Investigating the Prospects of Generative Artificial Intelligence

Abstract

In this exploratory work, we investigate cutting-edge techniques in machine learning known as Generative Artificial Intelligence (GenAI). The costs of trial and error during product development can be significantly reduced if faster, more affordable, and more accurate multi-scale materials simulations powered by fully generative artificial intelligence are available. Engineers have spent decades attempting to develop humanoid robots that are both practical and resemble people in appearance and behavior. Because it enables us to circumvent the inherent dimensionality of this obstacle, generative artificial intelligence has the potential to be a beneficial instrument for the current creation process. Moreover, the research underlines that generative artificial intelligence, capable of producing media such as text, images, and audio in response to prompts, appears to improve daily. In addition, numerous technological companies are currently building and releasing their competing systems.