Abstract: A system and method are disclosed for detecting chronic health conditions based on data collected by a wearable device such as an activity tracker or a smart watch. Deep learning algorithms are configured to process the monitored parameter data collected by the wearable device as well as additional embedding data obtained from health records corresponding to a user account registered to the wearable device. In some examples, the input vector can also include embedding data related to social determinants data and/or demographic data. The output of the deep learning algorithms provides predictions that represent probabilities that the user of the wearable device has an underlying health condition. If any underlying health condition is detected, then the user can be notified directly, via the wearable device or an associated application or technology, or indirectly, via a primary care provider associated with the user.

Abstract: Methods and systems for managing storage is provided. One method includes initializing, a storage service user interface (“SSUI”) within a cloud manager user interface (“CMUI”), the SSUI enables a storage service operation selected from a backup operation, a restore operation and a cloning operation associated with a storage object stored at a cloud volume presented by a cloud layer, the CMUI presented by a cloud provider; transmitting, by the SSUI, an authorization token to a Software As a Service (“SaaS”) layer for authenticating deployment of the SSUI; upon validating the authorization token, initializing a SSUI agent to interface with a deployed storage micro-service layer offered by the cloud layer to execute the storage service operation; transmitting, by the SSUI, an application programming interface (API) request for the SSUI agent for executing the storage service operation; and executing, by the deployed storage micro-service layer, the storage service operation.

Abstract: A system and method are disclosed for detecting chronic health conditions based on data collected by a wearable device such as an activity tracker or a smart watch. Deep learning algorithms are configured to process the monitored parameter data collected by the wearable device as well as additional embedding data obtained from health records corresponding to a user account registered to the wearable device. In some examples, the input vector can also include embedding data related to social determinants data and/or demographic data. The output of the deep learning algorithms provides predictions that represent probabilities that the user of the wearable device has an underlying health condition. If any underlying health condition is detected, then the user can be notified directly, via the wearable device or an associated application or technology, or indirectly, via a primary care provider associated with the user.

Abstract: Systems and methods for companion-assisted thermal or power management may include a first device that may transmit metrics indicative of device condition(s) of the first device to a second device via a network maintained by the first device. The second device may receive the metrics, and determine a duty cycle for transmitting a data file between the first device and second device, according to the metrics. The transmitting device may generate a plurality of data packets according to the duty cycle, with each data packet including a portion of a payload of the data file. The transmitting device may transmit each of the plurality of data packets at the determined duty cycle to the receiving device. The receiving device may generate a corresponding data file using each of the plurality of first data packets, responsive to receiving each of the plurality of data packets.

Abstract: A first device may include one or more processors. The one or more processors may be configured to generate, after establishing a target wake time (TWT) schedule having one or more TWT parameters with a second device, a first frame requesting the second device in a wireless local area network (WLAN) to update the one or more TWT parameters of the TWT schedule. The one or more processors may be configured to wirelessly transmit, via a transceiver, the generated first frame to the second device. The one or more processors may be configured to wirelessly receive, via the transceiver from the second device, a second frame indicating whether the one or more TWT parameters have been updated.

Abstract: A system may include one or more processors. The one or more processors may be configured to obtain, from a device configured to perform communication in a wireless local area network (WLAN), a transmission (Tx) time for which the device is transmitting one or more signals during a period of time, a receive (Rx) time for which the device is receiving one or more signals during the period of time, and/or a listen time for which the device is in a listen state during the period of time. The one or more processors may be configured to estimate, based at least on the Tx time, the Rx time and the listen time, an average power consumption value of the device during the period of time. The one or more processors may be configured to control the device based at least on the average power consumption value.

Abstract: A device includes a processor configured to receive a signal from a feedback microphone of an earphone. The processor is also configured to determine, based on a change over time of sound reflection characteristics represented in the received signal, a condition corresponding to ear wax buildup or water in an ear canal.

Abstract: A water-soluble film, comprising a first water-soluble film, wherein the first water soluble film disintegrates in water within less than about 24 hours and dissolves in water within less than about 48 hours as measured by the MSTM-205 at 20° C. The disclosure provides a water-soluble film comprising a first water-soluble film that disintegrates in water within less than 24 hours and dissolves in water within less than 48 hours as measured by MSTM-205 at 20° C. The first water-soluble film optionally may be further characterized in that it does not disintegrate in water for at least about 1 hour and does not dissolve in water for at least about 1 hour as measured by MSTM-205 at 20° C. The disclosure further provides a water-soluble film comprising a first water-soluble film characterized in that the degradation and/or dissolution of the first water-soluble film is adapted to be activated by consumer handling.

Abstract: A circuit of cells used as a memory array and capable of in-memory arithmetic which includes a plurality of signed ternary processing, each signed ternary processing cell includes a first memory cell, adapted to hold a first digital value, a second memory cell, adapted to hold a second digital value, wherein a binary combination of the first digital value and the second digital value establishes a first signed ternary operand, a signed ternary input forming a second signed ternary operand, and a signed ternary output, wherein the signed ternary output represents a signed multiplication of the first signed ternary operand and the second signed ternary operand, a sense circuit adapted to output a subtraction result.

Abstract: Methods for providing a location of an object or objects of interest that may be performed by a processor of a computing device may include generating a map of an environment around the computing device by a first simultaneous location and mapping (SLAM) operation using information received from the optical sensor, identifying an object of interest in the environment of the computing device by an object recognition operation using information received from the optical sensor, determining a location of the object or objects of interest in the environment, and presenting the determined location of the object or objects of interest in the environment in response to a trigger event correlated to the object or objects of interest.

Abstract: In some aspects, a user device may detect an authentication event associated with unlocking the user device. The user device may determine, based at least in part on sensor data from a sensor of the user device, an environmental context of the user device. The user device may select, from a plurality of authentication functions of the user device, an authentication function based at least in part on the environmental context of the user device. The user device may activate an authentication component that is associated with the authentication function to authenticate a user in association with unlocking the user device. Numerous other aspects are provided.

Abstract: In one example, a method comprises: receiving an indication that an object is within a distance from an array of ultrasonic transducers; based on the indication, configuring a subset of the array of ultrasonic transducers to perform an ultrasonic sensing operation on the object; obtaining, from the subset of the array of ultrasonic transducers, an output of the ultrasonic sensing operation; and performing an action based on the output of the ultrasonic sensing operation.

Abstract: A water-soluble film, comprising a first water-soluble film, wherein the first water soluble film disintegrates in water within less than about 24 hours and dissolves in water within less than about 48 hours as measured by the MSTM-205 at 20° C. The disclosure provides a water-soluble film comprising a first water-soluble film that disintegrates in water within less than 24 hours and dissolves in water within less than 48 hours as measured by MSTM-205 at 20° C. The first water-soluble film optionally may be further characterized in that it does not disintegrate in water for at least about 1 hour and does not dissolve in water for at least about 1 hour as measured by MSTM-205 at 20° C. The disclosure further provides a water-soluble film comprising a first water-soluble film characterized in that the degradation and/or dissolution of the first water-soluble film is adapted to be activated by consumer handling.

Abstract: Methods and systems for managing storage is provided. One method includes initializing, a storage service user interface (“SSUI”) within a cloud manager user interface (“CMUI”), the SSUI enables a storage service operation selected from a backup operation, a restore operation and a cloning operation associated with a storage object stored at a cloud volume presented by a cloud layer, the CMUI presented by a cloud provider; transmitting, by the SSUI, an authorization token to a Software As a Service (“SaaS”) layer for authenticating deployment of the SSUI; upon validating the authorization token, initializing a SSUI agent to interface with a deployed storage micro-service layer offered by the cloud layer to execute the storage service operation; transmitting, by the SSUI, an application programming interface (API) request for the SSUI agent for executing the storage service operation; and executing, by the deployed storage micro-service layer, the storage service operation.

Abstract: A system and method are disclosed for detecting chronic health conditions based on data collected by a wearable device such as an activity tracker or a smart watch. Deep learning algorithms are configured to process the monitored parameter data collected by the wearable device as well as additional embedding data obtained from health records corresponding to a user account registered to the wearable device. In some examples, the input vector can also include embedding data related to social determinants data and/or demographic data. The output of the deep learning algorithms provides predictions that represent probabilities that the user of the wearable device has an underlying health condition. If any underlying health condition is detected, then the user can be notified directly, via the wearable device or an associated application or technology, or indirectly, via a primary care provider associated with the user.

Abstract: In one example, a method comprises: receiving an indication that an object is within a distance from an array of ultrasonic transducers; based on the indication, configuring a subset of the array of ultrasonic transducers to perform an ultrasonic sensing operation on the object; obtaining, from the subset of the array of ultrasonic transducers, an output of the ultrasonic sensing operation; and performing an action based on the output of the ultrasonic sensing operation.

Abstract: Methods and systems for managing storage is provided. One method includes initializing, a storage service user interface (“SSUI”) within a cloud manager user interface (“CMUI”), the SSUI enables a storage service operation selected from a backup operation, a restore operation and a cloning operation associated with a storage object stored at a cloud volume presented by a cloud layer, the CMUI presented by a cloud provider; transmitting, by the SSUI, an authorization token to a Software As a Service (“SaaS”) layer for authenticating deployment of the SSUI; upon validating the authorization token, initializing a SSUI agent to interface with a deployed storage micro-service layer offered by the cloud layer to execute the storage service operation; transmitting, by the SSUI, an application programming interface (API) request for the SSUI agent for executing the storage service operation; and executing, by the deployed storage micro-service layer, the storage service operation.

Abstract: A laser-sustained plasma (LSP) light source with vortex gas flow is disclosed. The LSP source includes a gas containment structure for containing a gas, one or more gas inlets configured to flow gas into the gas containment structure, and one or more gas outlets configured to flow gas out of the gas containment structure. The one or more gas inlets and the one or more gas outlets are arranged to generate a vortex gas flow within the gas containment structure. The LSP source also includes a laser pump source configured to generate an optical pump to sustain a plasma in a region of the gas containment structure within an inner gas flow within the vortex gas flow. The LSP source includes a light collector element configured to collect at least a portion of broadband light emitted from the plasma.

Abstract: A memory cell is disclosed which includes a semiconductor layer, a first electrode coupled to the semiconductor layer, a second electrode coupled to the semiconductor layer, wherein the first and second electrodes are separated from one another along a first axis and wherein the semiconductor layer extends beyond the first axis along a second axis substantially perpendicular to the first axis, thereby forming a first wing, a third electrode separated from the semiconductor layer by an insulating layer, a first magnetic tunnel junction (MTJ) disposed on the first wing, and a first read electrode coupled to the first MTJ.

Abstract: A plasma lamp for use in a broadband plasma source of an inspection tool is disclosed. The plasma lamp includes a plasma bulb configured to contain a gas and generate a plasma within the plasma bulb. The plasma bulb is formed from a material at least partially transparent to illumination from a pump laser and at least a portion of broadband radiation emitted by the plasma. The plasma bulb includes a conical pocket. The conical pocket is configured to disrupt a plume rising from the plasma.