Abstract: Embodiments of the present disclosure are related a method for wireless communication. The method comprises receiving by a base station (BS), signals from a plurality of user equipment's (UEs) and obtaining channel estimates associated with each UE using the received signals. Next, calculating a first metric for each UE, and each of the plurality of beams associated with the BS using the obtained channel estimates and determining one or more best beams from a plurality of beams associated with the BS, and a second metric for each UE using the first metric. Further, segregating the UEs into groups based on the determined one or more best beams and the second metric. Thereafter, performing beamforming on control channel based on the one or more best beams, and performing allocation of at least one of resources, modulation and coding scheme for a control channel based on the segregated groups.

Abstract: An embodiment performs, by an attribute value substitution engine, key-value extraction on infrastructure as code. The embodiment assigns, by the attribute value substitution engine, an attribute in a plurality of attributes to a value in the extracted key-value. The embodiment computes, by the attribute value substitution engine, a plurality of similarities between the plurality of attributes and a cloud resource. The embodiment groups, based on the plurality of similarities, the plurality of attributes into a group of attributes. The embodiment substitutes, by the attribute value substitution engine, the attribute with another attribute, the attribute and the another attribute belonging to the group of attributes.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a client may select, based at least in part on a classifier, an autoencoder of a set of autoencoders to be used for encoding an observed wireless communication vector to generate a latent vector. The client may transmit the latent vector and an indication of the autoencoder. Numerous other aspects are provided.

Abstract: Embodiments of systems and methods to provide a firmware update to devices configured in a redundant configuration in an Information Handling System (IHS) are disclosed. In an illustrative, non-limiting embodiment, an IHS may include computer-executable instructions to receive a firmware update image associated with the storage unit, receive an indication that the storage unit requires a reboot of the IHS, and when the storage unit is experiencing minimal I/O usage, reset the storage unit using the firmware update image. The firmware update image is configured to perform rebootless firmware updates on the storage unit.

Abstract: A memory cell can include a top lamina layer, a bottom lamina layer, and a phase change material (PCM) layer between the top lamina layer and the bottom lamina layer. The PCM layer can have a top surface in direct contact with the top lamina layer and a bottom surface in direct contact with the bottom lamina layer. The top surface of the PCM layer and the bottom surface of the PCM layer can have a structurally stabilizing width ratio.

Abstract: A method may include: a processing application receiving an instruction, identifying a destination ledgering platform for the instruction, re-formatting, the instruction to generate a posting, and routing the posting to a messaging ingestion platform; a messaging ingestion platform program routing, the posting to the destination ledgering platform, wherein the destination ledgering platform is configured to consume the posting, update appropriate account balances, and publish the posting and the account balances to a messaging queue; a messaging consumption platform computer program receiving the posting and the account balances from the messaging queue, dynamically consuming the posting, retrieving a consumer profile, re-formatting the posting based on the consumer profile, generating a new message for the re-formatted posting, and publishing the new message to a messaging queue, wherein a consuming application is configured to consume the new message.

Abstract: Systems/techniques that facilitate generation of model suitability coefficients are provided. In various embodiments, a system can access a model trained on a training dataset, and the system can compute a coefficient indicating whether the model is suitable for deployment on a target dataset, based on analyzing activation maps associated with the model. In some cases, the system can: train a generative adversarial network (GAN) to learn a distribution of training activation maps produced by the model; generate a set of target activation maps of the model, by feeding samples from the target dataset to the model; cause a generator of the GAN to generate synthetic training activation maps from the learned distribution of training activation maps; iteratively perturb inputs of the generator until distances between the synthetic training activation maps and the target activation maps are minimized; and aggregate the minimized distances to form the coefficient.

Abstract: A sliced router decomposes a router into a plurality of slices. Each slice has a subset of the input and output ports of the router. One or more of the slices may communicate with a network access point. Adjacent slices communicate with each other. In some example embodiments, there are dedicated physical channels between each slice and each adjacent slice for traffic coming in on or going out on ports of other slices. Within a slice, traffic may be arbitrated onto upstream or downstream channels going to the same output port. Each slice contains one or more crossbars, allowing data received on any input port to be routed to any output port of the slice. The crossbar of each slice is substantially smaller than the crossbar that would be used by a unified router.

Abstract: Features from historical transaction and customer data of a financial institution are calculated and/or extracted. Each customer is assigned to a given profitability cluster within each interval of time over a historical period of time based on the corresponding features. A self-supervised machine learning model is trained on the features to predict the clusters in a future interval of time. Features for a most-recent past interval of time are provided as input to the model and the model returns a predicted cluster for a given customer in a future interval of time. When the customer-assigned cluster in the most-recent past interval of time is a higher prioritized cluster than the predicted cluster for the future interval of time, a system of a financial institution (FI) is notified to take one or more mitigating in an attempt to prevent customer churn with the FI.

Abstract: A multi-core processing system, such as a system-on-chip (SOC), is configured to use interrupts when sending processed data from a source processing core to a destination processing core. The source processing core may delay sending interrupts, but still keep processing data, when an acknowledgment for a previous interrupt is not received from an inter-processor communication controller. When the acknowledgment is received, the source processing core may resume sending an interrupt for the next chunk of data processed. As such, not all chunks of data may have associated interrupts.

Abstract: This disclosure provides methods, devices and systems for channel sounding for wireless communications. Some implementations more specifically relate to scheduling sounding reference signal (SRS) resource sets for wireless devices having more than 4 receive (RX) antenna ports. In some implementations, a base station may determine an antenna switching capability of a user equipment (UE). The antenna switching capability indicates a number of RX antenna ports of the UE. The base station schedules a number of SRS resource sets for the UE based at least in part on the number of RX antenna ports in excess of four. For example, the number of RX antenna ports may be equal to 8. As another example, the number of RX antenna ports may be equal to 6. The base station further receives, from the UE, uplink transmissions of one or more SRS resources for each of the scheduled SRS resource sets.

Abstract: An experimentation platform controls testing of features by an application server. Based on a user identifier, the experimentation platform determines which feature should be provided, and the application server provides the corresponding version of a user interface. If the user behavior data shows that using a tested feature results in an improvement, the tested feature will be adopted. To determine whether or not an improvement is observed, a statistically significant amount of data is gathered. The experimentation platform gathers data regarding user behavior for the feature versions and, in response, adjusts the frequency at which each version is served. Providing the proposed version to an increased percentage of users decreases the total number of page serves required to gather statistically significant data. The experimentation platform may provide an updated projected time to completion of testing based on the changed percentage of users receiving the proposed version.

Abstract: Systems and methods are provided for training and using a deep neural network with adaptively trained off-ramps for an early exit at an intermediate representation layer. The training includes, for respective intermediate representation layers of a sequence of intermediate representation layers, predicting a label based on the training data and comparing against a correct label. The training further includes generating a confidence value associated with the predicted label. The confidence value is based on optimizing an objective function that includes a weighted entropy of a probability distribution of the likelihood, weighted based on whether previous intermediate representation layer has accurately predicted the label. Use of the weighted entropy provides the training with a focus on predicting labels that the previous intermediate representation layers has performed poorly and not labels that have existed before the intermediate representation layer being trained.

Abstract: A method includes receiving a request. The request is encrypted to generate an encrypted request. The encrypted request includes a version information for a first software package deployed in a standalone computing system, and a region information and a hardware information for the standalone computing system. The encrypted request is sent to a respective regional data center of a cloud computing system based on the region information of the first software package. A second software package is identified among software packages stored in the respective regional data center. The second software package corresponds to the hardware information of the first software package. The version information of the first software package is compared to a version information of the second software package. In response to identifying that the second software package is more recent than the first software package, the second software package is deployed to the standalone computing system.

Abstract: Systems and methods for enhancing visualization and documentation of fibroid quantity, size, and location with respect to a uterus and endometrium in ultrasound imaging are provided. The method includes receiving, by at least one processor, an ultrasound volume including ultrasound image data of a region of interest that includes a uterus. The method includes automatically segmenting, by the at least one processor, the uterus and an endometrium in the ultrasound volume. The method includes segmenting one or more fibroids in the ultrasound image data. The method includes generating a classification of each of the one or more fibroids based on a location of each of the one or more fibroids with respect to the endometrium and the uterus. The method includes causing, by the at least one processor, a display system to present at least one image identifying the segmented uterus, endometrium, and one or more fibroids.

Abstract: Embodiments of the present disclosure are related a method for wireless communication. The method comprises receiving by a base station (BS), signals from a plurality of user equipment's (UEs) and obtaining channel estimates associated with each UE using the received signals. Next, calculating a first metric for each UE, and each of the plurality of beams associated with the BS using the obtained channel estimates and determining one or more best beams from a plurality of beams associated with the BS, and a second metric for each UE using the first metric. Further, segregating the UEs into groups based on the determined one or more best beams and the second metric. Thereafter, performing beamforming on control channel based on the one or more best beams, and performing allocation of at least one of resources, modulation and coding scheme for a control channel based on the segregated groups.

Abstract: Techniques are described for learning feature representations of medical images using a self-supervised learning paradigm and employing those feature representations for automating downstream tasks such as image retrieval, image classification and other medical image processing tasks. According to an embodiment, computer-implemented method comprises generating alternate view images for respective medical images included in set of training images using one or more image augmentation techniques or one or more image selection techniques tailored based on domain knowledge associated with the respective medical images. The method further comprises training a transformer network to learn reference feature representations for the respective medical images using their alternate view images and a self-supervised training process.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a configuration identifying a first set of frequency resources for transmitting a sounding reference signal, where the sounding reference signal may be used at least for downlink channel state information acquisition. The UE may receive an indication of an association between the configuration for the sounding reference signal and a second set of frequency resources and determine, based on the association, values for one or more sounding reference signal transmission parameters for the first set of frequency resources. The UE may transmit the sounding reference signal on the first set of frequency resources based on the determined one or more values.

Abstract: A timing-calibration circuit uses an active phase interpolator to calibrate clock delays through a number of passive fractional delay elements. The timing-calibration circuit minimizes system-wide power consumption by limiting the number and usage of active phase interpolators for delay adjustment in favor of the passive fractional delay elements.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, one or more control channel symbols in a subframe. The UE may activate a sleep mode for the subframe irrespective of a control channel decoding result associated with the one or more control channel symbols, wherein the control channel decoding result is associated with a presence or an absence of a downlink shared channel grant. Numerous other aspects are described.