rowling couldn't have written: 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. Don't expect this new machine created Harry Potter text to reveal untold secrets, a vision into the future, or what is planned for the wizarding world.

Artificial intelligence companies are growing at a much faster rate than expected. Technological giants in artificial intelligence predicted AI to be the technology of the future. Even they are surprised by the rapid growth of artificial intelligence. Now, artificial intelligence is touching almost every field of concern like a business, translation, advertising, photography and many more. Artificial Intelligence is the branch of computer science that deals with making intelligent machines. These machines simulate human behavior and perform tasks that would require human intelligence.