Abstract: Processing logic in a memory device receives a calibration scan command associated with the memory device. In response to the calibration scan command, execution of a set of read operations at a plurality of read voltage levels on the memory device is caused. In response to the calibration scan command, a set of bit counts is identified, where each bit count of the set of bit counts corresponds to a respective bin of a set of bins associated with the plurality of read voltage levels. Based on the bit count corresponding to each bin of the set of bins, a bin having a lowest bit count is identified.

Abstract: A high-speed, cold laminating system includes a lamination unit for inline use connected with a paper feeder supplying at least 30 ppm. The lamination unit further includes a set of unheated motor-driven laminating pressure rollers along a laminating path, and a cutter between the rollers and an exit. A diverter gate passes the paper sheets to the laminating path or to the exit without passing along the laminating path. The system includes a controller to control the motor, the diverter gate, and functions of the lamination unit. The controller is programmed to control the motor to pause the pressure rollers with a leading sheet therein while a subsequent sheet moves toward the pressure rollers so a laminated spacing distance between a trailing edge of the leading sheet and a leading edge of the subsequent sheet to equal a prescribed spacing distance.

Abstract: A method including training, by one or more processors, a generative AI model using a plurality of first service requests handled by technicians for servicing building equipment. The generative AI model may be trained to predict root causes of a plurality of first problems corresponding to the plurality of first service requests. The method may include receiving, by the one or more processors, a second service request for servicing building equipment. The method may include predicting, by the one or more processors using the generative AI model, a root cause of a second problem corresponding to the second service request based on characteristics of the second service request and one or more patterns or trends identified from the plurality of first service requests using the generative AI model.

Abstract: A method includes receiving, by one or more processors, a plurality of first unstructured service reports corresponding to a plurality of first service requests handled by technicians for servicing building equipment. The plurality of first unstructured service reports may include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method may include training, by the one or more processors, a generative AI model using the plurality of first unstructured service reports. The method may include performing, by the one or more processors using the trained generative AI model, one or more actions with respect a second service request subsequent to training the generative AI model.

Abstract: A method includes receiving, by one or more processors, an unstructured service report corresponding to a service request handled by one or more technicians for servicing building equipment. The unstructured service report may include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method may include extracting, by the one or more processors, a set of standards from one or more technical documents associated with the building equipment. The method may include automatically generating, by the one or more processors using a generative AI model, a structured service report in the predetermined format for delivery to a customer associated with the building equipment. Generating the structured service report may include standardizing the structured service report to comply with the set of standards extracted from the one or more technical documents associated with the building equipment.

Abstract: A method including training, by one or more processors, a generative AI model using first operating data from building equipment and a plurality of first service reports indicating a plurality of first problems associated with the building equipment. The method may include predicting, by the one or more processors using the generative AI model, one or more future problems likely to occur with the building equipment based on second operating data from the building equipment. The method may include automatically initiating, by the one or more processors, one or more actions to prevent the one or more future problems from occurring or mitigate an effect of the one or more future problems.

Abstract: A method includes receiving, by one or more processors, an unstructured service report corresponding to a service request handled by one or more technicians for servicing building equipment. The unstructured service report may include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method may include automatically generating, by the one or more processors using a generative AI model, a structured service report in the predetermined format for delivery to a customer associated with the building equipment. The structured service report may include additional content generated by the generative AI model and not provided within the unstructured service report.

Abstract: A method includes receiving, by one or more processors, unstructured service data corresponding to one or more service requests handled by technicians for servicing building equipment of a building. The method may include detecting, by the one or more processors, an identifier of the building equipment, a space of the building, or a customer associated with the building using the unstructured service data. The method may include retrieving, by the one or more processors based on the identifier of the building equipment, the space, or the customer, additional data associated with the building equipment, the space, or the customer from one or more additional data sources separate from the unstructured service data. The method may include training, by the one or more processors, a generative AI model using training data including the unstructured service data and the additional data.

Abstract: A method includes training, by one or more processors, a generative AI model using a plurality of first service requests handled by technicians for servicing building equipment and outcome data indicating outcomes of the plurality of first service requests. The generative AI model may be trained to identify one or more patterns or trends between characteristics of the plurality of first service requests and the outcomes of the plurality of first service requests. The method may include receiving a second service request for servicing building equipment. The method may include automatically determining, using the generative AI model, one or more responses to the second service request based on characteristics of the second service request and the one or more patterns or trends between the characteristics of the plurality of first service requests and the outcomes of the plurality of first service requests identified using the generative AI model.

Abstract: A method includes training, by one or more processors, a generative AI model using training data including a plurality of first service requests indicating a plurality of first problems associated with building equipment and a plurality of first actions performed in response to the plurality of first service requests. The method may include receiving, by the one or more processors, a second service request indicating a second problem associated with building equipment. The method may include automatically determining, by the one or more processors using the generative AI model, one or more second actions to perform based on characteristics of the second service request. The method may include automatically initiating, by the one or more processors, the one or more second actions to address the second problem associated with the building equipment.

Abstract: A method including training, by one or more processors, a generative AI model using a plurality of first unstructured service reports corresponding to a plurality of first service requests handled by technicians for servicing building equipment. The plurality of first unstructured service reports include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method includes receiving, by the processors, a second service request for servicing building equipment. The method includes generating, by the processors using the generative AI model, a user interface prompting a user to provide information about a problem leading to the second service request as unstructured data not conforming to the predetermined format or conforming to the plurality of different predetermined formats.

Abstract: Processing logic in a memory device receives a command to execute a set of read operations having read voltage levels corresponding to a programming distribution associated with the memory device. A set of memory bit counts is determined, where each memory bit count corresponds to a respective bin of a set of bins associated with the multiple read voltage levels of the set of read operations. A valley center bin having a minimum memory bit count of the set of memory bit counts is determined. The processing logic determines that the minimum memory bit count of the valley center bin satisfies a condition and an adjusted read voltage level associated with the valley center bin is identified in response to the condition being satisfied.

Abstract: An automated product locker includes a housing and a drawer configured to be slidably stowable within the housing. The defines a storage area for storing product. Visual indicators on the product locker indicate respective positions, i.e., locations of the product within the storage area, so that desired products may located by the user. Upon withdrawal or closure of a door by a user, a machine vision system, such as a camera, may capture information about the product and inventory the product based, at least in part, on the information identified from images of the product obtaining by the machine vision system.

Abstract: A method of cleaning a dust filter includes applying a negative electrical potential to a first electrode in a first area of a dust filter and applying a positive electrical potential to a second electrode disposed in a second area of the dust filter, wherein a voltage differential between the first and second electrodes is sufficient to cause electrostatic movement of dust from the first area to the second area. Then, the method further includes applying a negative electrical potential to the second electrode and applying a positive electrical potential to a third electrode disposed in a third area of the dust filter, wherein a voltage differential between the second and third electrodes is sufficient to cause electrostatic movement of dust from the second area to the third area, and wherein the first, second and third areas are generally linearly arranged.

Abstract: A computer system includes a computer chassis housing a processor and having a dust filter disposed in an airflow pathway through the computer chassis. A plurality of electrodes is disposed across an area of the dust filter, and a voltage source is provided having a negative terminal and a positive terminal. A controller selectively couples a first subset of electrodes to the negative terminal and selectively couples a second subset of electrodes to the positive terminal, wherein a voltage differential between the first subset of electrodes and the second subset of electrodes is sufficient to cause electrostatic movement of dust from an area of the dust filter near the first subset of electrodes to an area of the dust filter near the second subset of electrodes.

Abstract: A one-piece sponge cleans and removes coating material from the bottom edge, inside and outside surface of a photoreceptor drum. The one-piece sponge has an inner sponge section and an outer sponge section, both with internal channels to remove solvent and dissolved coating material.

Abstract: An apparatus including: a tank with a closed base end and an open top end, and adapted to contain a coating formulation; and a receiver member with at least a cone shape, where the base of the cone is attached to the interior and to the base end of the tank and adapted to receive an article for coating.

Abstract: A one-piece sponge cleans and removes coating material from the bottom edge, inside and outside surface of a photoreceptor drum. The one-piece sponge has an inner sponge section and an outer sponge section, both with internal channels to remove solvent and dissolved coating material.

Abstract: An apparatus including: a tank with a closed base end and an open top end, and adapted to contain a coating formulation; and a receiver member with at least a cone shape, where the base of the cone is attached to the interior and to the base end of the tank and adapted to receive an article for coating.

Abstract: An apparatus including: a tank with a closed base end and an open top end, and adapted to contain a coating formulation; and a receiver member with at least a cone shape, where the base of the cone is attached to the interior and to the base end of the tank and adapted to receive an article for coating.