Pony AI Assigned Patent

Pony AI Inc., Grand Cayman, Cayman Islands, has been assigned a patent (11,210,221) developed by Zhang, Yubo, Los Gatos, CA, and Meng, Pingfan, Dublin, CA, for “memory architecture for efficient spatial-temporal data storage and access.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Described herein are systems, methods, and non-transitory computer readable media for memory address encoding of multi-dimensional data in a manner that optimizes the storage and access of such data in linear data storage. The multi-dimensional data may be spatial-temporal data that includes two or more spatial dimensions and a time dimension. An improved memory architecture is provided that includes an address encoder that takes a multi-dimensional coordinate as input and produces a linear physical memory address. The address encoder encodes the multi-dimensional data such that two multi-dimensional coordinates close to one another in multi-dimensional space are likely to be stored in close proximity to one another in linear data storage. In this manner, the number of main memory accesses, and thus, overall memory access latency is reduced, particularly in connection with real-world applications in which the respective probabilities of moving along any given dimension are very close.”

The patent application was filed on December 10, 2019 (16/709,217).