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Its founders spotted that generating 3D graphics in video games—then a fast-growing market—placed highly repetitive, math-intensive demands on PC central processing units (CPUs). Although Nvidia’s first chips were used to enhance 3D gaming, the manufacturing industry is also interested in 3D simulations, and its pockets are deeper.
The Picasso service will enable enterprises to train models to generate custom images, videos, and even 3D models in the cloud. Nvidia is working with another library, Shutterstock, to train Picasso to create 3D models in response to text prompts based on licensed images in its database.
Components of GANs The structure of GANs is built on two interconnected neural networks: Generator: Responsible for creating synthetic outputs, the generator utilizes convolutional neural networks to design its architecture. 3D object generation: MIT’s work in utilizing GANs to produce realistic furniture models.
With a PhD in Planning and Innovation Studies, and a Master’s degree in Architecture, Urban Design and Urban Planning, Karuri-Sebina has a sound knowledge base for her work as Executive Manager of programs at the South African Cities Network. She works collaboratively across disciplines to build prototypes of future architectural innovations.
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