Generative AI: What Is It and How Is It Used?

Generative AI uses machine learning algorithms to create new content from existing content such as audio, video, text, image files, or even code.

In other terms, Generative AI enables computers to extract patterns from current data and then generate brand new content – hence, the word “generative.”

What makes Generative AI Powerful?

Generative AI is strictly self-learning, and learning from various datasets leads to the creation of high-quality outputs. A high level of self-learning can lower risks and train machine learning models to be significantly less biased. This ultimately enables computers and machines to understand more abstract concepts.

The most popular model that allows Generative AI to work is General Adversarial Networks or GANs.

General Adversarial Networks (GANs)

According to Techopedia, a generative adversarial network (GAN) is a type of construct in neural network technology that offers a lot of potential in the world of artificial intelligence. A generative adversarial network is composed of two neural networks: a generative network and a discriminative network. These work together to provide a high-level simulation of conceptual tasks.

Popular Uses of Generative AI

Image to image conversion is one of the many popular uses. Types of image to image conversion could be transforming an old black and white photograph into a colored image. Instagram users are probably familiar with changing day photos to look like they took place at night. This is another example of Generative AI. Then, you, of course, have the famous face aging phenomenon that took the world by storm and showed users how they would look in 50 years.

Although there is a variety of fun uses to talk about with Generative AI, there are also many business and life-changing examples.

Generative AI has dramatically impacted healthcare, enabling doctors to identify potential threats in x-ray images by accessing GAN computed angles of a medical scan. These computed angles have given doctors the chance to visualize the possible expansion of a problem and quickly treat patients before getting out of control.

3D digital twins are also a form of Generative AI, as the twin is created from existing digital models and data. Digital twins have served highly useful to Mindbreeze customers in maintenance and retail, giving them the tools to make model-driven decisions. Predictive maintenance, improving efficiency on the shop floor, or design customization to name a few.

Want to dive deeper into Mindbreeze InSpire and Generative AI? Contact us today.