Deepfake Technology a tale of beauty and a beast.

Deepfake Technology a tale of beauty and a beast.
Many times, we have wished for a technology that could simplify the long and boring processes we encounter in our daily routine. 

The worry of queuing up at the gas station to get fuel, the hurdle of standing up from the bed to flip the light switch, the thought of using voice activation to play our favorite song while working out, and an endless list of wishes that curb processes have either been met by an electric car invention, voice recognition for IoT [Internet of Things], or an AI [Artificial Intelligence] that has been programmed to act like a human. 

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These are laudable inventions that have seen technological advancements and a leap in AI. 

One of these groundbreaking leaps is the birth of Deepfake technology, which signifies another chevron to science, but could also be a menace to mankind. 

In this post, you will learn about Deepfake technology, its meaning, its purpose, and how it could be a thing of worry to the global populace. 

What Is Deepfake Technology? 

Deepfake is a fusion of two words: Deep and Fake, which gives an idea of its meaning. 

However, beyond what it appears, the word "deep" is from an AI technology known as Deep Learning. Deepfake is simply identified as synthetic media which simply replaces the image or video of an individual with another. 

Deepfake technology uses techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content that may not be real. 

The main machine learning methods used to create deep fakes are based on deep learning, which requires a dedicated knowledge of generative neural network architectures, such as autoencoders or generative adversarial networks (GANs). 

How does Deepfake technology work? 

Deepfake technology is an interesting but rigorous machine learning and AI research topic. It is seen that machine learning algorithms can be used to create deep fake software utilizing a variety of methods. 

These are algorithms that can produce content based on the data input. This means that a program must first be trained before it can be used to generate a new face or replace a specific area of a person's face. 

A massive amount of data is provided to the algorithm, which it utilizes to learn how to generate its own original data using autoencoders and a GAN. 

How Deepfake benefits society. 

  1.  It is another advancement in technology and a clear sign that there is almost no limit to science and its discoveries. 
  2. Deepfake technology can serve as identity protection during awkward interview sessions using avatars instead. 
  3. In the show business, it can be easily said to ease casting where actors may not necessarily come on set. 
  4. Post production and ADR [Additional Dialogue Replacement] can be done without a physical appearance. 
  5. Artifacts can be preserved. 
Content localization is the having of audio content in a variety of languages through the help of voice synthesis. 

How Deepfake can harm society. 

  1. The major cause of worry for all is the possibility of fraud. With the Deepfake technology in the wrong hands, people could perpetrate fraud by imitating people and asking the victims for personal information to benefit the scammers. 
  2. Fake news can easily be generated, and one may be unsure of the genuineness of information even when it clearly shows the person’s face. 
  3. Trust is shredded with the Deepfake technology because it may look the part and still not be it. 

Can one tell the difference between a deep fake and an original? 

Yes, you can test to confirm if the video or image you see is a Deepfake or an original. 

There are technological inventions that recognize deepfakes that are built on artificial intelligence using algorithms similar to those used to create the deepfakes themselves. 

These inventions identify the flaws in photos and videos. 

Some of the things to help identify deep fakes are: 
  1. The image or video tends to shake. 
  2.  Poor synchronization of speech, especially lip movement. 
  3. The face of the person is blurred compared to the background. 
  4. Lighting problems can persist in some visuals. 

In conclusion, 

The world could be harmed or made better by deep-fake technology, but it also has the potential to be a curse if it falls into the wrong hands. 

Once we become familiar with it, there are many opportunities it can provide to various economic sectors. Like with all past inventions, there will eventually be some control. 

The Watchtower, a web design agency in Dubai, is a leading name in the business of web design and development in Dubai. 
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