Abstract: The disclosures herein generally relate to a vehicle and more particularly, to an all-terrain utility vehicle which can perform multiple operations, in varied terrain and soil conditions, with precision and guidance. An all-terrain utility vehicle mainly includes wheel track and wheel base adjusting system, a height adjusting system, a plurality of vertical axle assemblies, a steering system, an implement position adjusting system, a master controller unit and a plurality of wheel drive motors. All the vehicle functions being controlled and guided with the help of an electronic master control module which enables optional manual, remote and autonomous operations. The electronic master control module utilizes externally acquired location data and digital maps with soil and plant information for enabling precision field operations.

Abstract: Some embodiments include apparatuses and methods having a substrate, a memory cell string including a body, a select gate located in a level of the apparatus and along a portion of the body, and control gates located in other levels of the apparatus and along other respective portions of the body. At least one of such apparatuses includes a conductive connection coupling the select gate or one of the control gates to a component (e.g., transistor) in the substrate. The connection can include a portion going through a portion of at least one of the control gates.

Abstract: A disaster recovery site storage array causes an instance of a host application or selected executables running on a host server to validate changes to an asynchronously updated replica of a storage object. Snapshots of the replica are generated before and after each set of changes to the replica are received from a remote storage array. Validation is performed by mounting snapshots to the instance of the associated host application and causing the host application instance to validate the data. If a snapshot is determined to be invalid, then the replica to recovered with the most recent known-valid snapshot. Alternatively, if each set of changes is validated prior to being applied to the replica, invalid changes are not applied to the replica. Unvalidated snapshots may be accumulated and validated independently from application of sets of changes to the replica, thereby decoupling validation from replication.

Abstract: An enhanced router is described that improves network performance for AI workloads by providing in-network primitives that improve the performance of operations such as Broadcast and Reduce operations. The enhanced router is configured to execute primitives for data payloads in packets associated with the workloads in the network prior to forwarding the packets to hosts. The network device receives, via a control plane, a primitive indicative of an analytical, computational, or transformative operation to be performed on data payloads transmitted by data packets associated with a workload being processed in an SDN. The primitive is associated with a protocol for configuring network devices to perform in-network acceleration of workloads in coordination with source and destination hosts in the SDN.

Abstract: Systems, methods, and computer-readable media herein modify the utilized communication protocol of one or more wireless base stations and/or UE devices based on signal quality information or data rate information associated with one or more UE devices. The signal quality information or data rate information of the UE devices can be analyzed by a base station and the base station can respond to changes in signal quality or data rate of the UE devices by modifying the configuration of one or more base stations and/or UE devices from a first communication protocol to a second communication protocol quality of transmissions between the UE devices and a base station.

Abstract: An optical receiver implements a method to provide a digital output of a received on-off keyed optical signal. The method includes receiving an on-off keyed optical signal via a coherent optical front-end receiver utilizing a locally mixed laser LO for a reference signal to perform quadrature detection of the optical signal to generate an electrical signal, performing symbol/slot timing recovery on the electrical signal using a timing error detector, performing carrier frequency and phase recovery on a symbol/slot signal to generate a frequency and phase recovered signal, and demodulating the frequency and phase recovered signal via a demodulation circuit to provide a digital output representative of the received on-off keyed optical signal.

Abstract: High availability network services are provided in a in a virtual computing environment comprising a plurality of network devices running in a software defined network (SDN) of the virtual computing environment, the network devices comprising a plurality of SDN appliances configured to disaggregate enforcement of policies of the SDN from hosts of the virtual computing environment, the hosts implemented on servers communicatively coupled to network interfaces of the SDN appliances, the servers hosting a plurality of virtual machines, the SDN appliance comprising a plurality of smart network interface cards (fNICs) configured to implement functionality of the SDN appliances.

Abstract: An exemplary embodiment of the present disclosure provides a battery system comprising one or more battery modules, one or more thermal conduits, and one or more thermoelectric coolers. Each of the one or more battery modules can comprise a plurality of battery cells. The one or more thermal conduits can be coupled to the one or more battery modules. The one or more thermoelectric coolers can be coupled to the one or more thermal conduits. The one or more thermal conduits can be configured to allow thermal energy to flow from the one or more battery modules to the one or more thermoelectric coolers. The thermoelectric coolers can be configured to dissipate thermal energy received from the one or more battery modules via the one or more thermal conduits.

Abstract: An enhanced router is described that improves network performance for AI workloads by providing in-network primitives that improve the performance of operations such as Broadcast and Reduce operations. The enhanced router leverages the observation that operations such as the Broadcast and Reduce primitives are more performant (e.g., reduced latency and bandwidth) when performed in the network rather than in graphics processing unites (GPUs) or central processing units (CPUs) which are often deployed as leaf nodes in a typical network topology in a datacenter.

Abstract: Providing avatar support for trapped seismic event survivors is provided. A survivor is detected in debris of a collapsed structure using a set of sensors. An avatar communicates with the survivor. Fresh air flow drawn from different directions is measured to detect a pathway through the debris to an environment outside the collapsed structure. The pathway is detected through the debris to the environment outside the collapsed structure based on measuring the fresh air flow drawn from the different directions.

Abstract: A database system detects an operation to move a first database object from an in-memory store to a persistence store, wherein the first database object is in either a page-loadable or column-loadable format in the in-memory store, and wherein the first database object comprises a plurality of subcomponents. Each subcomponent of the first database object is examined separately from other subcomponents of the plurality of subcomponents. In response to determining that a first subcomponent of the plurality of subcomponents has a datatype and a compression type supported by a unified persistence format, the first subcomponent is stored in a unified persistence format in the persistence store. In response to determining that a second subcomponent of the plurality of subcomponents has either a datatype or a compression type which is not supported by the unified persistence format, the second subcomponent is stored in a serial persistence format in the persistence store.

Abstract: A system includes a first chiplet that includes at least one demodulator for demodulating at least one received signal from a receiver to generate hard bits and soft information from the received signal and a second chiplet coupled to exchange information with the first chiplet. The second chiplet includes at least one correlator to detect a symbol pattern indicating frame boundaries of frames having a known frame symbol period length in an acquisition state and transitioning the first and second chiplets to a connected state in response to a threshold number of successful frame boundary detections. The at least one correlator uses soft bit representations to correlate and deduce the frame boundaries in a windowed mode using the known frame length and previous frame boundary information while in the connected state and transitions the first and second chiplets out of the connected state and back to the acquisition state in response to at least one unsuccessful frame boundary detection.

Abstract: A device described herein may maintain a model associating sets of traffic attributes with respective sets of attributes of user interface (“UI”) elements; receive a request to associate a particular UI element with a particular set of Quality of Service (“QoS”) parameters; identify a first set of attributes of the particular UI element; identify that the first set of attributes, of the particular UI element, matches a second set of attributes of UI elements included in the model; and identify a particular set of traffic attributes indicated in the model as being associated with the second set of attributes of UI element attributes. The device may identify traffic associated with the particular set of traffic attributes; and may process the identified traffic in accordance with the particular set of QoS parameters indicated in the request, based on identifying that the traffic is associated with the particular set of traffic attributes.

Abstract: A self-calibrating transceiver includes a set of digital to analog converters configured to process a comb calibration waveform, at least one IQ modulator configured to generate at least one optical signal comprising I and Q components operably coupled from the set of digital to analog converters. A receiver photonics circuit is configured to convert the coupled optical signals to electrical signals. The receiver photonics circuit includes a set of analog to digital converters coupled to convert the electrical signals to digital signals representative of the comb calibration waveform in cartesian IQ format. Processing circuitry is coupled to determine at least magnitude and/or phase of the digital signals and generate filter coefficients based on a comparison of at least magnitude and/or phase to the comb calibration waveform.

Abstract: Systems and techniques are disclosed for generating entries for a searchable index based on rules generated by one or more machine-learned models. The index entries can include one or more tokens correlated with an outcome and an outcome probability. A subset of tokens can be identified based on the characteristics of an event. The index may be searched for outcomes and their respective probabilities that correspond to tokens that are similar to or match the subset of tokens based on the event.

Abstract: Device-based barometric pressure sensor calibration involves determining a specific location of the mobile device; determining a general location of the mobile device that encompasses and obfuscates the specific location; transmitting the general location to a server; receiving general calibration data for the general location; determining specific calibration data based on the general calibration data and the specific location; determining a calibration value based on the specific calibration data, the calibration value being for calibrating the barometric pressure sensor.

Abstract: Aspects of the present disclosure determine a risk level of Polycystic Ovarian syndrome (“PCOS”). Alongside the risk level of PCOS, aspects of the present disclosure simultaneously display the risk level of PCOS with patient information, which may be useful for clinicians. Aspects include receiving patient information of a patient, determining a patient criteria is satisfied based on the patient information, and applying a predictive diagnosis model to the patient information to determine a risk level of PCOS.

Abstract: The systems and methods disclosed herein receive alphanumeric characters defining operative boundaries for expected model use cases, along with operational data. The expected model use cases share common attributes, which are used by a first AI model to construct observed model use cases from the operational data. Each observed model use case includes features such as a text-based description, expected input and output, AI model(s) generating the expected output from the input, and/or data supporting the AI models. For each observed model use case, a second AI model maps the alphanumeric characters and features to a risk category, selecting from multiple risk categories based on the level of risk associated with the features. The system identifies criteria for the observed model use case within the alphanumeric characters and generates gaps by comparing the criteria with the features of the observed model use case.

Abstract: Systems and techniques are provided for generating a texture for a three-dimensional (3D) facial model. For example, a process can include obtaining a first frame, the first frame including a first portion of a face. In some aspects, the process can include generating a 3D facial model based on the first frame and generating a first facial feature corresponding to the first portion of the face. In some examples, the process includes obtaining a second frame, the second frame including a second portion of the face. In some cases, the second portion of the face at least partially overlaps the first portion of the face. In some examples, the process includes combining the first facial feature with the second facial feature to generate an enhanced facial feature, wherein the combining is performed to enhance an appearance of select areas of the enhanced facial feature.

Abstract: Read and write transducer elements have very high reliability for most of their respective lives. Only a small percentage of transducer elements fail after a significant duration of operation in the field, but failure rate ramps up significantly with as the transducer elements age, particularly with heavy read and write use. Prior solutions to this problem involve regularly running data field integrity checks. However, the data field integrity checks are resource intensive and yield significant latency impacts. The presently disclosed technology renders data field integrity checks (that come with high latency costs) dependent upon periodic or continuous head health monitoring schemes (that come with low latency costs). The data field integrity checks are triggered by a “poor health” signal generating from the head health monitoring schemes rather than being continuously or periodically performed with no regard to projected head health.