Intel corporation (20240211549). METHODS AND APPARATUS FOR PRIVATE SYNTHETIC DATA GENERATION simplified abstract
Contents
METHODS AND APPARATUS FOR PRIVATE SYNTHETIC DATA GENERATION
Organization Name
Inventor(s)
Marius Arvinte of Portland OR (US)
Brandon Edwards of Portland OR (US)
Cory Cornelius of Portland OR (US)
Jason Martin of Beaverton OR (US)
Sebastian Szyller of Helsinki (FI)
Micah Sheller of Hillsboro OR (US)
Nageen Himayat of Danville CA (US)
METHODS AND APPARATUS FOR PRIVATE SYNTHETIC DATA GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240211549 titled 'METHODS AND APPARATUS FOR PRIVATE SYNTHETIC DATA GENERATION
The abstract of the patent application describes an apparatus that utilizes interface circuitry, machine-readable instructions, and at least one processor circuit to access and manipulate sets of samples associated with a diffusion model.
- The apparatus accesses a first set of samples containing input data samples related to the diffusion model.
- It generates a representation of the first set of samples.
- The representation is sampled to create a representation of a second set of samples.
- The second set of samples, including output data samples, is generated from the representation of the second set of samples.
- The output data samples differ from the corresponding input data samples.
Potential Applications: - This technology could be applied in various fields such as data analysis, simulation modeling, and scientific research. - It may find use in optimizing diffusion processes in chemical engineering or material science.
Problems Solved: - The technology streamlines the process of generating output data samples based on input data samples in a diffusion model. - It enhances the efficiency and accuracy of analyzing diffusion phenomena.
Benefits: - Improved accuracy in modeling diffusion processes. - Time-saving in generating output data samples. - Enhanced understanding of complex diffusion models.
Commercial Applications: Title: Enhanced Diffusion Modeling Technology for Scientific Research and Data Analysis This technology could be commercialized in industries such as pharmaceuticals, environmental science, and materials engineering for advanced research and development purposes.
Questions about the technology: 1. How does this technology improve the efficiency of analyzing diffusion models? 2. What are the potential real-world applications of this enhanced diffusion modeling technology?
Original Abstract Submitted
an example apparatus includes interface circuitry, machine-readable instructions, and at least one processor circuit to be programmed by the machine-readable instructions to access a first set of samples associated with a diffusion model, the first set of samples including a plurality of input data samples, generate a representation of the first set of samples, sample the representation of the first set of samples to generate a representation of a second set of samples, and generate the second set of samples from the representation of the second set of samples, the second set of samples including a plurality of output data samples, an output data sample corresponding to an input data sample and being different from the corresponding input data sample.
