Nvidia corporation (20240161223). APPLICATION PROGRAMMING INTERFACE TO TRANSLATE A TENSOR simplified abstract
Contents
- 1 APPLICATION PROGRAMMING INTERFACE TO TRANSLATE A TENSOR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPLICATION PROGRAMMING INTERFACE TO TRANSLATE A TENSOR - 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
APPLICATION PROGRAMMING INTERFACE TO TRANSLATE A TENSOR
Organization Name
Inventor(s)
Harold Carter Edwards of Campbell CA (US)
Stephen Anthony Bernard Jones of San Francisco CA (US)
Alexander Lev Minkin of Los Altos CA (US)
Olivier Giroux of Santa Clara CA (US)
Gokul Ramaswamy Hirisave Chandra Shekhara of Bangalore (IN)
Vishalkumar Ketankumar Mehta of Stäfa (CH)
Aditya Avinash Atluri of Redmond WA (US)
Apoorv Parle of Santa Clara CA (US)
Ronny Meir Krashinsky of Portola Valley CA (US)
Andrew Robert Kerr of Atlanta GA (US)
Jack H. Choquette of Palo Alto CA (US)
APPLICATION PROGRAMMING INTERFACE TO TRANSLATE A TENSOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240161223 titled 'APPLICATION PROGRAMMING INTERFACE TO TRANSLATE A TENSOR
Simplified Explanation
The patent application describes apparatuses, systems, and techniques to translate a first tensor into a second tensor using a tensor map. One or more circuits are used to perform an application programming interface (API) to facilitate this translation process.
- Explanation:
- Apparatuses, systems, and techniques for translating tensors
- Use of circuits to perform an API for tensor translation
- Translation process based on a tensor map
Potential Applications
This technology could be applied in various fields such as image processing, machine learning, and data analysis where tensor manipulation is required.
Problems Solved
This technology solves the problem of efficiently translating tensors according to a specified tensor map, streamlining the process for applications that require such transformations.
Benefits
The benefits of this technology include improved efficiency in tensor translation, enhanced accuracy in data processing, and increased flexibility in handling complex data structures.
Potential Commercial Applications
- Image processing software
- Machine learning algorithms
- Data analysis tools
Possible Prior Art
There may be prior art related to tensor manipulation techniques in the fields of computer graphics, signal processing, and artificial intelligence.
Unanswered Questions
Question 1:
What specific types of tensors can be translated using this technology?
Answer:
The patent application does not specify the types of tensors that can be translated, leaving room for further exploration and clarification.
Question 2:
How does this technology compare to existing tensor translation methods in terms of speed and accuracy?
Answer:
The patent application does not provide a direct comparison with existing methods, leaving the evaluation of speed and accuracy to be determined through further research and testing.
Original Abstract Submitted
apparatuses, systems, and techniques to cause a first tensor to be translated into a second tensor according to a tensor map. in at least one embodiment, one or more circuits are to perform an application programming interface (api) to cause a first tensor to be translated into a second tensor according to a tensor map.
- Nvidia corporation
- Harold Carter Edwards of Campbell CA (US)
- Stephen Anthony Bernard Jones of San Francisco CA (US)
- Alexander Lev Minkin of Los Altos CA (US)
- Olivier Giroux of Santa Clara CA (US)
- Gokul Ramaswamy Hirisave Chandra Shekhara of Bangalore (IN)
- Vishalkumar Ketankumar Mehta of Stäfa (CH)
- Aditya Avinash Atluri of Redmond WA (US)
- Apoorv Parle of Santa Clara CA (US)
- Chao Li of Austin TX (US)
- Ronny Meir Krashinsky of Portola Valley CA (US)
- Alan Kaatz of Seattle WA (US)
- Andrew Robert Kerr of Atlanta GA (US)
- Jack H. Choquette of Palo Alto CA (US)
- G06T1/20
- G06F9/54
- G06T1/60