Dell products l.p. (20240177023). SYSTEM AND METHOD FOR MANAGING INFERENCE MODEL DISTRIBUTIONS IN DYNAMIC SYSTEM simplified abstract
Contents
- 1 SYSTEM AND METHOD FOR MANAGING INFERENCE MODEL DISTRIBUTIONS IN DYNAMIC SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR MANAGING INFERENCE MODEL DISTRIBUTIONS IN DYNAMIC SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEM AND METHOD FOR MANAGING INFERENCE MODEL DISTRIBUTIONS IN DYNAMIC SYSTEM
Organization Name
Inventor(s)
OFIR Ezrielev of Beer Sheva (IL)
JEHUDA Shemer of Kfar Saba (IL)
SYSTEM AND METHOD FOR MANAGING INFERENCE MODEL DISTRIBUTIONS IN DYNAMIC SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240177023 titled 'SYSTEM AND METHOD FOR MANAGING INFERENCE MODEL DISTRIBUTIONS IN DYNAMIC SYSTEM
Simplified Explanation
The patent application describes methods and systems for managing inference models hosted by data processing systems. This involves identifying conditions to which the data processing systems are likely to be exposed, using these conditions to select operating modes for the inference models, and automatically modifying the models based on the identified conditions.
- The system manages inference models hosted by data processing systems.
- Conditions to which the data processing systems are exposed are identified.
- Operating modes for the inference models are selected based on the identified conditions.
- The models are automatically modified to adapt to the conditions of the data processing systems.
Potential Applications
The technology described in the patent application could be applied in various fields such as:
- Predictive maintenance in manufacturing
- Fraud detection in finance
- Personalized recommendations in e-commerce
Problems Solved
The technology addresses the following issues:
- Ensuring optimal performance of inference models in varying conditions
- Automating model adaptation to changing environments
- Enhancing the efficiency of data processing systems
Benefits
The benefits of this technology include:
- Improved accuracy and reliability of inference models
- Increased efficiency and cost-effectiveness of data processing systems
- Enhanced adaptability to dynamic operating conditions
Potential Commercial Applications
The technology could be commercially applied in industries such as:
- Healthcare for predictive diagnostics
- Transportation for route optimization
- Marketing for targeted advertising campaigns
Possible Prior Art
One possible prior art in this field is the use of machine learning algorithms to optimize model performance based on changing data inputs. Another could be the development of adaptive systems for real-time data processing and analysis.
Unanswered Questions
The patent application does not specifically address how privacy concerns are managed in the context of data processing systems and inference models.
What are the potential limitations of this technology in terms of scalability for large-scale data processing systems?
The patent application does not discuss the scalability of the technology for handling large volumes of data in data processing systems.
Original Abstract Submitted
methods and systems for managing inference models hosted by data processing systems are disclosed. to manage the inference models, the conditions to which the data processing systems are likely to be exposed are identified. the identified conditions may be used to select operating modes for inference models hosted by the data processing systems. the operating modes may define when and under which conditions the inference models hosted by the data processing systems are automatically modified. the automatic modifications may adapt the inference models to the conditions to which the data processing systems are exposed.
