Samsung electronics co., ltd. (20240119297). METHOD AND DEVICE WITH CHECKPOINTING simplified abstract
Contents
- 1 METHOD AND DEVICE WITH CHECKPOINTING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND DEVICE WITH CHECKPOINTING - 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
METHOD AND DEVICE WITH CHECKPOINTING
Organization Name
Inventor(s)
Byungwoo Bang of Suwon-si (KR)
Wooseok Chang of Suwon-si (KR)
Hun Seong Choi of Suwon-si (KR)
METHOD AND DEVICE WITH CHECKPOINTING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240119297 titled 'METHOD AND DEVICE WITH CHECKPOINTING
Simplified Explanation
The processor-implemented method with checkpointing described in the abstract involves learning an artificial neural network (ANN) model and simultaneously storing information about the state of the ANN model through checkpointing.
- Learning operation for an artificial neural network (ANN) model
- Checkpointing to store information about the state of the ANN model
- Checkpointing is performed simultaneously with the learning operation
Potential Applications
The technology described in this patent application could be applied in various fields such as:
- Machine learning
- Artificial intelligence
- Data analysis
Problems Solved
This technology helps in addressing the following issues:
- Ensuring data integrity during the learning process
- Facilitating the recovery of the ANN model in case of failures or interruptions
Benefits
The benefits of this technology include:
- Improved reliability of the learning process
- Enhanced efficiency in managing the state of the ANN model
Potential Commercial Applications
The potential commercial applications of this technology could include:
- Development of advanced AI systems
- Integration into data processing platforms
Possible Prior Art
One possible prior art related to this technology is the use of checkpointing in distributed computing systems to ensure fault tolerance and data consistency.
Unanswered Questions
How does the checkpointing process impact the overall performance of the learning operation for the ANN model?
The impact of the checkpointing process on the performance of the learning operation for the ANN model is not explicitly discussed in the abstract. Further details on this aspect could provide insights into the trade-offs involved in implementing checkpointing.
What specific information about the state of the ANN model is stored during the checkpointing process?
The abstract mentions storing information about the state of the ANN model through checkpointing, but it does not specify the exact details of the information stored. Understanding the specific data captured during the checkpointing process could shed light on the robustness and recoverability of the ANN model.
Original Abstract Submitted
a processor-implemented method with checkpointing includes: performing an operation for learning of an artificial neural network (ann) model; and performing a checkpointing to store information about a state of the ann model, simultaneously with performing the operation for the learning of the ann model.
