Abstract: Embodiments described herein are directed to implementing compliance settings by a computing device for bringing the computing device into compliance with a configuration scenario. For instance, a computing device may receive, from a server, configuration information describing compliance settings for implementing by the computing device to bring the computing device into compliance with a configuration scenario. Moreover, the computing device may identify a state machine indicated by the configuration information that describes a configuration process for implementing the compliance settings and execute the state machine to configure the computing device with the compliance settings.

Abstract: At least one electrical brain signal is received from a patient and is demultiplexed into an efferent motor intention signal and at least one afferent sensory signal (such as an afferent touch sense signal and/or an afferent proprioception signal). A functional electrical stimulation (FES) device is controlled to apply FES to control a paralyzed portion of the patient that is paralyzed due to a spinal cord injury of the patient. The controlling of the FES device is based on at least the efferent motor intention signal. A demultiplexed afferent touch sense signal may be used to control a haptic device. The afferent sensory signal(s) may be used to adjust the FES control.

Abstract: The present disclosure provides an end-to-end proctoring system and method for conducting a secure online examination. The system comprises an image capturing device and an audio recording device for capturing and recording a plurality of live face images and a plurality of audio files of one or more users respectively. A processor is programmed to execute one or more module(s) stored in a memory, including, but not limited to, a user face recognition module, an occlusion detection module, a user authentication module, an object detection module, and an audio analytics module. The processor is further configured to control a warning module that may output a notification signal for the one or more module(s) when at least one suspicious activity is determined during the secure online examination. Further, the system with the processor for executing the one or more module(s) is pre-trained on various deep learning-based approaches for conducting a secure online examination.

Abstract: An analytics system jointly predicts values for multiple unobserved individual-level features using aggregate data for those features. Given a dataset, a transformation is applied to individual-level information for the dataset to generate transformed data in a higher dimensional space. Bag-wise mean embeddings are generated using the transformed data. The bag-wise mean embeddings and aggregate data for unobserved individual-level features for the dataset are used to train a model to jointly predict values for the unobserved individual-features for data instances. In particular, a given data instance can be transformed to a representation in a higher dimensional space. Given this representation, the trained model predicts values for the unobserved individual-level features for the data instance, and the data instance can be augmented with the predicted values.

Abstract: An earth moving vehicle (EMV) autonomously performs an earth moving operation within a dig site. If the EMV determines that a state of the EMV or the dig site triggers a triggering condition associated with a pause in the autonomous behavior of the EMV, the EMV determines a risk associated with the state or triggering condition. If the risk is greater than a first threshold, the EMV continues the autonomous performance and notifies a remote operator that the triggering condition was triggered. If the risk is greater than the first threshold risk but less than a second threshold risk, the EMV is configured to operate in a default state before continuing and notifying the remote operator. If the risk is greater than the second threshold risk, the EMV notifies the remote operator of the state pauses the performance until feedback is received from the remote operator.

Abstract: Register banks are used to allow for fast beam switching in a phased array system. Each beam forming channel is associated with a register bank containing M register sets for configuring such things as gain/amplitude and phase parameters of the beam forming channel. The register banks for all beam forming channels can be pre-programmed and then fast beam switching circuitry allows all beam forming channels across the array to be switched to use the same register set from its corresponding register bank at substantially the same time, thereby allowing the phased array system to be quickly switched between various beam patterns and orientations. Active power control circuitry may be used to control the amount of electrical power provided to or consumed by one or more individual beam forming channels such as to reduce DC power consumption of the array and/or to selectively change the effective directivity of the array.

Abstract: Aspects of the disclosure relate to message processing. A computing platform may intercept an application message, which may be directed to a message bus. The computing platform may input the application message into a model, which may output a message priority score for the application message. The computing platform may compare, using the model, the message priority score to a message priority threshold. Based on identifying that the message priority score does not exceed the message priority threshold, the computing platform may route the application message to a message storage system rather than the message bus. The computing platform may monitor the message bus to detect available processing capacity. Based on identifying that the available processing capacity meets or exceeds a message processing threshold, route the application message to the message bus.

Abstract: Exemplary methods, apparatuses, and systems include receiving a plurality of read operations. The read operations are divided into a current set of a sequence of read operations and one or more other sets. The size of the current set is a first number of read operations. An aggressor read operation is selected from the current set. A first data integrity scan is performed on a victim of the aggressor and a first indicator of data integrity is determined based on the first data integrity scan. A scaling factor is determined using the indicator of data integrity and a number of program erase cycles for the portion of memory. The set size of read operations is adjusted to a second number of read operations using the scaling factor for a subsequent set.

Abstract: Methods, systems, and apparatuses include generating recovery likelihood metrics for undecodable segments in a stripe of data distributed across a redundant array of storage nodes. The recovery likelihood metrics are based on a determination of a likelihood of recovering the undecodable segment. The undecodable segments are ranked based on the recovery likelihood metrics. The undecodable segments are recovered in an order based on the ranking starting with the undecodable segment with the highest likelihood of recovery.

Abstract: Embodiments of the present invention synchronize multiple synthesizers, such as phase-locked loops (PLLs), in a manner that does not require communication or coordination between the synthesizers. Specifically, each synthesizer is part of a synthesizer circuit that includes a synthesizer (e.g., a PLL), a phase measurement circuit, and a synchronization circuit. A common reference signal (e.g., an alternating clock signal) is provided to the synthesizer circuits. In one exemplary embodiment, in each synthesizer circuit, the phase measurement circuit measures a phase difference between the reference signal and a corresponding output of the synthesizer, and the synchronization circuit adjusts the synthesizer operation based on the measured phase difference in such a way that all of the synthesizers operate in-phase with one another relative to the common reference signal, without having any communication or coordination between the two synthesizer circuits other than provision of the common reference signal.

Abstract: An intake hood system for a heating, ventilation, and/or air conditioning (HVAC) unit includes an intake hood having an inlet configured to receive an air flow into the intake hood, a first support configured to engage a first end of an air filter, and a second support configured to engage a second end of the air filter, where the first support is configured to align with a boundary of the inlet. The intake hood system also includes a lock bar configured to couple to the intake hood while abutting the first support and the second support to secure the air filter within the intake hood.

Abstract: A two-dimensional image segment that includes an outline of an object can be determined in a top-down fisheye image. A six degree of freedom (DoF) pose for the object can be determined based on determining a three-dimensional bounding box determined by one or more of (1) an axis of the two-dimensional image segment in a ground plane included in the top-down fisheye image and a three-dimensional model of the object and (2) inputting the two-dimensional image segment to a deep neural network trained to determine a three-dimensional bounding box for the object.

Abstract: The present disclosure provides a system and method for utilizing an application programming interface (API) for handling multiple requests/models from various users. The API uses a machine learning (ML) model for processing the various requests and producing a plurality of trained models. The system is resilient to a race condition and incorporates an optimized random access memory (RAM) usage. Further, the system efficiently manages the limited available resources by loading and unloading the machine learning models based on their usage, thus maximizing the throughput of the API.

Abstract: Currently, spatial reuse (SR) is a feature used indiscriminately for/across all traffic classes. However, systems and methods are provided for increasing the reliability of voice traffic and Transmission Control Protocol (TCP) Acknowledgement (ACK) messaging. The result is improved quality of voice calls, and enhanced network capacity. When the length of a data section of a packet suggests that subsequent packets are associated with voice traffic or TCP ACKs, such packets are not transmitted when another transmission(s) is occurring under spatial reuse. When a determination is made that the length of a data section of the packet suggests non-voice traffic or TCP ACKs, they can be transmitted simultaneously with other transmissions occurring under spatial reuse.

Abstract: The embodiments set forth techniques for implementing various “prediction engines” that can be configured to provide different kinds of predictions within a mobile computing device. According to some embodiments, each prediction engine can assign itself as an “expert” on one or more “prediction categories” within the mobile computing device. When a software application issues a request for a prediction for a particular category, and two or more prediction engines respond with their respective prediction(s), a “prediction center” can be configured to receive and process the predictions prior to responding to the request. Processing the predictions can involve removing duplicate information that exists across the predictions, sorting the predictions in accordance with confidence levels advertised by the prediction engines, and the like. In this manner, the prediction center can distill multiple predictions down into an optimized prediction and provide the optimized prediction to the software application.

Abstract: Embodiments of the disclosure provide methods and electronic devices comprising a work function layer comprising a material that forms a weak silicide. The electronic devices comprise a silicon layer with the work function layer thereon and a metal contact on the work function layer.

Abstract: The present disclosure relates to a system, a method and a computer-readable tangible non-transitory medium for recommending live streaming data. The method includes identifying a set of live streaming programs according to an attribute of the user and a tag of each live streaming program in the set of live streaming programs, generating a first subset of live streaming programs from the set of live streaming programs according to a first criterion, and generating a second subset of live streaming programs from the set of live streaming programs according to a second criterion. The first criterion is different from the second criterion. The present disclosure can recommend contents in a more efficient way and increase user engagements.

Abstract: A machine may be configured to facilitate partial reductions of an amount by generating and providing a graphical user interface that enables a user to specify one or more partial reductions of the amount, thus defining or otherwise controlling how the amount is to be reduced in stages by such partial reductions. For example, in situations where a total amount is to be reduced in stages by multiple partial reductions, the generated and provided graphical user interface may be operable to specify each stage of reduction by enabling the user to select a corresponding account for each stage of reduction. The corresponding account may be selected from among a set of multiple available accounts, each with a respectively corresponding available amount, any portion or all of which may be available to use in that stage of reducing the total amount.

Abstract: Embodiments of the disclosure provide methods and electronic devices comprising a work function layer comprising a material that forms a conductive oxide with or without titanium. The electronic devices comprise a silicon layer with the work function layer thereon and a metal contact on the work function layer.