Google llc (20240338387). INPUT DATA ITEM CLASSIFICATION USING MEMORY DATA ITEM EMBEDDINGS simplified abstract
Contents
- 1 INPUT DATA ITEM CLASSIFICATION USING MEMORY DATA ITEM EMBEDDINGS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INPUT DATA ITEM CLASSIFICATION USING MEMORY DATA ITEM EMBEDDINGS - 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 Questions about the Technology
- 1.11 Original Abstract Submitted
INPUT DATA ITEM CLASSIFICATION USING MEMORY DATA ITEM EMBEDDINGS
Organization Name
Inventor(s)
Ahmet Iscen of Seyssinet-Pariset (FR)
Alireza Fathi of Redwood City CA (US)
Cordelia Luise Schmid of Saint Ismier (FR)
INPUT DATA ITEM CLASSIFICATION USING MEMORY DATA ITEM EMBEDDINGS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240338387 titled 'INPUT DATA ITEM CLASSIFICATION USING MEMORY DATA ITEM EMBEDDINGS
Simplified Explanation
The patent application describes methods, systems, and apparatus for performing a classification task on a data item using key and value embeddings of memory data items.
Key Features and Innovation
- Classification task on a data item using key and value embeddings of memory data items
- Computer programs encoded on computer storage media
- System for classifying input data items
Potential Applications
This technology can be applied in various fields such as:
- Data analysis
- Machine learning
- Information retrieval
Problems Solved
The technology addresses the following problems:
- Efficient classification of data items
- Improved data analysis processes
- Enhanced information retrieval systems
Benefits
The benefits of this technology include:
- Increased accuracy in classification tasks
- Streamlined data analysis procedures
- Enhanced performance of information retrieval systems
Commercial Applications
- This technology can be used in industries such as data analytics, artificial intelligence, and information technology.
- It has the potential to improve the efficiency and accuracy of classification tasks in various commercial applications.
Questions about the Technology
What are the key features of the classification system described in the patent application?
The key features include the use of key and value embeddings of memory data items for classifying input data items.
How can this technology benefit industries such as data analytics and machine learning?
This technology can enhance the accuracy and efficiency of classification tasks, leading to improved data analysis processes and information retrieval systems.
Original Abstract Submitted
methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing a classification task on a data item. in particular, a system classifies an input data item using key and value embeddings of memory data items.
