20240086270.SYSTEM AND METHOD FOR HANDLING ERRORS IN A VEHICLE NEURAL NETWORK PROCESSOR simplified abstract (tesla, inc.)
Contents
- 1 SYSTEM AND METHOD FOR HANDLING ERRORS IN A VEHICLE NEURAL NETWORK PROCESSOR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR HANDLING ERRORS IN A VEHICLE NEURAL NETWORK PROCESSOR - 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 HANDLING ERRORS IN A VEHICLE NEURAL NETWORK PROCESSOR
Organization Name
Inventor(s)
Christopher Hsiong of San Jose CA (US)
Emil Talpes of San Mateo CA (US)
Debjit Das Sarma of San Jose CA (US)
Peter Bannon of Woodside CA (US)
Kevin Hurd of Redwood City CA (US)
Benjamin Floering of San Jose CA (US)
SYSTEM AND METHOD FOR HANDLING ERRORS IN A VEHICLE NEURAL NETWORK PROCESSOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240086270 titled 'SYSTEM AND METHOD FOR HANDLING ERRORS IN A VEHICLE NEURAL NETWORK PROCESSOR
Simplified Explanation
The patent application describes a system for handling errors in a neural network associated with the use of a vehicle. The system includes an error detector to identify data errors during the execution of the neural network, and a neural network controller to receive reports of these errors and mark the pending results as tainted without stopping the network's operation.
- Neural network processor for vehicle use
- Error detector to identify data errors
- Neural network controller to mark tainted results
- System does not terminate network execution
Potential Applications
The technology can be applied in autonomous vehicles, drones, robotics, and other systems where neural networks are used for decision-making processes.
Problems Solved
1. Ensures errors in data do not lead to incorrect decisions or actions by the vehicle. 2. Prevents the need to stop the neural network's operation completely when errors are detected.
Benefits
1. Increased safety and reliability in vehicle operations. 2. Continuous operation of the neural network without interruptions.
Potential Commercial Applications
Optimized Neural Network Error Handling for Vehicle Systems
Possible Prior Art
There may be prior art related to error handling in neural networks, but specific examples are not provided in the abstract.
Unanswered Questions
== How does the system differentiate between different types of data errors in the neural network? The abstract does not specify how the error detector distinguishes between various types of data errors that may occur during the execution of the neural network.
== What measures are in place to prevent false positives in error detection? It is not mentioned in the abstract how the system avoids marking valid results as tainted due to false positives in error detection.
Original Abstract Submitted
a system for handling errors in a neural network includes a neural network processor for executing a neural network associated with use of a vehicle. the neural network processor includes an error detector configured to detect a data error associated with execution of the neural network and a neural network controller configured to receive a report of the data error from the error detector. in response to receiving the report, the neural network controller is further configured to signal that a pending result of the neural network is tainted, without terminating execution of the neural network.
