Abstract: In some examples, a computer-readable medium storing executable code which, when executed by a processor of an electronic device, causes the processor to store a relationship between a user eye gaze pattern and first conditions of the electronic device, identify second conditions of the electronic device, determine whether the second conditions match the first conditions, and responsive to the second conditions matching the first conditions, selectively operate a display panel of the electronic device with differing display characteristics based on the user eye gaze pattern.

Abstract: An example non-transitory machine-readable medium includes instructions that, when executed by a processor, cause the processor to analyze a video captured by a computing device to detect a sequence of motion in the video, and select an audio endpoint of the computing device based on the sequence of motion.

Abstract: A structure includes a first metal structure including a first upper metal feature having a first sidewall spacer thereabout, and a first lower metal feature under the first upper metal feature. The first lower metal feature includes a sidewall devoid of the first sidewall spacer. The structure also includes a second metal structure spaced from the first metal structure. The second metal structure includes a second upper metal feature having a second sidewall spacer thereabout, and a second lower metal feature under the first upper metal feature. The second lower metal feature includes a sidewall devoid of the second sidewall spacer. A dielectric is between the first metal structure and the second metal structure. The dielectric is devoid of any voids therein, and the opening it fills has a high aspect ratio. A related method is also provided.

Abstract: In some examples, a non-transitory machine-readable medium is provided. The non-transitory machine-readable medium stores machine-readable instructions that, when executed by a processor of an electronic device, cause the processor to receive an audio signal over a time period, to detect audio events in the audio signal, to assign a distinct disruption score to each of the audio events, to calculate a running average of the disruption scores, and to cause a display device to display a quality score based on the running average, where the quality score is indicative of a perceived quality of the audio signal.

Abstract: An example device comprises: a surface-type sensor to detect a type of surface on which the device is located; a proximity sensor; and a processor. The processor is to: in response to detecting, using the surface-type sensor, that the device is located on a soft-type surface, increase noise output of the device; and, in response to detecting, using the proximity sensor, that a plurality of persons are proximal the device, decrease the noise output of the device.

Abstract: In example implementations, an apparatus is provided. The apparatus includes an output device, a radar, a memory, and a processor in communication with the output device, the radar, and the memory. The radar is to collect position data of a user relative to the apparatus. The memory is to store a threshold. The processor is to determine if the position data of the user exceeds the threshold and to adjust a setting of the output device in response to the position data of the user determined to exceed the threshold.

Abstract: An example device comprises: a camera; and a processor. The processor is to receive successive images from the camera. The processor is further to, in response to determining both that: there is a hand in a particular configuration in the successive images; and the hand in the particular configuration in the successive images is moving towards the camera: turn off the camera.

Abstract: In an embodiment, a method for producing optoelectronic semiconductor devices includes applying a temporal spacer to protect a light-exit face of an optoelectronic semiconductor chip by applying a photoresist onto a first carrier, subsequently developing the photoresist in places thereby forming the temporal spacer and subsequently mounting the optoelectronic semiconductor chip onto a side of the temporal spacer facing away from the first carrier, forming a reflector in a lateral direction directly around the optoelectronic semiconductor chip and around the temporal spacer, subsequently removing the temporal spacer so that the reflector extends beyond the light-exit face and applying an optical element onto the reflector so that a gap exists between the light-exit face and a light-entrance face of the optical element.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a microphone, a radar, a memory, and a processor in communication with the microphone, the radar, and the memory. The microphone is to receive audio signals. The radar is to collect data on users in a location. The memory is to store known body positions associated with having a side-conversation. The processor is to determine that a user is having a side-conversation based on the data collected by the radar compared to the known body positions associated with having a side-conversation and filter noise associated with the side-conversation received by the microphone from a direction associated with the user.

Abstract: The present disclosure discloses an artificial intelligence-enabled electronic furniture system with air purifier. The system comprises an assembly including a table top with a plurality of near field communication (NFC) devices placed at a predetermined position for communication between two or more devices. The system further comprises a speaker enclosure associated with the table top through a plurality of first connecting means present at the bottom of the speaker enclosure. An air purifier compartment is attached to the speaker enclosure through a plurality of second connecting means. Further, the air purifier compartment comprises a UV filter configured to inactivate airborne pathogens and microorganisms from the air. A motor mount includes an electric motor with a fan. A plurality of legs attached to the assembly and are used to support the constructed table. The system further includes a platform for controlling the air purifier using the near field communication (NFC) device.

Abstract: A defect inspection system provides an image of a surface of a hard drive media to a machine learning model that is trained to identify predefined classifications of abnormal surface patterns on the hard drive media, each of the predefined classifications being associated in system memory with a severity indicator. The defect inspection model analyzes the image and generates and output indicating that the image includes a pattern consistent with a select classification of the predefined classifications of abnormal surface patterns. When the severity indicator for the select classification satisfies a failure condition, the defect inspection system automatically implements a corrective action.

Abstract: An example non-transitory computer readable medium store a set of instructions when executed cause a controller of a computing device to determine a position of a lid portion of the computing device based on a first signal from a first sensor and determine movement of the computing device based on a second signal from a second sensor. The instructions when executed further cause the controller to transmit a command to a processor of the computing device in response to the determined position of the lid portion and the determined movement, the command to direct the processor to maintain a current operating state.

Abstract: Described is a circuit and architecture that combines phase interpolator (PI) mixer with duty cycle correction (DCC), to prevent cross contention between the tristate inverter pairs of the mixer. The control code for the p-type and n-type networks in the PI mixer are decoupled, and DCC mechanism are blended in the PI mixer code decoding scheme to enable a low latency phase interpolation and duty cycle correction. The circuit comprises a first mixer circuitry controllable by a first code; a second mixer circuitry controllable by a second code; a node coupled to outputs of the first and second mixers; and a keeper circuitry coupled to the node, wherein the first and second mixers are tri-stable mixers.

Abstract: A defect inspection system provides an image of a surface of a hard drive media to a machine learning model that is trained to identify predefined classifications of abnormal surface patterns on the hard drive media, each of the predefined classifications being associated in system memory with a severity indicator. The defect inspection model analyzes the image and generates and output indicating that the image includes a pattern consistent with a select classification of the predefined classifications of abnormal surface patterns. When the severity indicator for the select classification satisfies a failure condition, the defect inspection system automatically implements a corrective action.

Abstract: In an embodiment, a method for producing optoelectronic semiconductor devices includes applying a temporal spacer to protect a light-exit face of an optoelectronic semiconductor chip by applying a photoresist onto a first carrier, subsequently developing the photoresist in places thereby forming the temporal spacer and subsequently mounting the optoelectronic semiconductor chip onto a side of the temporal spacer facing away from the first carrier, forming a reflector in a lateral direction directly around the optoelectronic semiconductor chip and around the temporal spacer, subsequently removing the temporal spacer so that the reflector extends beyond the light-exit face and applying an optical element onto the reflector so that a gap exists between the light-exit face and a light-entrance face of the optical element.

Abstract: In example implementations, an apparatus is provided. The apparatus includes an output device, a radar, a memory, and a processor in communication with the output device, the radar, and the memory. The radar is to collect position data of a user relative to the apparatus. The memory is to store a threshold. The processor is to determine if the position data of the user exceeds the threshold and to adjust a setting of the output device in response to the position data of the user determined to exceed the threshold.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a microphone, a radar, a memory, and a processor in communication with the microphone, the radar, and the memory. The microphone is to receive audio signals. The radar is to collect data on users in a location. The memory is to store known body positions associated with having a side-conversation. The processor is to determine that a user is having a side-conversation based on the data collected by the radar compared to the known body positions associated with having a side-conversation and filter noise associated with the side-conversation received by the microphone from a direction associated with the user.

Abstract: A technique includes detecting a power transition of a processor-based system and controlling operation of a camera of the processor-based system based on the detection of the power transition. Controlling the operation of the camera includes triggering a process to disable the camera in response to detection of the power transition.