Tesla had 23 patents in artificial intelligence during Q1 2024. Tesla Inc filed patents in Q1 2024 related to handling errors in neural networks for vehicle use, a vehicular autonomous driving system with emergency event detection, training machine learning models using sensor data, vision-based machine learning models for lane connectivity in autonomous driving, and model evaluation with enhanced user interface for analyzing machine learning models in autonomous vehicles. GlobalData’s report on Tesla gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Tesla grant share with artificial intelligence as a theme is 34% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: System and method for handling errors in a vehicle neural network processor (Patent ID: US20240086270A1)
The patent filed by Tesla Inc. describes a system for handling errors in a neural network used in vehicles. The system includes a neural network processor with an error detector to identify data errors during neural network execution. Upon detecting an error, a neural network controller is notified and signals that the current result of the neural network is compromised, without stopping the network's operation.
This innovative system allows for the detection and management of data errors within a neural network without halting its execution, ensuring continuous operation of the network in vehicles. By promptly identifying errors and marking tainted results, the system can potentially enhance the safety and reliability of neural network applications in the automotive industry.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
