Abstract: A computational device generates a graph data structure comprising a plurality of inductive nodes having a plurality of attributes. The plurality of inductive nodes are clustered into a plurality of groupings based on the plurality of attributes. A substitution is made of more than one inductive node with a single distribution node that represents characteristics of the more than one inductive node based on distribution models of attributes included in the plurality of groupings.

Abstract: A first natural language document is received. The document includes unstructured data and a first table structure that includes a plurality of first table entries. The first table structure is identified based on the document. The first table structure is extracted from the document in response to the identifying. A first machine learning output is generated based on a first machine learning model and from the document. A second machine learning output is generated based on a second machine learning model and from the first table structure. The first output of the document and the second output of the first table structure are combined.

Abstract: The present invention sets forth a method and a system for powering a graphics processing unit (GPU) with a power supply subsystem. In one embodiment, the method includes generating an offset in response to an operating voltage need of the GPU; and applying the offset to information associated with a first operating voltage of the GPU; wherein the offset causes the first operating voltage to change to a second operating voltage of the GPU.

Abstract: The present invention sets forth a method and a system for powering a graphics processing unit (GPU) with a power supply sybsystem. In one embodiment, the method includes generating an offset in response to an operating voltage need of the GPU; and applying the offset to information associated with a first operating voltage of the GPU; wherein the offset causes the first operating voltage to change to a second operating voltage of the GPU.