Lg electronics inc. (20240232620). ARTIFICIAL INTELLIGENCE DEVICE FOR EVALUATION AND CONTROL METHOD THEREOF simplified abstract
Contents
ARTIFICIAL INTELLIGENCE DEVICE FOR EVALUATION AND CONTROL METHOD THEREOF
Organization Name
Inventor(s)
Harmanpreet Singh of Toronto (CA)
Royaldenzil Sequiera of Kitchener (CA)
ARTIFICIAL INTELLIGENCE DEVICE FOR EVALUATION AND CONTROL METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240232620 titled 'ARTIFICIAL INTELLIGENCE DEVICE FOR EVALUATION AND CONTROL METHOD THEREOF
The abstract describes a method for controlling an artificial intelligence device by utilizing a knowledge graph, training a link prediction model, extracting logic rules, generating evaluation metrics, and outputting evaluation results.
- Obtaining a knowledge graph and training a link prediction model on it.
- Extracting logic rules from the trained link prediction model.
- Generating evaluation metrics based on the logic rules.
- Comparing the evaluation metrics to predetermined criteria to generate evaluation results.
- Saving the trained link prediction model in the device's memory or transmitting it to an external device based on the evaluation results.
Potential Applications: - Enhancing the performance of artificial intelligence devices. - Improving decision-making processes in various industries. - Enhancing the accuracy of predictions and recommendations.
Problems Solved: - Enhancing the interpretability and explainability of AI models. - Improving the trustworthiness of AI systems. - Facilitating the deployment of trained models in different environments.
Benefits: - Increased efficiency in AI model training. - Enhanced transparency in AI decision-making processes. - Improved performance and accuracy of AI systems.
Commercial Applications: Title: "Enhanced AI Control Method for Improved Decision-Making" This technology can be applied in industries such as finance, healthcare, and e-commerce to optimize processes, enhance customer experiences, and drive business growth.
Questions about AI Control Method: 1. How does the method improve the interpretability of AI models? 2. What are the potential implications of deploying trained models in external devices?
Original Abstract Submitted
a method for controlling an artificial intelligence (ai) device can include obtaining, via a processor in the ai device, a knowledge graph, training, via the processor, a link prediction model on the knowledge graph to generate a trained link prediction model, extracting, via the processor, logic rules from the trained link prediction model, generating, via the processor, at least one evaluation metric based on the logic rules, and generating, via the processor, evaluation results based on comparing the at least one evaluation metric to a predetermined criteria, and outputting, via an output unit in the ai device, the evaluation results. also, the method can include saving the trained link prediction model in a memory of the ai device for deployment or transmitting the trained link prediction model to an external device for deployment, based on the evaluation results.
