Micron Technology Incorporated

Marta Egorova

Zahra Hosseinimakarem

Dmitry A Vengertsev

Kathryn H Russo

Mandy W Fortunati

Srinivasa Anuradha Bulusu

Methods, apparatuses, and systems associated with anomaly detection and resolution are described. Examples can include detecting, via a sensor of a robot, an object in a path of the robot while the robot is performing a task in an environment and classifying the object as an anomaly or a non-anomaly and the environment as anomalous or non-anomalous using a machine learning model. Examples can include proceeding with the task responsive to classification of the object as a non-anomaly and the environment as non-anomalous and resolving the anomaly or the anomalous environment and proceeding with the task responsive to classification of the object as an anomaly or the environment as anomalous.

Anomaly detection and resolution

Methods and devices related to selecting image sensors are described. In an example, a method can include receiving, at a processing resource of a computing device, first signaling indicative of image data from a plurality of image sensors that are located under a surface of a display of the computing device; receiving, at the processing resource of the computing device, second signaling indicative of display data indicating a first portion of the display is active when the computing device is running an application, determining, at the processing resource, that a first image sensor of the plurality of sensors is closest to the first portion of the display, and selecting the first image sensor of the plurality of sensors closest to the first portion of the display for generating image data for the application.

Image sensor selection

Embodiments of the present disclosure include apparatuses and method for a stacked light emitting diode (LED) display. A stacked LED display can include a first array of LEDs that are configured to emit red light, a second array of LEDs that are configured to emit green light, and a third array of LEDs that are configured to emit blue light. The stacked LED hologram display can include a number of actuators configured to adjust a position of a first array of LEDs in a first direction and a second direction orthogonal to the first direction, adjust a position of a second array of LEDs in the first direction and the second direction, and adjust a position of a third array of LEDs in the first direction and the second direction to control the packing scheme of the LEDs.

Stacked light emitting diode (LED) display

A method includes receiving, at an artificial intelligence (AI) accelerator of a computing system, at least one of: manufacturer data, third-party data, sensor data, or primary usage data of a consumable in a primary device and performing an AI operation on at least one of: the manufacturer data, the third-party data, the sensor data, or the primary usage data at the AI accelerator of the computing system using an AI model. The method further includes determining a primary life expectancy of the consumable in the primary device at the AI accelerator in response to performing the AI operation.

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Boise, ID, United States of America

Marta Egorova