Abstract: A component tracking system includes a plurality of devices that each include a device component monitoring subsystem that monitors for and records the addition and/or removal of device components to/from that device. A device component manager system that is coupled to each of the plurality of devices identifies, via a recording by a first device monitoring subsystem in a first device included in the plurality of devices, the removal of a first device component from the first device. The device component manager system then determines, via a recording by a second device component monitoring subsystem in a second device included in the plurality of devices, that the first device component has been added to the second device within a time period and, in response, the device component manager device prevents a removed first device component alarm.

Abstract: A headphone may include two transducers, two cushions, one or more sensors, and an external microphone to measure an amount of noise in the external environment. The headphone may include a voice microphone to enable a user to participate in a call. Each cushion may have an associated motor to adjust a size of each cushion. A circuit located in the headphone may include a processor to receive sensor data from the sensors. The sensor data may be analyzed using machine learning to determine an activity in which the user is engaged and a location in which the headphones are located. The processor automatically adjusts aural characteristics of the headphone, including a size of each cushion, based at least in part on the activity, the location, the amount of noise present, a type of signal being sent to the transducers, and whether the user is participating in a call.

Abstract: For example, a headphone includes a headband, a first housing with a first cushion and a first size selector, and a second housing with a second cushion and a second size selector. A linkage connects the first size selector to the second size selector. If the linkage is engaged, moving the first size selector in a first direction causes the first cushion and the second cushion to simultaneously increase from a first size to a second size. Moving the first size selector in a second direction causes the first cushion and the second cushion to simultaneously decrease from the second size to the first size. In the first size, the first and second cushion have supra-aural properties. In the second size, the first and the second cushion have circum-aural properties. If the linkage is disengaged, a size of the first cushion and the second cushion may be independently adjusted.

Abstract: For example, a headphone includes a headband, a first housing with a first cushion and a first size selector, and a second housing with a second cushion and a second size selector. A linkage connects the first size selector to the second size selector. If the linkage is engaged, moving the first size selector in a first direction causes the first cushion and the second cushion to simultaneously increase from a first size to a second size. Moving the first size selector in a second direction causes the first cushion and the second cushion to simultaneously decrease from the second size to the first size. In the first size, the first and second cushion have supra-aural properties. In the second size, the first and the second cushion have circum-aural properties. If the linkage is disengaged, a size of the first cushion and the second cushion may be independently adjusted.

Abstract: Rechargeable batteries come in many different shapes and sizes. A rechargeable battery typically contains a group of one or more electrochemical cells. These cells degrade over time and use. Disclosed is a system and method for managing a rechargeable battery based on historical charging data. In one embodiment, the method includes storing a 1st timestamp in memory of a mobile information handling system, wherein the 1st timestamp identifies a time of day in which a 1st cycle for charging a battery started. A 2nd timestamp is also stored in the memory, wherein the 2nd timestamp identifies a time of day in which a 2nd cycle for charging the battery started. Thereafter an integer N based is generated on the 1st and 2nd timestamps, wherein N defines a recommended number of consecutive day(s) for charging the battery.

Abstract: In some examples, after a client system encounters a problem, a technical support specialist may connect to the client system via a console. The console may display a graphical representation of a client system that includes a plurality of components. The console may execute a machine learning module to determine one or more potential solutions to the particular problem. Each solution of the one or more solutions may correspond to a previously resolved problem that is similar to the particular problem and may have an associated confidence level determined based on: a similarity of the particular problem to the previously resolved problem, a similarity of the plurality of components to a second plurality of components included in a second client system associated with the previously resolved problem, a similarity of a network topology of the client system to a second network topology of the second client system.

Abstract: In some examples, after a client system encounters a problem, a technical support specialist may connect to the client system via a console. The console may display a graphical representation of a client system that includes a plurality of components. The console may execute a machine learning module to determine one or more potential solutions to the particular problem. Each solution of the one or more solutions may correspond to a previously resolved problem that is similar to the particular problem and may have an associated confidence level determined based on: a similarity of the particular problem to the previously resolved problem, a similarity of the plurality of components to a second plurality of components included in a second client system associated with the previously resolved problem, a similarity of a network topology of the client system to a second network topology of the second client system.

Abstract: An information handling system (IHS) may include a battery management unit (BMU) that remains operational when the IHS in general is in a powered off state. A processor is operational when the IHS in general is in a powered on state but not when the IHS in general is in a powered off state. The BMU is configured to obtain charge and discharge pattern information while the IHS in general is in the powered off state, to transmit the charge and discharge pattern information to the processor when the IHS in general is in the powered on state, to receive user control information from the processor, and to control charge and discharge of a battery according to the user control information when the IHS in general is in the powered off state.

Abstract: Rechargeable batteries come in many different shapes and sizes. A rechargeable battery typically contains a group of one or more electrochemical cells. These cells degrade over time and use. Disclosed is a system and method for managing a rechargeable battery based on historical charging data. In one embodiment, the method includes storing a 1st timestamp in memory of a mobile information handling system, wherein the 1st timestamp identifies a time of day in which a 1st cycle for charging a battery started. A 2nd timestamp is also stored in the memory, wherein the 2nd timestamp identifies a time of day in which a 2nd cycle for charging the battery started. Thereafter an integer N based is generated on the 1st and 2nd timestamps, wherein N defines a recommended number of consecutive day(s) for charging the battery.

Abstract: A charge/discharge pattern battery training system includes a battery subsystem connected to a battery charging subsystem, and a battery charging determination engine coupled to the battery charging subsystem. The battery charging determination engine monitors a plurality of charge/discharge cycles performed by the battery subsystem and, based on the plurality of charge/discharge cycles performed by the battery subsystem, identifies a first charge/discharge pattern exhibited by the battery subsystem. The battery charging determination engine then determines a charging schedule that will cause the battery subsystem to exhibit a second charge/discharge pattern that is different than the first charge/discharge pattern, and applies the charging schedule via the battery charging subsystem to the battery subsystem that causes the battery subsystem to exhibit the second charge/discharge pattern.