Huawei technologies co., ltd. (20240296327). MODEL TRAINING SYSTEM AND METHOD simplified abstract
Contents
- 1 MODEL TRAINING SYSTEM AND METHOD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MODEL TRAINING SYSTEM AND METHOD - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Model Training System with MEMS and Processors
- 1.13 Original Abstract Submitted
MODEL TRAINING SYSTEM AND METHOD
Organization Name
Inventor(s)
MODEL TRAINING SYSTEM AND METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240296327 titled 'MODEL TRAINING SYSTEM AND METHOD
Simplified Explanation
This patent application describes a system and method for training models using MEMS and processors in a group, where the processors jointly train a model by transmitting data through an optical transmission channel.
Key Features and Innovation
- System includes MEMS and processors in a group for model training.
- MEMS construct optical transmission channels between nodes.
- Processors jointly train a model by transmitting data through the channels.
- Processors adjust parameters based on target data received.
Potential Applications
This technology can be used in:
- Machine learning and artificial intelligence research.
- Data analysis and pattern recognition.
- Network optimization and communication systems.
Problems Solved
- Efficient model training with parallel processing.
- Improved data transmission between nodes.
- Enhanced parameter adjustment for better model accuracy.
Benefits
- Faster model training process.
- Enhanced model accuracy and performance.
- Scalable system for large-scale data processing.
Commercial Applications
Optimized for SEO: Model Training System with MEMS and Processors for Enhanced Data Processing
This technology can be applied in various industries such as:
- Healthcare for medical image analysis.
- Finance for fraud detection and risk assessment.
- Manufacturing for quality control and predictive maintenance.
Prior Art
Readers can explore prior art related to model training systems, MEMS technology, and optical communication channels in the field of machine learning and data processing.
Frequently Updated Research
Stay updated on the latest advancements in model training systems, MEMS technology, and parallel processing techniques for improved data analysis and machine learning applications.
Questions about Model Training System with MEMS and Processors
How does this technology improve model training efficiency?
This technology enhances model training efficiency by utilizing parallel processing and optical transmission channels for faster data exchange and parameter adjustments.
What are the potential applications of this system beyond model training?
This system can be applied in various industries for data analysis, pattern recognition, and network optimization, offering benefits in healthcare, finance, and manufacturing sectors.
Original Abstract Submitted
this application provides a model training system and method. the system includes a first group, where the first group includes an mems and s�c processors, s is a quantity of nodes in the first group, c is a quantity of processors in one node, and both s and c are positive integers, the mems, configured to construct an optical transmission channel between any two of the s nodes, and the s�c processors, configured to jointly train a model. in one iteration of joint model training, the s�c processors are configured to run model training in respective processors, to obtain respective corresponding data. at least two of the s�c processors transmit target data through the optical transmission channel. a processor that receives the target data may be configured to adjust a parameter for model training in the processor based on the target data.
