Micron Technology Incorporated

Anshika Sharma

Lavanya Sriram

Fatma Arzum Simsek-Ege

Trupti D Gawai

Shruthi Kumara Vadivel

Deepti Verma

Carla L Christensen

Xiao Li

Libo Wang

Swetha Barkam

Priya Vemparala Guruswamy

Chunhua Yao

Cipriana Forgy

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, devices, and systems related to process control in manufacturing are described. In an example, a method can include receiving data from a first process control device affixed to a first manufacturing tool of a first type, identifying one or more attributes of the data via a second processing resource of a second process control device affixed to a second manufacturing tool of a second type different from the first type, determining one or more settings for the second manufacturing tool via the second processing resource in response to identifying the one or more attributes of the data, and sending a command including the one or more settings to the second manufacturing tool from the second process control device.

Process control device in manufacturing

Methods and apparatuses associated with surface cleaning are described. Examples can include detecting at a processing resource of a robot and via a temperature sensor of the robot, a temperature of a surface on which the robot is located. Examples can include the processing resource shutting down the robot in response to the temperature being at or above a particular threshold temperature, and the processing resource instructing the robot to clean the surface following a particular cleaning path using a vacuum, a scrubber, or both in response to the temperature being below a particular threshold temperature.

Surface cleaning

Methods, systems, and devices for operating emergency prevention sensor systems are described. Devices can include a plurality of components including a sensor component, a processor, and memory. In an example, a method can include receiving at a processor signaling from a plurality of environmental sensing devices, each having at least one biodegradable component, in an area of concern, wherein the area of concern corresponds to a particular set of coordinates in a database, determining environmental characteristics of an emergency associated with the area of concern based, at least in part, on the signaling, and determining a preventive action based on the determined characteristics. In another example, a number of components of the sensing devices are biodegradable.

Operating emergency prevention sensor systems

Methods, systems, and non-transitory machine-readable media associated with an emergency assistance response are described. A system for an emergency assistance response can include a non-transitory machine-readable medium comprising a processing resource in communication with a memory resource having instructions executable to receive signaling associated with monitored health data. The instructions can be executable to track the received signaling, identify, output data representative of abnormal health data based on the tracked received signaling, and transmit the output data to a wearable device. The wearable device can receive the output data representative of the abnormal health data, provide a prompt via a user interface to a wearer of the wearable device associated with the abnormal health data, determine a response to the abnormal health data based on a reply or non-reply from the wearer via the user interface, and transmit the response to the processing resource.

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Boise, ID, United States of America

Anshika Sharma