Abstract: When an EMV performs an action comprising moving a tool of the EMV through soil or other material, the EMV can measure a current speed of the tool through the material and a current kinematic pressure exerted on the tool by the material. Using the measured current speed and kinematic pressure, the EMV system can use a machine learned model to determine one or more soil parameters of the material. The EMV can then make decisions based on the soil parameters, such as by selecting a tool speed for the EMV based on the determined soil parameters.

Abstract: Database systems may dynamically management concurrency levels for performing queries. A query may be received at a database system and a memory usage for the query may be predicted. A determination may be made as to whether available memory is enough to satisfy the predicted memory usage for the query. If the available memory is enough to satisfy the predicted memory usage for the query, then an increase in a concurrency level for performing queries at the database system may be made. The query may be allowed to execute concurrently with other queries according to the increased concurrency level.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating and providing matching fonts by utilizing a glyph-based machine learning model. For example, the disclosed systems can generate a glyph image by arranging glyphs from a digital document according to an ordering rule. The disclosed systems can further identify target fonts as fonts that include the glyphs within the glyph image. The disclosed systems can further generate target glyph images by arranging glyphs of the target fonts according to the ordering rule. Based on the glyph image and the target glyph images, the disclosed systems can utilize a glyph-based machine learning model to generate and compare glyph image feature vectors. By comparing a glyph image feature vector with a target glyph image feature vector, the font matching system can identify one or more matching glyphs.

Abstract: A surplus liquid reservoir attached to a vapor chamber integrated heat spreader (IHS) and placed near a heat source on a heterogenous die. The vapor chamber integrated heat spreader (IHS) includes a main heat transfer portion that encloses a vapor channel, a first wick material, and a first working fluid. The surplus liquid reservoir is provided by a reservoir leg mechanically coupled, on a first side, to the main heat transfer portion, the reservoir leg has a reservoir portion with a second working fluid and second wick material that is in contact with the first wick material. The surplus liquid reservoir can either support a PL2 that is higher than a given vapor chamber Qmax for a significantly long time or increase the PL2 value to a significantly higher value.

Abstract: A MEMS device is provided comprising a mass configured to move along a first axis and a second axis substantially perpendicular to the first axis; a drive structure coupled to the mass and configured to cause the mass to move along the first axis; a sense structure coupled to the mass and configured to detect motion of the mass along the second axis; a stress relief structure coupled to one of the drive structure or the sense structure; and at least one anchor coupled to an underlying substrate of the MEMS device, wherein the stress relief structure is coupled to the at least one anchor and the at least one anchor is disposed outside of the stress relief structure.

Abstract: A computer system (which includes one or more computers) that generates a second autoencoder (AE) neural network (such as an ALAP-AE neural network) is described. During operation, the computer system may obtain information specifying an initial AE neural network. Then, the computer system may compute a subset of filters associated with the initial AE neural network to remove based at least in part on a L1-norm loss function and weights associated with filters in initial AE neural network. Moreover, the computer system may prune the subset of the filters from the initial AE neural network. Next, the computer system may generate the ALAP-AE neural network by retraining the initial AE neural network, where the retraining includes a student-teacher model in which the teacher includes the pruned initial AE neural network and the student includes the ALAP-AE neural network.

Abstract: The present invention includes and immunogenic composition and methods of immunizing a mammal or avian comprising: a nanoparticle conjugated to one or more antigenic peptides or fusion polypeptides from more than one strain of virus, wherein the one or more antigenic peptides or fusion polypeptides elicit at least one of a humoral, T helper cell-1 (Th1), T helper cell-2 (Th2) or cytotoxic T cell (CTL) immune response. In certain embodiments the antigenic peptides or fusion polypeptides are selected from at least one of SEQ IN NOS: 1 to 16, 22 to 39, or any combination thereof.

Abstract: A GraphQL server stores schemas for GraphQL APIs in a schema store, the schemas defining operations, types and fields of the APIs. Field resolvers are associated with the fields of the APIs to specify which of the data source is to be used to fulfill an API query request. When an event is detected that makes changes to a schema of any of the data sources, the schema store is accessed and an old field name is automatically replaced with a new field name in both the retrieved schemas and the field resolvers mapped to the retrieved schemas. Responsive to receiving an API request, it is determined whether the request has any field names that do not match the corresponding schema, and if so, the old field name is replaced with the new field name in the request.

Abstract: Methods and systems for determining a mapped intensity metric are described. Determining the mapped intensity metric includes determining an intensity metric for a manufacturing system. The intensity metric is determined based on a reflectivity of a location on a substrate and a manufacturing system characteristic. Determining the mapped intensity metric also includes determining a mapped intensity metric for a reference system. The reference system has a reference system characteristic. The mapped intensity metric is determined based on the intensity metric, the manufacturing system characteristic, and the reference system characteristic, to mimic determination of the intensity metric for the manufacturing system using the reference system. In some embodiments, the reference system is virtual, and the manufacturing system is physical.

Abstract: A method and system for managing a message thread associated with a hybrid meeting are disclosed, comprising identifying a first in-room attendee of the hybrid meeting in a physical meeting space, detecting connection of a meeting application executed on a first user device of the first in-room attendee to a meeting service, without the meeting application having joined the hybrid meeting, and in response to identifying the first in-room attendee in the physical meeting space and detecting connection of the meeting application executed on the first user device of the first in-room attendee to the meeting service, without the meeting application having joined the hybrid meeting, sending an instance of the message thread associated with the hybrid meeting to the meeting application executed on the first user device of the first in-room attendee.

Abstract: In implementations of systems for image inversion using multiple latent spaces, a computing device implements an inversion system to generate a segment map that segments an input digital image into a first image region and a second image region and assigns the first image region to a first latent space and the second image region to a second latent space that corresponds to a layer of a convolutional neural network. An inverted latent representation of the input digital image is computed using a binary mask for the second image region. The inversion system modifies the inverted latent representation of the input digital image using an edit direction vector that corresponds to a visual feature. An output digital image is generated that depicts a reconstruction of the input digital image having the visual feature based on the modified inverted latent representation of the input digital image.

Abstract: Embodiments herein disclose a method for optimizing power consumption in an electronic device comprising a plurality of RATs. The method includes determining a system bandwidth of the plurality of RATs available in the electronic device and mapping at least one portion of the system bandwidth to at least one power consumption level of a set of power consumption levels of the electronic device. Further, the method includes distributing the at least one portion of the system bandwidth across the plurality of RATs based on the at least one mapped power consumption level of the set of power consumption levels of the electronic device. Further, the method includes enforcing the distributed system bandwidth across the plurality of RATs in the electronic device and enabling at least one application to use the distributed system bandwidth across the plurality of RATs in the electronic device.

Abstract: Disclosed are various examples for managing endpoints or client devices. A client device can be managed using unified endpoint management (UEM) protocols or using an endpoint management framework. A management console can allow an administrator to perform UEM management actions as well as out-of-band management actions on managed endpoints.

Abstract: A system and method for myocardial performance determination is provided. The present invention provided for generating a first dataset representing a set of events associated with a pre-defined parameter of a biomarker extracted from physiological parameters of a subject. The set of events is determined by processing the pre-defined parameter at a first level and a second level of a multi-level artificial neural network architecture recursively for a pre-defined number of times. Further, generating second dataset representing characteristics associated with the set of events by processing first dataset at third level and fourth level of multi-level artificial neural network architecture. Further, computing set of values associated with set of events by processing second dataset at fifth level of multi-level artificial neural network architecture. Further, computing myocardial performance index based on set of values. The myocardial performance index is representative of myocardial performance of the subject.

Abstract: A portable and wearable hand-grasp neuro-orthosis is configured for use in a home environment to restore volitionally controlled grasp functions for a subject with a cervical spinal cord injury (SCI). The neuro-orthosis may include: a wearable sleeve with electrodes; electronics for operating the wearable sleeve to perform functional electrical stimulation (FES) and electromyography (EMG), the electronics configured for mounting on a wheelchair; and a controller configured for mounting on a wheelchair. The controller controls the electronics to read EMG via the sleeve, decode the read EMG to determine an intent of the user, and operate the electronics to apply FES via the sleeve to implement the intent of the user. The neuro-orthosis may restore hand function. The controller may include a display arranged to be viewed by the subject, for example mounted on an articulated arm attached to the wheelchair.

Abstract: A broad-spectrum solar energy system includes a photovoltaic system that includes photovoltaic cells configured to produce a DC voltage in response to visible and ultraviolet (UV) light. The photovoltaic cells can produce waste heat in producing the DC voltage. An inverter converts the DC voltage to a first AC voltage. A rectenna system coupled with the photovoltaic system includes a first antenna having a resonance at a first wavelength; and a second antenna having a resonance at a second wavelength. The first antenna and the second antenna can absorb energy at least in the infrared (IR) wavelength range and convert the energy to a second AC voltage. The first antenna and/or the second antenna can absorb the waste heat produced by the plurality of photovoltaic cells and convert the waste heat to the second AC voltage. Power is supplied from the first AC voltage and the second AC voltage.

Abstract: Approaches for integrating FE memory arrays into a processor, and the resulting structures are described. Simultaneous integrations of regions with ferroelectric (FE) cells and regions with standard interconnects are also described. FE cells include FE capacitors that include a FE stack of layers, which is encapsulated with a protection material. The protection material protects the FE stack of layers as structures for regular logic are fabricated in the same die.

Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of determining a route between a start point and an end point in a site and navigating over the route. The sensors collect any or more of spatial, imaging, measurement, and location data to detect an obstacle between two locations within the site. Based on the collected data and identified obstacles, the excavation vehicle generates unobstructed routes circumventing the obstacles, obstructed routes traveling through the obstacles, and instructions for removing certain modifiable obstacles. The excavation vehicle determines and selects the shortest route of the unobstructed and obstructed route and navigates over the selected path to move within the site.

Abstract: A method for vehicle maintenance at a service center is provided. A set of vehicular datasets for a set of vehicles, at a service center, is retrieved from a database. Based on the set of vehicular datasets, a service schedule for servicing the set of vehicles is determined. The service schedule is indicative of a first sequence for servicing the set of vehicles. The servicing of a first subset of the set of vehicles is initiated based on the first sequence. A progress of the servicing of the first subset of the set of vehicles is monitored based on status reports. Based on the monitored progress, the service schedule for a second subset of the set of vehicles is updated. Based on the updated service schedule, the servicing of the second subset of the set of vehicles is initiated based on a second sequence.

Abstract: Systems, methods, and related techniques and apparatus containing instructions which when executed by one or more computing devices for determining dataset rankings by determining, from the lineage order requirement, one or more first lineage level datasets from the collection of datasets, generating one or more first lineage level asset ranks respectively for each one of the one or more first lineage level datasets, determining at least one second lineage level dataset having an outflow to the one or more first lineage level datasets, and generating a first dataset rank for the at least one second lineage level dataset as a first function of the outflow and at least one of the one or more first lineage level asset ranks.