It’s amazing that soon we’ll have robots as our movie producers because artificial intelligence is growing smarter to facilitate for that. What’s not clear is if AI will be fair enough to tell stories that will not raise ethical questions or spark cold wars between nations. Well, let’s not go into that – might be too much of a leap in imagination and not worthy to start worrying about now. But for real, machine intelligence is now into the movies.
Not as a character in the stories, like we watch in The Terminator, The Matrix Series, RoboCop or IRobot, but as among the filmmakers. A startup in Silicon Valley, through Stefan Avalos and his fellow movie enthusiasts have been testing a new AI-powered technique that may completely transform the way things are done in the movie industry.
Automating Stages of Movie Production
Ideally, the goal of this project is to have technology take charge of certain processes in movie production. To start with, experts want to automate the creation of digital effects in raw scripts, a task that often appears involving and time intensive with human professions.
Does this sound safe to specialists who earn from the job? Unfortunately, No. Acting as if he was doing some settings on his camera, Avalos mentioned, “this is serious, call it project unemployment and you’ll be on point because it could ultimately replace specialist who does the same work of building movie effects.”
However, ideally, the artists remain safe and there is no question about that. “But for the rest of the ‘drudgery’ it’s not a joke; folks will be rendered jobless by this invention,” said the Los Angeles-based filmmaker, Avalos.
Visual Effects and its Importance in Movie Making
Like in all fields, new ideas creep and change how things are done. Computer-generated imagery came over some two or three decades ago, and it completely redefined how movies and TV programs are made by giving editors powers to change or adjust components, with the intent of making clips more appealing.
Nonetheless, designers spend hours and hours trying to separate people and objects when editing raw camera footage. At the same time, they are tasked with the burden of developing new digital images from scratch – then merging these two components, to appear as natural as possible.
Automating that will mean less time in achieving better results as well as less human hands in the whole process. According to the company taking up this challenge, Arraiy – the founders Gray Bradski and Ethan Rublee said they are developing systems that would tackle and manage segments of movie making better, faster, and smarter — as the algorithms improve with experience.
Apart from involvement in visual-effect technology in the past, the two experts have histories with robotic start-ups – which, one was strangled by Google a few years ago.
“There is no debate that filmmakers do this job well, only that production takes a lot of time because everything so far is done by hand,” said the once Silicon Valley guru, computer vision expert, and neuroscientists – Gray Bradski.
The Viability of the Tech
Adapting a concept, researching and reporting success about it, are different stages of innovation, what really matters is its viability to make an impact in real life. Now here comes the question, does Arraiy’s new tech have the capacity to influence the movie market? The answer is yes.
Talking of funds, which often pose as the biggest hurdle in the implementation of new technologies, Arraiy raked over $10 million as financial support from various established firms, SoftBank Venture and a few more. In other words, the tech, which is one among those being developed to manipulate images autonomously – exhibits high chances of making through.
So far, the AI industry enjoys great improvement of neural networks – which act as brains to machine learning, employing algorithmic approaches to analyze vast amounts of data while accomplishing tasks autonomously. Also powered by high-tech processors, these systems correct errors or edit background noise, influence visual effects as well as manipulate images through grafting, meaning, Arraiy will be building on something that already exists somehow.
Adobe, a widely used tool by professional designers and users alike, to fashion images to their exact taste, is also exploring the concept of automation. Meaning you’ll no longer have to spend hours on buttons adjusting or editing images if their project comes through.
In other words, everything required to make AI successful in the movie industries is in place, and chances are that in the long run, machine intelligence will take over all processes in filmmaking.