The Age of Generative AI - Inventing a New Artificial Intelligence

Despite the fact that generative AI is a relatively new term among technology aficionados, one of its applications is quite known to even non-technical people. Deep Fakes are what they're called. Deepfake videos first appeared on the internet as pranks, but they have now gained traction in mainstream media, including movies. Deepfake technology is now available to everyone in the form of software applications like FakeApp, DeepFaceLab, and Zao, Wombo, and Reface, among others. Recently, a hacked Ukrainian TV channel broadcasted a deepfake video of President Volodymyr Zelensky declaring that he will lay down his guns and return to his family. Deepfake technology is another wonderful illustration of how technology can be used for both good and bad, and it has the potential to be used for malevolent purposes. Let us try to comprehend what Generative AI is, as well as its uses and limits, in this blog.

What is Generative AI, and how does it work?

Generative AI employs artificial intelligence (AI) and machine learning techniques to allow robots to create artificially fresh material. The system does this by using existing text, audio files, movies, or photographs. The ultimate result is a whole new piece of material that deceives the consumer into believing it is genuine. Computers that use generative AI discover the underlying pattern in the input and make comparable material. For this objective, many approaches such as Generative adversarial networks (GANs), Transformers (GPT-3, LaMDA, Wu-Dao), and others are applied. A few of the major actions include creating new content based on source data, distinguishing, and determining which created data is closest to the original.

Applications of Generative AI

Here are a few examples of Generative AI applications.

1. ? ? ? Converting satellite photos to map views is part of location services. This might be a significant step toward entering into previously uncharted territory.

2. ? ? ? Motion picture business - There are numerous and varied applications of generative AI in the film industry. One wouldn't have to wait hours or days to catch a frame in ideal lighting or weather circumstances; instead, they could capture at any moment and convert it to whatever settings they wanted. With Generative AI technology, it is also feasible to create pictures or films of actors at varying ages. The artist's/original actor's voice can be matched with a lip-sync utilizing face synthesis and voice cloning. This will also aid in the arching of objects for future reference following restoration.

3. ? ? ? Search Engine Services - Generative AI has the potential to revolutionize search engine services. Take, for example, text-to-image conversion. It creates realistic images of items like birds and flowers based on textual descriptions.

4. ? ? ? Airport/country border security services – For face verification or face recognition systems, Generative AI can build front-on pictures from photos collected from various angles and vice versa.

5. ? ? ? Semantic-Image-to-Photo Translation in Healthcare: This software translates semantic imagery or drawings into photo-realistic images. If X-ray or CT scan pictures can be transformed to actual images, for example, diagnosis can be significantly more precise.

Conclusion

But, like any other new technology, Generative AI is not without its drawbacks. However, it does need a large quantity of training data in order to create outputs; otherwise, the output may be poor or non-existent. However, given the length of time available, a significant amount of effort must be put into safeguarding the data in order to avoid any privacy problems. However, there will always be a nagging fear about fraudulent people using technology to make phony videos, spamming material, and false news. This is something that everyone should be aware of.

Generative AI, like other AI streams such as computer vision, conversational intelligence, content intelligence, and decision support systems, is growing with more and more applications across a variety of sectors.