Micron Technology Incorporated

Robert Noel Bielby

Poorna Kale

Junichi Sato

Methods, systems, and devices for video stream augmentation using a deep learning device are described. A machine learning device of a vehicle may augment a video stream received from cameras of the vehicle and may output the augmented video stream to a display component of the vehicle. For example, a camera of the vehicle may record a video stream of and a sensor of the vehicle may detect information about an environment associated with the vehicle. The camera and sensor may transmit the video stream and information, respectively, to the machine learning device, which may process and modify the video stream based on parameters of the video stream and/or the information. The machine learning device may transmit the modified video streams to the display component, and the display component may display aspects of the modified video stream on a display of the vehicle, such as a rearview mirror.

Video stream augmentation using a deep learning device

Systems, apparatuses, and methods related to transferring data to a memory device based on importance are described. A memory apparatus includes a first memory device, a second memory device having a lower write latency than the first memory device, and a controller coupled to the first memory device and second memory device via a compute express link (CXL) interface. The controller is configured to assign an importance level to a write request based on data associated with the write request, a hierarchy of importance levels for different data types, and the second memory device having a lower write latency than the first memory device. The controller is further configured to transfer the data to the first memory device in response to the assigned importance level having a first value and transfer the data to the second memory device in response to the assigned importance level having a second value.

Transferring data to a memory device based on importance

Methods, systems, and devices for security configurations for zonal computing architecture are described. A zonal computing system in a vehicle may be associated with multiple zones. The zonal computing system may include devices (e.g., sensors, actuators) that interact with the vehicle or an environment associated with the vehicle. A memory system included in the zonal computing system may authenticate whether a device associated with a zone is a trusted device and enable or restrict communications with the device based on the authentication. For example, the zonal computing system may include a central processor that communicates with a remote server and the multiple zones and may include a gateway processor coupled with the central processor and the device and associated with the zone. Based on whether the device is trusted, the memory system may enable or restrict communications between the central processer and the device and routed through the gateway processor.

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Placerville, CA, United States of America

Robert Noel Bielby