What is Synthetic media
A new type of virtual media known as synthetic media is produced with the assistance of artificial intelligence (AI). It stands out for its high level of realism and immersion. Additionally, synthetic media is frequently indistinguishable from other forms of real-world media, making it extremely challenging for users to distinguish between the two. It is feasible to produce faces and places that don’t exist and try and make a computerized voice symbol that emulates human discourse.
How does it works
Every business and field of study uses artificial intelligence. One, however, stands out among the many forms of machine learning. Many AI applications today are made possible by deep learning, which teaches computers how to think like humans and make intelligent decisions. Synthetic media is about to undergo one of its most significant transformations yet, despite the technology’s numerous applications across a variety of sectors.
The power of deep neural networks has never been greater. Generative Adversarial Networks, or GANs, have made this possible by learning from existing images and creating brand-new ones at the same time. GAN outputs enable synthetic media that is difficult to distinguish from real media, particularly in computer vision and image processing applications, as they appear natural and indistinguishable from the original photos.
The main advantages of synthetic media include:
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- Its items are made rapidly, with insignificant human association.
- They are adaptable to any audience, anywhere in the world, and can cover a wide range of subjects.
- Synthetic media produces a wide range of content. In most cases, writing, music, drawings, paintings, voice, or images can be used as the medium.
- Media storytelling can be told in many different ways thanks to this adaptability.
- With its high adaptability, manufactured media can be executed across different stages.
Disadvantages
When anyone can create synthetic media, the misuse of the technology becomes the biggest risk. It can lead to:
- Questionable human-likeness, also known as the “uncanny valley”
- False implications of people
- Manipulation and sharing of misinformation + fake news
- Undermining trust in media
Applications
The field of synthetic media is complex, intricate, and ever-changing. It is also very versatile and can be applied to numerous domains such as optics, energy storage, transmission, communication, or even online businesses:
Virtual celebrities/influencers
Virtual celebrities are “real” people who have created a unique persona that audiences can relate to, even though it is not real. These influencers have an audience, usually numbering thousands of followers on social media platforms like Instagram and Facebook.
Synthetic Video
You may blend the words of videos and film making with synthetic videos.Deepfakes are one of the most wellliked varieties among the many forms they have taken. These are face swaps, in which one person’s face replaces another (such as in this “Avengers: Endgame” clip where Donald Trump and Joe Biden swap faces).
Synthetic Audios
More and more people are using audio tech to build their businesses, such as podcasts, social media influencers, online radio stations, and advertising campaigns.
The process of recording anything, however, requires time, money, and effort (including voice artists, studios, equipment, etc.). Thus, artificial voice technology, such as text-to-speech (TTS) and voice cloning, has become very popular. For example, Resemble.ai is a popular company that allows you to clone your voice to create digital avatars and use them in movies.
Synthetic Music
It is possible for synthetic music to make sounds that are identical to those found in tracks created by humans.AI creates ever-changing soundscapes for focus and relaxation, drives streaming services’ recommendation algorithms, makes audio mixing and mastering easier, and produces music without any legal restrictions.
Difference between synthetic media and non-synthetic media
Media produced entirely or partially by computers are referred to as synthetic media.
Any other media produced the conventional way, that is, with human input, is considered nonsynthetic media.an article from a newspaper, for instance.The fact that it was totally written by a human makes it non-synthetic media.Imagine a picture where a human face was enhanced with bunny ears using an Instagram filter.Since the image was modified by algorithms and is partially generated by AI, we can describe this as “synthetic.”
Deep Learning + Fake = Deepfake
When we talk about synthetic media, we cannot ignore the infamous (yet descriptive) term “deepfake.” It’s a portmanteau of “deep learning” and “fake” that was first coined by a user on Reddit in 2017 and then became mainstream.
Typically, the term “deepfake” carries a bad reputation.
It is most frequently used to refer to videos that artificial intelligence (Al) has altered to make it appear as though someone is doing or saying something that they have not act ually said or done. Perhaps a famous person.
Virtual merchandising
Some analysts predict that the epidemic will shorten the transition to internet shopping by five years. Again, it is unlikely that fashion will be entirely touch-free because many people still prefer to visit real malls where they can browse
and try on actual clothing. By using in-store AR and VR solutions, retailers can target this kinesthetic population. These innovations make shopping more enjoyable and immersive, which improves the whole experience.
Recent advances
Every piece of clothing, for example, is tagged with a radiofrequency identification (RFID) microchip before it leaves a centralized warehouse, which provides real-time tracking of inventory right up until it is purchased by a consumer at a retail location.4 Therefore, the data about each store’s inventory levels, and the popularity of and speed with which each SKU sells is constantly being provided to the Company’s central data processing center.
Bodify asks shoppers for photos, then uses computer vision to determine their measurements. Machine learning maps the measurements against data the company has stored. The end result for shoppers is a list of brands that fit them in the size they think they are.
Conclusion
The main message is that synthetic media is a new category of media that is becoming increasingly believable and manageable. They also integrate conventional and digital media, which allows for amazing outcomes throughout. That is how synthetic media will deliver the improved movie experience that we all yearn for. Customers are anticipated to continue embracing technological advancements throughout the coming years in the most creative and practical ways feasible. To maintain profitable operations, businesses will need to keep up with the
By:-Ms. Swarali Manolkar,Student,SNDTW’s University
Co-Author: Mrs. Nikhila Rane,Assistant Professor,Department of Textile Science And Apparel Desiging ,SNDTW’s Universitu
