Several years ago, when I was at university, I was involved in the theater. One day, in an exercise linked to the interpretation of a character, I asked my teacher if what I was doing was "perfect". He suggested that in the theater, the concept of'accuracy' was better than'perfection'. No actor is'perfectly' Romeo or Caligula. Instead, the image of the character emerges from the actor's interpretation of a text written perhaps a century or more ago.

Back in 2016, at the London International Festival of Science Fiction and Fantastic Film, in the 48hr Film Challenge, filmmaker Oscar Sharp and artificial intelligence (AI) researcher Ross Goodwin entered a film called Sunspring (https://www.youtube.com/watch?v LY7x2Ihqjmc). The unique thing about the film was that it had been entirely scripted by an AI. The AI was originally called Jetson, but later named itself Benjamin. The AI not only wrote the script, it even did the background score and put the acting together using face-swapping and voice-generating technologies. Benjamin was given thousands of hours of old films and green screen footage of professional actors, and allowed to put the film together.

Jurassic World, Avengers: Infinity War, the latest in the Star Wars franchise, Solo: Movie theatres, as usual, are jam-packed with sequels this summer. Hollywood is addicted to sequels for one reason: A proven concept can reduce the risk of failure in a business where hundreds of millions of dollars are at stake. But some Canadian tech entrepreneurs believe the the odds of making an original hit movie could be greatly improved -- and so could sequels -- with the help of artificial intelligence. "Hollywood is using very primitive data analytics," said Jack Zhang, of Greenlight Essentials in Kitchener, Ont. His company's software analyzes movie plots, audience profiles and box office ticket sales to predict a film's future success and help identify who will watch.

In today's world, every customer is faced with multiple choices. For example, If I'm looking for a book to read without any specific idea of what I want, there's a wide range of possibilities how my search might pan out. I might waste a lot of time browsing around on the internet and trawling through various sites hoping to strike gold. I might look for recommendations from other people. But if there was a site or app which could recommend me books based on what I have read previously, that would be a massive help. Instead of wasting time on various sites, I could just log in and voila! 10 recommended books tailored to my taste. This is what recommendation engines do and their power is being harnessed by most businesses these days. From Amazon to Netflix, Google to Goodreads, recommendation engines are one of the most widely used applications of machine learning techniques. In this article, we will cover various types of recommendation engine algorithms and fundamentals of creating them in Python. We will also see the mathematics behind the workings of these algorithms. Finally, we will create our own recommendation engine using matrix factorization.

Virtual reality (VR) is not a priority for end-users according to new data released by the IABM. Premium costs of professional VR equipment remain too high with the added challenge of producing native VR content remains unclear from a creative perspective. The slow adoption and recent price cuts on consumer VR equipment as well as the overall VR experience remaining passive are the main contributing factors to companies choosing to adopt IP solutions and invest in AI and ultra high definition (UHD) programming. The IABM released an exclusive NAB 2018 report Strategic Industry Analysis offering a comprehensive overview of the latest supply, buying, technology and financial trends of the broadcast and media industry. The data suggests as IP-adoption increases it is likely to drive more UHD investment.

Raw video: Cameras mounted inside the car catches the fatal moment. Authorites are investigating the cause of the crash. A police report released Thursday on the deadly self-driving Uber accident in March reportedly revealed that the female backup driver had been watching "The Voice" prior to the crash. The report from police in Tempe, Arizona, indicated that the crash could have been prevented had the driver, Rafaela Vasquez, not been watching the show, The Associated Press reported. Elaine Herzberg, 49, was killed in the March 18 crash - believed to be the first of its kind - after being struck by the autonomous vehicle while walking outside of the crosswalk, authorities said at the time.

Audiobooks are more emotionally engaging than TV and film – even if you don't realise it, according to a landmark new study. The new research from UCL suggests that having a book read to you causes physiological changes including an increased heart rate and heat spreading through your body. During the experiment, scientists had 103 participants of various ages listen to a range of different books, and compared their responses to how they felt when they watched the same scene in a film or TV adaptation. The study included emotional scenes from Game of Thrones and the Girl on the Train, for instance, both from the original book and their hugely popular adaptations. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

While picture editors have tweaked images for decades, modern tools like Adobe Photoshop let them alter photos to the point of complete fabrication. Think of sharks swimming in the streets of New Jersey after Hurricane Sandy, or someone flying a "where's my damn dinner?" banner over a women's march. Those images were fake, but clever manipulation can trick news outlets and social media users into thinking they're real. By the time we figure out that they're phony, bombastic pictures can go viral and it's nearly impossible to let everyone know the image they shared is a sham. Adobe, certainly aware of how complicit its software is in the creation of fake news images, is working on artificial intelligence that can spot the markers of phony photos.

Artificial intelligence steps in to save the day, letting you harness that remaining 95 percent in order to enhance conversions and drive retention.