Micron Technology Incorporated

Carla L Christensen

Bhumika Chhabra

Zahra Hosseinimakarem

Radhika Viswanathan

Avani F Trivedi

Libo Wang

Tracy D Evans

Jianmin Huang

Sebastien Andre Jean

Kulachet Tanpairoj

Aparna U Limaye

Chiara Cerafogli

Lalla Fatima Drissi

Jun Huang

Anna Scalesse

Carly M Wantulok

Maddalena Calzolari

Iolanda Del Villano

Ashish Ranjan

Prateek Trivedi

Tomoko Ogura Iwasaki

Xiao Li

Swetha Barkam

Lavanya Sriram

Anshika Sharma

Yunfei Xu

Bethany M Grentz

Gangotree Chakma

Sumana Adusumilli

Yingqi Zheng

Venkata Kiran Kumar Matturi

Reshmi Basu

Brandi M Jones

Cipriana Forgy

Lindsay Hamilton

Tara Gordon

A controller can be directly coupled to a storage device and a memory device but not a host. The controller can monitor a plurality of regions of the memory device to determine whether the plurality of regions meet a criterion for fullness and responsive to determining that the plurality of regions meet the criterion, read data from the plurality of regions. The controller can, responsive to reading the data from the plurality of regions, store the data in the storage device and delete the data from the plurality of regions. The controller can further, responsive to storing the data, report to a host that the data has been moved from the memory device to the storage device. The controller can be implemented independent from the host.

Controller for a memory device and a storage device

Methods, devices, and systems related to a computing device for capturing an augmented reality (AR) image displaying an AR are described. An example method can include projecting a structured array of light, from a mobile device, onto an object. The method further includes measuring multi-directional sections of the object with the projected light. The method further includes reconstructing a three-dimensional (3D) figure of the object based on the measured multi-directional sections. The method further includes displaying an augmented reality (AR) image associated with the 3D figure on a user interface of the mobile device.

Constructing an augmented reality image

Systems, devices, and methods related to generating instructive actions based on categorization of input data are described. In an example, a method can include receiving, from an edge device and at a processing resource of a device, a plurality of input data associated with a plurality of sources communicatively coupled to the edge device and categorizing each piece of the plurality of input data as private or public based on an associated one of the plurality of sources. The categorizing can include writing each piece of data with metadata that indicates that it is private or public and/or selecting a first data path indicated as private or a second data path indicated as public. The method can include writing each piece of the plurality of input data categorized as private to a dedicated buffer or a dedicated address space of a memory resource.

Instructive actions based on categorization of input data

Methods, systems, and devices for techniques for enhanced read performance on blocks of memory cells are described. The method may involve selecting a first block of memory cells from a set of blocks of memory cells of a memory system based on a condition of the first block of memory cells being met and setting one or more programming parameters corresponding to the first block of memory cells such that the one or more programming parameters are within a threshold value of one or more programming parameters corresponding to a second block associated with a storage density different from a storage density of the first block of memory cells. Further, the method may involve performing an operation on the block of memory cells according to the one or more programming parameters.

Techniques for enhanced read performance on repurposed blocks of memory cells

Methods, systems, and devices for rating-based mapping of data to memory are described. A memory system may determine a first rating for a set of data selected for writing to a memory system. The memory system may select a target page of a block in the memory system for writing the set of data based at least in part on a second rating for the target page. The memory system may write the set of data to the target page based at least in part on the first rating for the set of data corresponding to the second rating for the target page.

Rating-based mapping of data to memory

Methods and devices systems related to a computing device for highlighting a tagged object with augmented reality (AR) are described. An example method can include identifying, using a computing device, an object tagged with a sensor within a plurality of objects. The example method can include tracking movement of the object based on communication between the sensor and the computing device and highlighting the object via AR based on the tracking and responsive to a request to locate the object.

Highlighting a tagged object with augmented reality

Methods and devices and systems related to a computing device for providing a route with augmented reality (AR) are described. An example method can include receiving, at a computing device, a trigger associated with a first location of the computing device, tracking movement of the computing device relative to the first location, and providing a route back to the first location from a second location reached during the tracked movement. The route can include displayed AR.

Providing a route with augmented reality

Systems, apparatuses, and methods related to media type selection for image data are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile) and can write data to the memory media types. Image data inputs can be written (e.g., stored) in a particular type of memory media characteristics. For instance, selection of memory media can be based on one or more attributes of the image data. In an example, a method can include receiving, by a memory system that comprises a plurality of memory media types, image data from a first image sensor of a plurality of image sensors, identifying one or more attributes of the image data, and writing, based at least in part on the one or more attributes of the image data, the image data to a first memory media type of the plurality of memory media types.

Media type selection for image data

A size comparison system may generate a size comparison by determining a size of an item based on extracted size data corresponding to the item. A comparison item is selected and the size comparison is generated between the item and the comparison item based on the size of the item. A visual rendering of the item and the comparison item is generated based on the size comparison and is displayed to a user.

Size comparison methods including online commerce examples utilizing same

A processor of a host can define a plurality of relationships in a virtual environment. The processor of the host can also provide the plurality of inputs describing look preferences to an AI accelerator. The AI accelerator can receive the inputs. The AI accelerator can also generate a plurality of looks based on the plurality of relationships and the plurality of inputs.

Look selection based on relationships in a virtual environment

Systems, apparatuses, and methods related to image based media type selection are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile). Determinations of which memory media types to write image data to can be made and the data can be written (e.g., stored) in the determined type of memory media. A determined memory media type can be based on attributes of the data. In an example, a method can include receiving, by a memory system that comprises a plurality of memory media types, initial image data from an image sensor coupled to the memory system, identifying one or more attributes of the initial image data, determining a type of memory media to write the initial image data to based on the identified attributes of the initial image data, and selecting, based at least in part on the determined type of memory media, a first memory type of the plurality of memory media types to write the initial image data.

Image data based media type selection based on a first identified attribute of the initial image data

Methods, apparatuses, and non-transitory machine-readable media for displaying information and/or images on a display of a computing device based on received data. Apparatuses can include a display screen, a memory resource, a recognition sensor, and a controller. An example controller can receive data and activate information and/or images on a display screen based in part on the received data. In another example, a method can include storing recognition data in a memory resource, receiving primary recognition data, comparing the primary recognition data to the stored recognition data, and activating the display screen for a viewing angle responsive to authentication of the primary recognition data through the comparison of the primary recognition data and the stored recognition data.

Display visibility block

Methods, systems, and apparatuses related to management of a computing device usage profile are described. The usage profile can be a usage profile of a computing device. Characteristics of workloads executed by a computing device can be monitored to determine whether performance of the computing device can be optimized by execution of an updated usage profile. Responsive to a determination that the performance of the computing device can be improved by execution of an updated usage profile, the updated usage profile can be received by the computing device and executed thereon.

Management of a computing device usage profile

Systems for weather sensing and forecasting, and associated devices and methods, are disclosed herein. In some embodiments, a system for predicting a subject's perception of weather conditions is provided. The system can generate an individual profile for the subject, the individual profile including health information of the subject. The system can receive weather data including a first weather condition for a target location. The system can compare the individual profile to a plurality of different user profiles to identify one or more similar user profiles. Each similar user profile can (1) be associated with a user having similar health information as the subject, and (2) include weather perception data indicating how the user perceived a set of second weather conditions. Based on the weather data and the similar user profile(s), the system can generate a prediction of the how the subject will perceive the first weather condition.

Systems for generating personalized and/or local weather forecasts

Methods, systems, and devices for host-enabled block swap techniques are described. In some examples, a host system may receive an indication of a health metric associated with a first physical block and a second physical block of a memory system, where a first logical block of the memory system is associated with a first type of data and is mapped to the first physical block, and where a second logical block of the memory system is associated with a second type of data. The host system may then determine that the health metric associated with the first physical block satisfies a threshold and may update a mapping associated with the first virtual block, the second virtual block, the first physical block, and the second physical block.

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Boise, ID, United States of America

Carla L Christensen