Synthetic media got here to popular attention for its ability to control perception, especially via deep fake. Nevertheless, it’s greater than just deep fakes. Synthetic media is any media generated using artificial intelligence, equivalent to videos, pictures, sounds, texts, or virtual objects.

As more business execs incorporate the complete potential of synthetic media, its use will dramatically transform various industries and applications, showcasing incredible results. The Global Synthetic Media Market size was estimated at $1,7822 million in 2021 and is anticipated to achieve $3,562,09 million by 2027, growing at a CAGR of 12.23%.

The article explores synthetic media, its various types, applications, and a few ethical considerations for creating and using synthetic media.

What’s Synthetic Media?

Synthetic media, more commonly often called AI-generated media, refers to digital media generated or manipulated using AI algorithms. It’s a cutting-edge type of virtual content generated using AI technology. Synthetic media boasts a high level of realism and immersion, often making the content indistinguishable from real-world media.

It will possibly be used for several purposes, including entertainment, promoting, journalism, and research. For instance, the snack brand Lays used deepfake technology (deep learning + fake = deepfake) to enable football fans to send customized videos featuring Messi addressing their friends by name in a straightforward and intuitive video experience.

Important Types

Firms are increasingly investing in AI-driven content creation, tapping into the immense potential of synthetic media. Experts predict that by 2025, 90% of online content may very well be generated by AI. Let’s have a have a look at the 4 fundamental forms.

1. Synthetic Text Generation

It refers back to the use of artificial intelligence, including natural language processing (NLP), to generate written content, equivalent to articles, news, stories, and social media posts.

For instance, GPT 3 (Generative Pre-Trained Transformer 3) is a language model developed by OpenAI that may generate human-like text and answer your questions.

2. Synthetic Image Generation

Synthetic imaging is a computational approach to generating 2D visual images using mathematical algorithms and data as a substitute of the normal photographic strategy of capturing light waves using cameras or optics. The advancement of AI has made it possible to supply synthetic images with unparalleled realism. These images have captured significant attention, finding applications in a big selection of fields, from creating NFT art to generating realistic stock photos.

For instance, modern movies, equivalent to Avatar, Star Wars, and Avengers, use computer-generated imagery (CGI) to create realistic worlds or add computer graphics that may be not possible to make in point of fact.

3. Synthetic Audio Generation

Synthetic audio generation is the technique of generating audio that mimics human voice or the sound of musical instruments or altering original sounds using artificial intelligence. That is achieved using different techniques, equivalent to text-to-speech (TTS) algorithms to convert text into audio or machine learning to generate recent audio resembling existing audio patterns.

Synthetic audio generation has several applications, including virtual assistants, video games, and accessibility tools for individuals with disabilities. For instance, users can use tools like Resemble.ai to clone voices of their digital avatars.

4. Synthetic Video Generation

Synthetic videos are forms of videos created artificially using computer graphics. It simulates real-world scenarios and environments and might generate recent or fictional videos. Its different applications include deepfake, digital avatars, and AI influencers.

One other form of synthetic video is face enactment, where an individual controls the facial expressions of a goal person. One other breakthrough on this technology is text-to-video generation. This has been made a part of business discourse via tools like  CogVideo – a text-to-video AI tool –  on the back of text-to-image CogView2.

3 Real-World Synthetic Media Applications

Synthetic media can revolutionize multiple industries by opening up recent possibilities and opportunities. Let’s take a more in-depth have a look at the way it’s impacting various sectors.

Entertainment Industry

The entertainment industry is where synthetic media is already making waves. This revolutionary technology is being utilized in virtual and augmented reality, in addition to film and tv production, to supply stunning visual effects and other charming content.

Gaming Industry

The gaming industry has also seen a surge within the adoption of synthetic media. From generating realistic environments to creating non-playable characters (NPCs) and improving game graphics and audio, it enhances the gaming experience.

Business

AI chatbots and virtual assistants play a big role in several industries, including e-commerce, medicine, banking, and real estate. It transforms how businesses approach customer support, sales, and communication while providing priceless data for marketing and promoting campaigns.

Education

Education is one other field that advantages from synthetic media, because it has the potential to revolutionize the delivery and reception of education by providing students with more engaging and interactive learning experiences. Also, it might probably be used to create educational content in several languages, enabling the access of educational material to a wider audience.

Also, it’s getting used to develop an AI Teacher to assist students with their work. For instance, CodeBrainer has developed one, named Cobie AI, who can explain the content, follow students, and help them.

Synthetic Media – Ethical & Social Ramifications

There are lots of real-world scenarios where ethical and social implications arise. As an illustration:

• It will possibly spread misinformation faster through deepfake audio and videos, causing harm to individuals and organizations.
• Privacy concerns can arise as synthetic media can create realistic impersonations of people without their consent.
• The adoption of synthetic media in certain industries could end in significant job losses, as machines can replace human labor in roles equivalent to customer support and content creation.
• Organizations will create recent jobs that mix human tasks with AI, resulting in the necessity for upskilling the worldwide workforce.

It’s critical to stay aware of the potential implications of this advanced technology and take steps to mitigate any negative impact it can have on society.

Synthetic Media: The Way forward for Digital Creation

Synthetic media is transforming the best way we create and eat content. It’s rapidly improving by way of realism and ease of use and delivers incredible results. With the advancements being driven in synthetic media, potential advantages might be quite a few, including enhanced accessibility and the creation of more engaging content, in addition to a personalised learning experience.

Stay updated on the most recent trends in synthetic media and artificial intelligence with Unite.ai.