Abstract: In examples, an electronic device comprises a component, communication port, and a controller coupled to the component and the communication port. The controller is to store operational data of the component during operation of the electronic device. The controller is to provide the operational data to a peripheral device coupled to the electronic device in response to the electronic device establishing a wired connection to the peripheral device via the communication port, the operational data secured by a security credential of the controller. The controller is to receive a repair command from the peripheral device based on the operational data. The controller is to correct a malfunction of the component based on the repair command.

Abstract: Examples of electronic devices are described herein. In some examples, an electronic device includes a wireless charger. In some examples, the electronic device includes a controller to cause the electronic device to enter a first power state in response to determining that a remote device is placed on the wireless charger. In some examples, the controller is to cause the electronic device to enter a second power state in response to determining that the remote device is removed from the wireless charger.

Abstract: Examples of host devices are described herein. In some examples, a host device may include a tracking device to receive user account information. In some examples, the tracking device may receive user account information wirelessly. In some examples, the host device includes a basic input/output system (BIOS) to store the user account information delivered from the tracking device.

Abstract: In some examples, an electronic device comprises a wireless transceiver to transmit a packet and a processor coupled to the wireless transceiver. The processor is to update a running average of a radiation level over a time period. The running average is based on a quantity of packets transmitted by the wireless transceiver during the time period and a radiation level associated with the quantity of packets. The processor is to determine whether the running average exceeds a threshold and to control transmission power for the packet based on the determination and based on a destination of the packet.

Abstract: Examples of electronic devices are described herein. In some examples, an electronic device includes a tracking device. In some examples, the electronic device includes a controller. In some examples, the controller may be to detect a power condition of the electronic device. In some examples, the controller may be to set a timer to deactivate the tracking device in response to detecting the power condition.

Abstract: Examples of electronic devices are described herein. In some examples, an electronic device includes a transmitter. In some examples, the transmitter may transmit a first beacon and a second beacon. In some examples, the first beacon may be associated with a first account. In some examples, the second beacon may be associated with a second account. In some examples, the first account includes a different beacon control privilege relative to the second account.

Abstract: In some examples, the disclosure describes device that includes a motion sensor device, a transmitter device, and a processor to: determine a vibration pattern of the device based on data received from the motion sensor device, separate the vibration pattern into a user vibration pattern and external vibration pattern, and alter a power level of the transmitter based on the user vibration pattern.

Abstract: Examples of device separation monitors are described herein. In some examples, a first electronic device may include a memory. In some examples, the first electronic device may include a processor in electronic communication with the memory. In some examples, the processor may monitor for separation from a second electronic device based on a geographic location detection zone. In some examples, the processor may detect a zone type switch event. In some examples, the processor may monitor for separation from the second electronic device based on a wireless detection zone in response to detecting the zone type switch event.

Abstract: In some examples, the disclosure describes a device that includes a radio device, a transmitter, and a processor to: instruct the radio device to perform a radio scan of an area, compare the radio scan to a previous radio scan by the radio device, determine an acceleration of the device based on the comparison, and activate the transmitter in response to the acceleration being below a threshold acceleration.

Abstract: Example electronic devices that may be implemented to generate an audio output via a resonance are disclosed. A received resonance sample of an audio output is categorized with a neural network to obtain an inference profile. The received resonance sample corresponding with an equalization setting. The equalization setting for the audio output is adjusted based on the inference profile.

Abstract: In some examples, the disclosure describes a device that includes a radio device and a processor to: instruct the radio device to perform a radio scan of an area, compare the radio scan to a previous radio scan by the radio device, determine that the device has moved from a first location to a second location based on the comparison, and execute a global positioning system (GPS) request to identify the second location.

Abstract: Example implementations relate to alerts for virtual meetings. In some examples, a computing device can include a processor, where the processor is to in response to a virtual meeting having been initiated, determine whether a graphical user interface of the virtual meeting is minimized in a desktop environment and whether communication has occurred in the virtual meeting, and in response to communication having occurred and the graphical user interface being minimized, cause an alert to be displayed on a display panel.

Abstract: In some examples, the disclosure describes a device, comprising: a processor, and a non-transitory memory resource storing machine-readable instructions stored thereon that, when executed, cause the processor to: activate a dynamic power reduction mode for a device in response to identifying the device is in a first power state associated with a first account, and deactivate the dynamic power reduction mode for the device in response to identifying the device is in a second power state associated with a second account.

Abstract: An example computing device includes a power supply. The computing device also includes a storage device to receive power from the power supply during an error collection operation. The storage device is also to receive power via radio waves from a client device during a diagnostic operation. The computing device further includes a controller to receive error information associated with a component of the computing device. The controller is also to store the error information in the storage device during the error collection operation.

Abstract: In some examples, a computing device can include a component device, a battery, and a memory resource storing instructions to cause a processing resource to determine an operating mode of the computing device, in response to the operating mode being a charging mode, cause the battery to charge, in response to the operating mode being a system battery mode, cause the battery to power the computing device, and in response to the operating mode being a battery reserve mode, cause the battery to power the component device in absence of powering other components of the computing device.

Abstract: In some examples, the disclosure describes a device, comprising: a processor, and a non-transitory memory resource storing machine-readable instructions stored thereon that, when executed, cause the processor to: activate a dynamic power reduction mode for a device in response to identifying the device is in a first power state associated with a first account, and deactivate the dynamic power reduction mode for the device in response to identifying the device is in a second power state associated with a second account.

Abstract: In one example in accordance with the present disclosure, an electronic device is described. An example electronic device includes a pattern identifier to identify a pattern of activity and inactivity of the electronic device. An example computing also includes a scheduler to determine (1) a first interval wherein the electronic device is predicted to be inactive and charging of a battery of the electronic device is to be capped at a first level and (2) a second interval wherein the electronic device is predicted to be active and charging of the battery is to be capped at a second level. The example electronic device also includes a battery controller to regulate battery charging based on a schedule of the first interval and the second interval.

Abstract: An example computing device is provided. The computing device includes an interface to connect to a headphone and a processor communicatively coupled to the interface. The processor is to execute an application to hos an audio call, determine a headphone-only audio option is enabled for the application, detect that the headphone is connected to the interface, and allow a participant to join the audio call based on detection of the headphone connected to the interface.

Abstract: Example implementations relate to alerts for virtual meetings. In some examples, a computing device can include a processor, where the processor is to in response to a virtual meeting having been initiated, determine whether a graphical user interface of the virtual meeting is minimized in a desktop environment and whether communication has occurred in the virtual meeting, and in response to communication having occurred and the graphical user interface being minimized, cause an alert to be displayed on a display panel.

Abstract: In some examples, an electronic device includes an image sensor to capture an image of a scene. In some examples, the electronic device includes a machine learning circuit to execute a machine learning model on the image of the scene to determine a shutter activation parameter. In some examples, the machine learning circuit is to activate a shutter of the image sensor in response to determining that the shutter activation parameter satisfies a condition.