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Virtual Meeting: Machine Learning in Visual Effects

#artificialintelligence

Autodesk's Will Harris, Foundry's Mathieu Mazerolle and Unity Technologies' Brian Gaffney will discuss how their companies are incorporating machine learning into software tools to make higher quality and more realistic visual effects and boost production speed. Visual Effects Supervisor Ryan Laney will describe the novel way artificial intelligence and machine learning were used to mask the identities of interview subjects in the award-winning HBO documentary Welcome to Chechnya. "Machine learning is poised to transform visual effects production, accelerating workflows and paving the way for a new generation of astonishingly real visual effects," says Barry Goch, who will moderate the discussion. "Will Harris, Mathieu Mazerolle and Brian Gaffney will demonstrate game-changing technologies. Ryan Laney will share his experience in applying machine learning to a real-world production."


Digital Innovation Meets Old Fashioned Storytelling at Unifrance TV Doc Pitch

#artificialintelligence

If the six projects presented at a recent TV documentary pitch session held at the Unifrance Rendez-Vous in Paris share relatively few thematic or stylistic points in common, when taken as a whole, the diverse titles relay two incontrovertible truths: While advances in filmmaking technology now offer industry creatives unprecedented freedoms, when it comes to hooking the audience, nothing beats a good story well told. Three of the six projects presented at the Rendez-Vous forum reflect the format's growing technological trends. To offer competing visions of the future, Mad Films/Camera Subjective's speculative science-fiction project "2080" will use CGI, motion capture and some of the digital production techniques pioneered by Disney's "The Mandalorian," whereas to open a window into the past, France Televisions/Program33's historical doc "The Joan of Arc Case" will use detailed digital recreations of 15th-century France. On a similar front, the four-episode edutainment project "Science in Archeology 3.0," directed by Alexandra Barbot and Ste phane Jacques, produced by Roche Productions, and handled internationally by Lucky You, looks to employ recent advances in digital mapping, photogrammetry, and scanning techniques to recreate digital models of the ancient world. At the pitch presentation, co-director Alexandra Barbot likened the digital recreations to "entering Ali Baba's cave," arguing that these new model could rekindle that same spark of discovery that lit up so many young imaginations.


Send in the clones: Using artificial intelligence to digitally replicate human voices

#artificialintelligence

Reporter Chloe Veltman reacts to hearing her digital voice double, "Chloney," for the first time, with Speech Morphing chief linguist Mark Seligman. Reporter Chloe Veltman reacts to hearing her digital voice double, "Chloney," for the first time, with Speech Morphing chief linguist Mark Seligman. The science behind making machines talk just like humans is very complex, because our speech patterns are so nuanced. "The voice is not easy to grasp," says Klaus Scherer, emeritus professor of the psychology of emotion at the University of Geneva. "To analyze the voice really requires quite a lot of knowledge about acoustics, vocal mechanisms and physiological aspects. So it is necessarily interdisciplinary, and quite demanding in terms of what you need to master in order to do anything of consequence."


Send in the clones: Using artificial intelligence to digitally replicate human voices

NPR Technology

Reporter Chloe Veltman reacts to hearing her digital voice double, "Chloney," for the first time, with Speech Morphing chief linguist Mark Seligman. Reporter Chloe Veltman reacts to hearing her digital voice double, "Chloney," for the first time, with Speech Morphing chief linguist Mark Seligman. The science behind making machines talk just like humans is very complex, because our speech patterns are so nuanced. "The voice is not easy to grasp," says Klaus Scherer, emeritus professor of the psychology of emotion at the University of Geneva. "To analyze the voice really requires quite a lot of knowledge about acoustics, vocal mechanisms and physiological aspects. So it is necessarily interdisciplinary, and quite demanding in terms of what you need to master in order to do anything of consequence."


How Data Science, AI, and Machine Learning Work Together

#artificialintelligence

Do Androids Dream of Electric Sheep? Author Philip K. Dick posed this question as the title of his 1968 novel that was the basis for the film Blade Runner. The underlying themes of this story include the ethics and philosophy of sentient AI in androids. Two years after the story's "futuristic setting" of 2019, humans are exploring much more specific AI use cases that are nothing like those spun out in the science fiction story. Instead of having to distinguish android "replicants" from real humans, many people are struggling to disambiguate terms such as Data Science, Artificial Intelligence (AI), and Machine Learning (ML). These terms have all become buzzwords commonly found in the business and tech world.


Hands-on Content Based Recommender System using Python

#artificialintelligence

One of the most surprising and fascinating applications of Artificial Intelligence is for sure recommender systems. In a nutshell, a recommender system is a tool that suggests you the next content given what you have already seen and liked. Companies like Spotify, Netflix or Youtube use recommender systems to suggest you the next video or song to watch given what you have already seen or listened to. The idea of build recommender system has surely not been developed yesterday. In 2006 Netflix announced a 1 million dollar reward to the research team able to build the best recommender system possible given some test data.


Introducing Tomorrow's Vision Today

#artificialintelligence

On January 21st 2022, we will be launching a new podcast series covering the latest advances in emerging technology. We live in very dynamic times and technology is evolving faster than ever. These changes affect our businesses and our very livelihoods. History has shown that those who adapt quickly to new advances in technology can make great leaps forward in market penetration and create new competitive advantages. Conversely, those that wait are forced to adapt to the new paradigms created by their competitors.


14 of the best movies streaming on Paramount

Mashable

If you've already blown through your Netflix and Hulu libraries, maybe it's time to give Paramount a spin. Since Paramount has been making movies since 1916, its catalog of films is deep. Imagine John Wayne Westerns on the same streamer as Sonic the Hedgehog! It's madness, and we love it. Below, 14 of our favorite movies from Paramount's library to watch now on Paramount .


Easy Filmmaking: Artificial Intelligence in Films & Videos

#artificialintelligence

This course is designed to teach you the ins and outs of easy film and video making by showing you the art and craft of making films and videos by showing you ... Want to make films and videos that really catch attention and praise? This online Easy Filmmaking Course will teach you how to make great films and videos using proven techniques and approaches. This course is designed to teach you the ins and outs of easy film and video making by showing you the art and craft of making films and videos by showing you how to plan, design and put them together. While there are plenty of courses about making films and videos, it's hard to find a course that gives you a step-by-step insight into making films easily that really punch through the noise. This is the course for you, taught by a professional filmmaker who has personally make more than 40 productions.


Artificial Intelligence at Netflix - Two Current Use-Cases

#artificialintelligence

Netflix launched in 1997 as a mail-based DVD rental business. Alongside the growing US DVD market in the late 1990s and early 2000s, Netflix's business grew and the company went public in 2002. Netflix posted its first profit a year later. By 2007, Netflix introduced its streaming service, and by 2013, the company began producing original content. Today, Netflix is one of the world's largest entertainment services with over 200 million paid memberships spanning 190 countries, according to the company's 2020 Annual Report.