Abstract: This disclosure enables various technologies for tracking various objects (e.g., mammals, animals, humans, pets) within various defined areas (e.g., rooms, apartments, residences, vehicles, tents) to determine whether those objects satisfy or do not satisfy various criteria, signatures, or thresholds, which may relate to health, safety, or security of those objects within those defined areas. These technologies may be enabled via various radars (e.g., time-of-flight radars, Doppler radars) positioned within those defined areas to track those objects therein. For example, some of such radars may operate in a Ku-band inclusively between about 12 GHz and about 18 GHz, a K-band inclusively between about 18 GHz and about 27 GHz, or a Ka-band inclusively between about 26.5 GHz and about 40 GHz, each of which has been unexpectedly found to be technologically beneficial for tracking those objects within those defined areas.

Abstract: An encapsulated LED engine including a circuit board, one or more of LED arrays, each of the one or more LED arrays mounted on the circuit board, a pre-molded encapsulation layer positioned over and adhered to the circuit board, a frame positioned over the one or more LED arrays and secured to the circuit board, a metal sheet positioned between the pre-molded encapsulation layer and the frame, wherein the pre-molded encapsulation layer includes a plurality of lenses positioned over a plurality of LEDs on each of the one or more LED arrays, and wherein the metal sheet includes a plurality of apertures through which the plurality of lenses on the pre-molded encapsulation layer extend through.

Abstract: There are provided systems and methods for determining processing weights of rule variables for rule processing optimization. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules for decision-making of data including real-time data in production computing environments. Rules may correspond to coded statements that perform an automated decision-making service for the computing services and platforms of the service provider. When writing rules, different variables for data objects may be utilized, where each variable may perform a different operation and/or utilize a different operation for fetching and retrieving data used during rule processing. Each variable may therefore have a different data processing weights based on processing requirements of the data. Thus, optimization of rule authoring may be performed by mapping variables to other similar variables and showing a processing weight of each variable.

Abstract: System and computer-implemented method for migrating virtual computing instances from source computer networks to target computer networks uses a delta sum of a plurality of the data transfer metrics collected, during a current time window, from at least one of a source computer network and a target computer network during a replication process of copying data of a virtual computing instance from the source computer network to the target computer network. The delta sum is used to derive a current data transfer rate, which is used to compute a first estimation of transfer completion time using a moving average rate, and to compute a second estimation of transfer completion time using a weighted moving average rate with weights defined by an alpha value. The alpha value is selectively adjusted for a subsequent estimation of transfer completion time using divergence of the first and second estimations of transfer completion time.

Abstract: Present disclosure relates to a method and a user equipment (UE) for enhancing multimodal input content. The UE obtains text-blocks associated with multimodal input and determines a plurality of features for each of the text-blocks using a natural language processing (NLP) model and a neural network (NN) model. Further, the UE identifies usage pattern of the plurality of features based on historic data associated with the usage of the plurality of features using NN model. Thereafter, the UE generates personalized text for each of the textblocks based on the plurality of features and usage pattern. The UE inserts personalized emoticons based on context of text-blocks and lingo of each word using user lingo database. Thus, the UE eliminates manual correction of texts and enhances the readability of message/text entered by user.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may establish a communication connection with a serving cell associated with a first discontinuous reception (DRX) cycle configuration, determine, based at least in part on at least one of a first on duration of a first DRX cycle indicated by the first DRX cycle configuration or a type of traffic of one or more communications received during the first DRX cycle, an autonomous measurement gap associated with a neighboring cell, and perform a measurement of the neighboring cell during the autonomous measurement gap. Numerous other aspects are provided.

Abstract: A steering wheel includes a steering wheel body, an airbag module, and a damper unit-4 that connects the steering wheel body and the airbag module-3. The airbag module is mounted to the steering wheel body via the damper unit facing in a Z-axis first direction that is an example of a first direction. The damper unit-4 is configured to apply a force on the airbag module in a state where the airbag module is mounted on the steering wheel body in a direction of pushing up the airbag module in a direction that intersects with the Z-axis first direction.

Abstract: A system and method of performing deep cell body segmentation on a biological sample is provided. The method includes receiving a first and a second stained image. The first image is processed using a trained machine learned model that outputs locations of a plurality of cell nuclei in the first stained image. Seed points are then determined based on the locations of the plurality of cell nuclei. The second image is then processed using the seed points to determine a plurality of cell membranes using a watershed segmentation. The second image is then post-processed and an output image is produced. The output image is then analyzed and gene sequencing is performed.

Abstract: A method for intelligently reading displayed contents by an electronic device is provided. The method includes obtaining a screen representation based on a plurality of contents displayed on a screen of the electronic device. The method includes extracting a plurality of insights comprising at least one of intent, importance, emotion, sound representation and information sequence of the plurality of contents from the plurality of contents based on the screen representation. The method includes generating audio emulating the extracted plurality of insights.

Abstract: An imaging system includes a microscope to generate magnified images of regions of interest of a tissue sample, a camera to capture and store the magnified images, and a controller. The controller is configured to, for each magnification level in a sequence of increasing magnification levels, image one or more regions of interest of the tissue sample at the current magnification level. For each region of interest, data is generated defining one or more refined regions of interest based on the magnified image of the region of interest of the tissue sample at the current magnification level. Each refined region of interest corresponds to a proper subset of the tissue sample, and the refined regions of interest of the tissue sample provide the regions of interest to be imaged at a next magnification level from the sequence of increasing magnification levels.

Abstract: In various examples, hybrid models for determining intents in conversational AI systems and applications are disclosed. Systems and methods are disclosed that use a machine learning model(s) and a data file(s) that associates intents with one another (e.g., using a tree-like structure) in order to determine a final intent associated with text. For example, the text may initially be processed using the machine learning model(s) (e.g., a first machine learning model) in order to determine a first intent associated with the text. The data file(s) may then be used to determine information (e.g., anchors) for one or more second intents (e.g., one or more sub-intents) that are related to the first intent. The text and the information may then be processed using the machine learning model(s) (e.g., a second machine learning model) to determine a second intent, from the one or more second intents, that is associated with the text.

Abstract: Certain aspects of the present disclosure provide techniques for automatically detecting and classifying tumor regions in a tissue slide. The method generally includes obtaining a digitized tissue slide from a tissue slide database and determining, based on output from a tissue classification module, a type of tissue of shown in the digitized tissue slide. The method further includes determining, based on output from a tumor classification model for the type of tissue, a region of interest (ROI) of the digitized tissue slide and generating a classified slide showing the ROI of the digitized tissue slide and an estimated diameter of the ROI. The method further includes displaying on an image display unit, the classified slide and user interface (UI) elements enabling a pathologist to enter input related to the classified slide.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a measurement configuration for a plurality of cells. The UE may perform measurement of each of the plurality of cells in an order, wherein the order is based at least in part on a priority, wherein the priority is based at least in part on an aggregated downlink bandwidth. The UE may transmit a measurement report based at least in part on the order. Numerous other aspects are described.

Abstract: Systems and methods provide for managing faulting network devices. A first network device can receive an error. The first network device can generate one or more frames including data indicative of the error. The first network device can broadcast the one or more frames to one or more neighboring network devices. It may be determined that the first network device is inaccessible. The first data can be retrieved and presented from a second network device among the one or more neighboring network devices. In some embodiments, a network management system can utilize the first data to generate a machine learning model that classifies whether network devices are instances of network devices designated for a Return Merchandise Authorization (RMA) process. In some embodiments, the network management system can apply the first data to a machine learning classifier to determine whether to initiate the RMA process for the first network device.

Abstract: PROBLEM Provided is a vehicle steering wheel device enabling miniaturizing an airbag module and also a miniaturized horn pad portion while ensuring a damping effect comparable to a conventional damping effect. RESOLUTION MEANS Each damper 11 has a straight pin, a grip 19 provided at a first end is engaged to a central cored bar 8 through rotate operation around the pin axis, and a connecting tip end part 12a that connects to the module housing 6 is provided at the other end. A plurality of insertion holes through which the connecting tip end part is inserted are arranged in the module housing surrounding the outer edge of the inflator 7, and the connecting tip end part is formed with a constricted portion having an outer diameter smaller than the hole diameter of the insertion hole, and the connecting tip end part is connected to the module housing via a set spring supported by the module housing so as to engage the constriction.

Abstract: There are provided systems and methods for automated tuning of data processing rules based on region-specific requirements. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules for decision-making of data including real-time data in production computing environments. Rules may correspond to coded statements that perform an automated decision-making service for the computing services and platforms of the service provider. When writing rules, different variables and conditions may be utilized, where each variable and condition may cause a rule output or action. However, conditions and other components of rules may be different for different regions and thus, regional policies may have requirements for rules. The service provider may determine the regional policies when a rule is to be deployed in a region. Thereafter, the service provider may adjust rules specifically for each region.

Abstract: An illustrated view of an exemplary nail and foot care apparatus for foot maintenance and treatment is presented. The footcare apparatus 100 comprises a support stand 200, a footrest 300, a tray 400, a storage box 510, one or more battery banks 520, a light 530, a fan 540, a mobile holder 423. The footrest, the tray, the storage box, the battery banks, the light, and the fan are configured to detachably coupled together and rest on the adjustable, foldable support stand. The footcare apparatus provides convenient access to foot and toes part, without the help of others. It can be used for treatment of the foot and leg of a patient at hospital and clinics. Enables easy cleaning of the clippings, treatment wastes with detachable tray. It is provided with number of storage options during and after use, to keep the pedicure tools, cosmetics and electronic gadgets.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model to segment magnified images of tissue samples. The method includes obtaining a magnified image of a tissue sample; processing an input comprising: the image, features derived from the image, or both, in accordance with current values of model parameters of a machine learning model to generate an automatic segmentation of the image into a plurality of tissue classes; providing, to a user through a user interface, an indication of: (i) the image, and (ii) the automatic segmentation of the image; determining an edited segmentation of the image, comprising applying modifications specified by the user to the automatic segmentation of the image; and determining updated values of the model parameters of the machine learning model based the edited segmentation of the image.

Abstract: Systems and methods for providing an automated quality assurance framework for infrastructure as code (“IaC”) implementations are provided. Pull requests with proposed change to existing IaC source code (“changed code”) are received from user devices, each associated with either a service enablement team member or an applications development team member. Team specific versions of the quality assurance framework are automatically triggered for the changed code which require successful passage through multiple modules in a successive manner before automatically being merged into the existing IaC source code.

Abstract: The present disclosure pertains to an improved computing architecture allowing for better utilization of CPU, memory, network bandwidth, and other computing resources, particularly within the context of a decision service system that handles client requests. These methods and systems may be directed to the evaluation and use of a partial response from a decision service system when the generation of a full response by the decision service system is predicted to take longer than what is expected.