The episode talks about how AI has been around for some time, has evolved over the years, needs to make a transition from the "consumer" to the "industrial" and leaves you with an ACTION (watch to learn more:-))

Until a decade or so ago, artificial intelligence was -- for most Americans -- something that existed only in the movies. Now, Alexa and Google Home have moved into numerous households and live only to please. According to many reports, 2019 will be the year of AI. A recent McKinsey Global survey found that 47 percent of companies have implemented at least one AI capability into their business processes, more than doubling the 20 percent that reported using AI the previous year. Artificial intelligence can be the difference maker in an entrepreneur's business, providing everything from customer support to automated supervision of assembly lines.

Machine learning can be a fantastic tool for creators, but integrating AI into your workflow is a challenge for those who can't code. A new program called Runway ML aims to make this process easier by providing artists, designers, filmmakers, and others with an "app store" of machine learning applications that can be activated with a few clicks. Say you're an animator on a budget who wants to turn a video of a human actor into a 3D model. Instead of hiring expensive motion capture equipment, you could use Runway to apply a neural network called "PosetNet" to your footage, creating wireframe models of your actor that can then be exported for animation. Or say you need to remove a coffee cup that was accidentally left in a shot on your high-budget fantasy TV drama.

Last week, a video went viral on social media around the world. It shows a robotic arm picking up a bowling ball, spinning its arm around, and hurling the ball down the lane at speed, sending all the bowling pins flying. It soon emerged that the very real-looking video was in fact fake, the work of a motion graphics designer who had hash-tagged it with words such as animation, rendering and CGI to indicate that it was computer-generated, before sharing on social media. Nonetheless, from the reactions it was clear that not everyone picked up the clues; many if not most people thought it was real. The impossibility of distinguishing between fake and real in images and videos is an everyday occurrence now, something we just have to live with.

The secrets behind traditional folk music from across the globe and dating back thousands of years are likely to be revealed by using artificial intelligence, according to a leading academic expert. Speaking at Folk Music Analysis UK, a three-day event showcasing cutting edge technological research methods and findings using ethnomusicology and computational analysis at Birmingham City University, Dr. Islah Ali-MacLachlan highlighted advances in the field which now allow for greater understanding of the cultural data embedded in folk music. The senior lecturer in audio engineering and acoustics said, "In this era of streaming, music discovery, digitization and algorithms, one of the last bastions of music to be extensively and accurately mapped as well as understood is traditional folk music from across the globe. Sounds that have taken hundreds, if not thousands, of years to evolve, are full of human, cultural, religious, societal and geographical intricacies that we will benefit from understanding. The Folk Music Analysis workshop is a chance to discuss worldwide folk music traditions and the tools we use to extract information about them."

No questions, the impression, and influence of artificial intelligence technology is profound.

Episode 2 looks at why #TRUST is important in #technologyadoption, why it is normal for humans to be wary of new technology and what is being done to develop trust in #artificialintelligence: #explainableai Keep the feedback coming. If you want to delve deeper into explainable AI check out my LinkedIn article: https://lnkd.in/eF76sAa Want to get a better understanding of difference between #AI vs #machinelearning vs #deeplearning vs #datasciences: https://lnkd.in/egeinvs

Classic cartoon-inspired video game'Cuphead,' made for Xbox One, PCs and Nintendo Switch will become a TV series on Netflix. Cuphead is making the move to Netflix. The acclaimed side-scrolling video game "Cuphead," inspired by cartoon classics of the Thirties, will become an animated Netflix TV series called "The Cuphead Show," the online video provider announced Tuesday. Like the video game, the TV comedy will star Cuphead and his brother Mugman. In the game, they have made a deal with the devil and must do his bidding.

We are interested in the task of generating multi-instrumental music scores. The Transformer architecture has recently shown great promise for the task of piano score generation; here we adapt it to the multi-instrumental setting. Transformers are complex, high-dimensional language models which are capable of capturing long-term structure in sequence data, but require large amounts of data to fit. Their success on piano score generation is partially explained by the large volumes of symbolic data readily available for that domain. We leverage the recently-introduced NES-MDB dataset of four-instrument scores from an early video game sound synthesis chip (the NES), which we find to be well-suited to training with the Transformer architecture. To further improve the performance of our model, we propose a pre-training technique to leverage the information in a large collection of heterogeneous music, namely the Lakh MIDI dataset. Despite differences between the two corpora, we find that this transfer learning procedure improves both quantitative and qualitative performance for our primary task.