20240020523. ORDERING INFRASTRUCTURE USING APPLICATION TERMS simplified abstract (Dell Products L.P.)

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ORDERING INFRASTRUCTURE USING APPLICATION TERMS

Organization Name

Dell Products L.P.

Inventor(s)

Rachna Lalwani of Westford MA (US)

Owen Martin of Hopedale MA (US)

Arieh Don of Newton MA (US)

ORDERING INFRASTRUCTURE USING APPLICATION TERMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240020523 titled 'ORDERING INFRASTRUCTURE USING APPLICATION TERMS

Simplified Explanation

The abstract describes a system that uses a generative adversarial network (GAN) to train a generator neural network and a discriminator neural network. The trained generator neural network is capable of producing a bill of materials for a computer system based on functional requirements provided to it. The trained discriminator neural network can determine whether the generated bill of materials satisfies the functional requirements. The system can then output the generated bill of materials and store it.

  • The system trains a generator neural network to produce a bill of materials for a computer system based on functional requirements.
  • The system trains a discriminator neural network to determine whether the generated bill of materials satisfies the functional requirements.
  • The system can output the generated bill of materials and store it.

Potential applications of this technology:

  • Automated generation of bills of materials for computer systems based on functional requirements.
  • Streamlining the process of designing and configuring computer systems.

Problems solved by this technology:

  • Reducing the manual effort required to generate bills of materials for computer systems.
  • Ensuring that the generated bill of materials satisfies the functional requirements.

Benefits of this technology:

  • Increased efficiency in the design and configuration of computer systems.
  • Reduction in human error during the bill of materials generation process.
  • Potential for faster turnaround time in providing accurate bills of materials.


Original Abstract Submitted

a system can train a generator neural network to produce a trained generator neural network of a generative adversarial network, wherein the trained generator neural network is configured to output a bill of materials in response to receiving functional requirements for a computer system. the system can train a discriminator neural network to produce a trained discriminator neural network of the generative adversarial network, wherein the trained discriminator neural network is configured to output whether the bill of materials received from the trained generator neural network satisfies the functional requirements for the computer system. the system can produce an output bill of materials from the generative adversarial network based on the functional requirements. the system can store the output bill of materials in the system.

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