Tesla had 23 patents in artificial intelligence during Q4 2023. Tesla Inc filed patents in Q4 2023 for a microprocessor system with a hardware data formatter for parallel processing, fail-safe corrective actions for autonomous driving based on vision information, training machine learning models for autonomous driving using vision and non-vision data, creating driving environments for training machine learning algorithms, and using artificial neural networks to autonomously operate a vehicle based on decomposed sensor images. GlobalData’s report on Tesla gives a 360-degreee 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 39% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Computational array microprocessor system using non-consecutive data formatting (Patent ID: US20230409519A1)
The patent filed by Tesla Inc. describes a microprocessor system that includes a computational array with multiple computation units operating on values from memory in parallel. A hardware data formatter gathers these values, which can be from non-consecutive subsets in memory. The system is designed to handle vector input operands, perform dot-product component operations, and process input channels of vision data or sensor data, including non-image sensor data like ultrasonic, radar, or LiDAR data. Additionally, the system can work with convolution filters to identify features in input data and dynamically adjust memory allocation between data and weight inputs.
The system's hardware data formatter determines start and end memory addresses for subsets of values, performs cache checks, and selects subsets based on padding or stride parameters. The computational array includes computation units with arithmetic logic units, accumulators, and shadow registers. The system can process at least 96 values in parallel, divided into at least 12 subsets, enhancing its efficiency in handling complex computational tasks. Overall, the patent outlines a sophisticated microprocessor system optimized for high-performance computing tasks involving data processing and analysis, particularly in the context of vision data, sensor data, and convolution filters.
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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.
