“11 Game-Changing AI Technologies: Discover the Latest Trends Shaping the Future”

2. New Technologies in AI: Generative Adversarial Networks (GANs)

Generative Adversarial Networks, or GANs, are the invention of Ian Goodfellow and his colleagues, introduced in 2014. Goodfellow’s idea was to pit two neural networks against each other in a competitive framework: a generator network and a discriminator network. This adversarial training process revolutionized the field of generative modeling and has become one of the most game-changing solutions among the new technologies in AI.

GANs have grown in complexity over the years. The size of GAN models has increased exponentially, with models like BigGAN boasting an impressive 12 billion parameters, enabling the generation of high-resolution images with high levels of digitalization. Moreover, GANs have significantly advanced image super-resolution. For instance, “ESRGAN,” an Enhanced Super-Resolution GAN, can upscale images with exceptional quality, making it invaluable in applications like medical imaging and enhancing visual content.

One interesting fact about the monetization of GAN is “Edmond de Belamy”, a portrait generated by GAN. It has become the first AI-generated artwork to be auctioned at Christie’s, selling for over $432,000.

If we consider the overall impact of GAN on the global economy, its value is quite substantial. The Statista report ensured that the worldwide generative AI market had a valuation of USD 10.3 billion in 2022, with projected growth to reach USD 136 billion by 2031. This growth is expected to maintain a compound annual growth rate (CAGR) of 33.2% throughout the forecast period from 2023 to 2031. Statista also mentions that the generative AI market share will likely expand rapidly in the next few years. The rising need for generative AI solutions in several sectors, such as healthcare, media, and entertainment, will drive market expansion as well as the development of new technologies in AI.

The future of GANs is forecast to have even more exciting developments. Researchers are exploring applications in 3D modeling, video generation, and beyond, with GANs continuing to redefine the boundaries of new technologies in AI.

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