Abstract: Methods and systems for obtaining data having a first format, converting the data to a second format, storing the converted data in memory accessible by at least one parallel processing unit, and processing the converted data stored in the memory using the at least one parallel processing unit.

Abstract: Apparatuses, systems, and techniques to allocate computing resources to perform inferences. In at least one embodiment, one or more neural networks cause computing resources to be identified based, at least in part, on performance requirements of one or more neural networks to perform inferences.

Abstract: Apparatuses, systems, and techniques to facilitate generation of one medical image from another medical image using one or more neural networks trained using a generative adversarial network (GAN) that utilizes a bidirectional encoder representations from transformers (BERT) as a discriminator. In at least one embodiment, one or more neural networks trained using a GAN comprising a BERT discriminator generate a positron emission tomography (PET) image from a magnetic resonance imaging (MRI) image.