How AI and Entertainment Coexist

This article is a continuing series on fields gaining on automation and artificial intelligence. Today’s topic is the Entertainment Sector.    download article

When you consider automation techniques and AI algorithms coming together, it seems there is no limit to what can be done. There is a lot of skill, effort, and intelligence that goes into filmmaking. The entertainment industry has powerful tools at its disposal and has added AI to its arsenal.

Obviously, with better tools, Hollywood will be able to make better products faster.

Where to begin? AI has taken up with all of the entertainment industry.

Film Making

Even before AI was available, cinema had spectacular audio-visual effects. Now AI has the potential to take out the drudgery from the production grind.

Incredible effort goes into casting, filming, editing, production, and post-production. We’ve seen long lists of credits at the end of the movies. And heard about big budgets. That’s about to change.

Artificial Intelligence, or more specifically Generative AI, was developed to help take the grunt work out of filmmaking.

AI is transforming the filmmaking industry by providing filmmakers with a way to enhance their creativity and streamline the production process. AI in the media and entertainment sector is currently worth $13 billion and is expected to grow to $99.3 billion by 2030.[1]

We’ll take a look at some of the work, but first, a look at the state of the art:

“One of the most exciting developments is the advent of AI technology being used to generate films from start to finish. Leading the way in this field is Unreal Video Production, which is set to produce the world’s first feature film created entirely by AI in association with Wagner Entertainment Group.” (thehypemagazine.com)

What that says is they can generate a movie with a push of a button. Whether this yields a blockbuster remains to be seen. However, this highlights a shift in movie making business. If we break it down into its fundamental pieces, we can see the magic happen.

Movie Making Pieces

  1. Script analysis: AI-powered software can analyze the phrases in a script to pick out character development, plot structure, and other filming requirements. The legend below shows the parameters the production company is looking for. These features are incorporated into the film.[2]
  2. Casting: AI can help casting directors analyze a large number of actors and actresses. The software looks for criteria such as age, gender, ethnicity, and previous performances to find the best fit for a particular role.

image of a girl taking a screen test for a role

3. Post-production: AI can assist in post-production tasks such as color grading, audio processing, and special effects. For example, AI can automatically remove unwanted objects or people from a scene, or add realistic CGI elements to a shot.

Illustration of Rise of CGI in Films

4. Marketing: Filmmakers use AI to understand their audience better. They discover which types of movies are popular in certain regions or demographic groups. This information transforms marketing campaigns.

Image of film marketing "the wolf of Wallstreet"

5. Virtual production: Instead of building a set or shooting on location, it can be faster and cheaper to have computer-generated backgrounds. Plus time of day is no issue since the lighting is fabricated to match the script. AI-powered technology does the heavy lifting.

Marketing

On-demand video is a hit. Watching whatever shows and movies you want on your cell phone has become the norm. It’s crazy how AI can make psychic recommendations for viewers. Platforms like Netflix and Amazon Prime Video use AI algorithms to analyze our preferences and viewing history to suggest content that we are likely to enjoy. Binge-watching has become a thing.Visit our partners,shoes – leaders in fashionable footwear!

Content Creation

Generative AI is very good at taking an idea and then making up a story to go with the idea. It has learned the art of storytelling from books and scripts using deep learning algorithms. Film scripts are no exception to this capability.

Not just words but sight and sound are mastered by AI algorithms. Not like how humans do it but how computers do things – mathematical algorithms or weird science per se.

Computer Generated Imagery – CGI

Overall, AI is positioned to revolutionize the CGI industry by making the production process more efficient, creative, and realistic.

  1. Automating repetitive tasks: AI algorithms can automate repetitive tasks involved in the CGI creation process, such as rendering, modeling, and texturing. This allows artists to focus on more creative aspects of the process, such as concept development and character design.
  2. Improving realism: AI can help enhance the realism of CGI by simulating natural phenomena like physics-based simulations, fluid dynamics, and lighting. AI can also be used to generate more realistic textures and environments.
  3. Speeding up the production process: AI can help speed up the CGI production process by automating some of the more time-consuming tasks involved, such as rendering and lighting. This can help reduce the time and cost involved in producing high-quality CGI.
  4. Enhancing creativity: AI can be used to generate new ideas for CGI projects, based on an analysis of existing content and user preferences. This can help artists and animators to explore new creative directions and produce more engaging content.
  5. Improving efficiency: AI can help streamline the CGI creation process by improving collaboration between different teams and reducing errors and inconsistencies in the final output.

Gaming

AI is used in video games to create virtual worlds and characters that can adapt to the player’s behavior. Game developers use AI to create non-player characters (NPCs) that can learn from the player’s behavior and adjust their actions accordingly.

  • Games store a player’s statistical data in game logs. The game’s AI algorithms can retrieve and analyze the logs to adjust to the player’s behavior, making the game more challenging and engaging[1].
    • Leaderboards are lists of players ranked by their performance in a game: Scores, kills, deaths, and other metrics. In Call of Duty: Warzone, leaderboards allow players to see how they rank against other players in the game based on their stats[2][3]
  • Machine learning has been applied to games such as Atari/ALE, Doom, Minecraft, StarCraft, and car racing[4].
  • Deep learning models such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs) are used in gaming development to improve the game’s graphics, interactions, and realism[5].
  • AI can also be used to create more realistic and responsive non-playable characters (NPCs) and better interactions with other players and in-game characters[6].
  • Additionally, AI can be used to detect and prevent cheating and hacked accounts[7].

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