Nokia technologies oy (20240345935). PROCEDURE FOR PRE-DEPLOYMENT VALIDATION OF AI/ML ENABLED FEATURE simplified abstract
Contents
PROCEDURE FOR PRE-DEPLOYMENT VALIDATION OF AI/ML ENABLED FEATURE
Organization Name
Inventor(s)
Bharath Ramesh Kashyap of Bangalore (IN)
Vinayak Bellur of Bangalore (IN)
[[:Category:István Zsolt Kov�cs of Aalborg (DK)|István Zsolt Kov�cs of Aalborg (DK)]][[Category:István Zsolt Kov�cs of Aalborg (DK)]]
Fahad Syed Muhammad of Massy (FR)
PROCEDURE FOR PRE-DEPLOYMENT VALIDATION OF AI/ML ENABLED FEATURE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240345935 titled 'PROCEDURE FOR PRE-DEPLOYMENT VALIDATION OF AI/ML ENABLED FEATURE
The patent application describes an apparatus that can enter a test mode, receive information about a first model used on one side of a two-sided model, request a second model for the other side based on the first model, and receive the second model from a repository. It can also receive a model validation request, provide data to a model for validation, transmit the validation response, and receive a validation sequence result from the test equipment.
- Apparatus can enter a test mode and receive information about models used on different sides of a two-sided model.
- It can request and receive a second model based on the first model from a repository.
- The apparatus can provide data to a model for validation and receive validation results from the test equipment.
Potential Applications: - Quality control in manufacturing processes - Testing and validation of complex models in various industries
Problems Solved: - Efficient selection and validation of models for two-sided applications - Streamlining the testing process for complex models
Benefits: - Improved accuracy in model selection - Time and cost savings in testing procedures
Commercial Applications: Title: "Advanced Model Selection and Validation Apparatus for Industrial Testing" This technology can be used in industries such as automotive, aerospace, and electronics for quality control and testing of complex models.
Questions about the technology: 1. How does the apparatus determine which second model to request based on the first model? - The apparatus uses algorithms and data analysis to select the most suitable second model. 2. What are the potential challenges in integrating this technology into existing testing processes? - The integration process may require adjustments to existing systems and workflows.
Original Abstract Submitted
an apparatus configured to: enter a test mode; receive, from a test equipment, an indication of at least one first model used at a first side of a two-sided model; request, from a model repository, at least one second model for use at a second side of the two-sided model, wherein the at least one second model is selected based, at least partially, on the at least one first model; and receive, from the model repository, the at least one second model. an apparatus configured to: receive, from a test equipment, a model validation request; provide a data set to at least one model to obtain an inference validation response, wherein the at least one model is used at a first side of a two-sided model; transmit, to the test equipment, the inference validation response; and receive, from the test equipment, a validation sequence result.
