Abstract: Systems and methods for generating or rendering a three-dimensional (3D) representation of a structure based on images of the structure are disclosed. A selectively rendered point cloud is generated based on the images of the structure and real cameras associated with a virtual camera observing the selectively rendered point cloud. Images attributes may be applied to the selectively rendered point cloud.

Abstract: A system for cooling a two-dimensional array of computing devices is disclosed. A fan is configured to move air through the array of computing devices, which may be fan-less. The fan's width and height may correspond to the two-dimensional array's width and height. The two-dimensional array may be radially configured, and a shroud may be connected between the fan and the array of computing devices. The shroud may have profiles matching the fan and the array of computing devices.

Abstract: The present disclosure relates to utilizing a style-matching image generation system to generate large datasets of style-matching images having matching styles and content to an initial small sample set of input images. For example, the style-matching image generation system utilizes a selection of style-mixed stored images with a generative machine-learning model to produce large datasets of synthesized images. Further, the style-matching image generation system utilizes the generative machine-learning model to conditionally sample synthesized images that accurately match the style, content, characteristics, and patterns of the initial small sample set and that also provide added variety and diversity to the large image dataset.

Abstract: A microelectronic device includes a stack structure comprising blocks, additional dielectric slot structures, and a further dielectric slot structure. The stack structure includes alternating tiers of conductive and insulative structures. A block comprises a stadium structure and crest regions. The stadium structure includes staircase structures having steps comprising edges of the tiers. The additional dielectric slot structures individually extend in the first direction across a first of the crest regions and at least partially into the stadium structure. The additional dielectric slot structures are separated from one another in a second direction orthogonal to the first direction and individually vertically extend through the tiers. The further dielectric slot structure extends in the second direction across a second of the crest regions. The further dielectric slot structure intersects at least one of the additional dielectric slot structures and vertically extend through the tiers.

Abstract: The present disclosure relates to utilizing a dynamic knowledge graph enrichment system to dynamically and automatically maintain knowledge graphs shared between groups of user identifiers with up-to-date findings and discoveries. In particular, the dynamic knowledge graph enrichment system changes static shared knowledge graphs into dynamically evolving ones utilizing statistical guarantees that automatically incorporate new edge connections into a shared knowledge graph after verifying the reliability and veracity of the proposed edge connections being offered. Further, the dynamic knowledge graph enrichment system facilitates forming new connections between different shared knowledge graphs that previously went undetected by flexibly facilitating exploration over multiple knowledge graphs and providing synergistic knowledge graph updates.

Abstract: A user interface generation system and associated methods are disclosed for displaying nodes of a computer program or computation. The system may determine an ordering and position of elements for display. The ordering can include determining a first ancestor branch of a node associated with a stage with an earliest start time among the start times associated with the stages of a plurality of ancestor branches. This first ancestor branch may be designated as first in the ordering. A second ancestor branch may be determined from among the remaining ancestor branches having an stage with an earliest start time among the start times associated with the remaining stages. This second ancestor branch can be designated as second in the ordering.

Abstract: A system and method for homomorphic encryption in a healthcare network environment is provided and includes receiving digital data over the healthcare network at a data custodian server in a plurality of formats from various data sources, encrypting the data according to a homomorphic encryption scheme, receiving a query at the data custodian server from a data consumer device concerning a portion of the encrypted data, initiating a secure homomorphic work session between the data custodian server and the data consumer device, generating a homomorphic work space associated with the homomorphic work session, compiling, by the data custodian server, a results set satisfying the query, loading the results set into the homomorphic work space, and building an application programming interface (API) compatible with the results set, the API facilitating encrypted analysis on the results set in the homomorphic work space.

Abstract: An analyte sensor is disclosed. The analyte sensor includes an implantable sensor configured to measure a signal indicative of an analyte concentration in a user and at least one membrane layer. The membrane layer is disposed over at least a portion of the sensor. The membrane includes a membrane polymer matrix including an ethylene vinyl acetate copolymer and a therapeutic agent dispersed within the membrane polymer matrix. The membrane layer is permeable to an analyte. Devices and methods for monitoring analytes are also disclosed.

Abstract: A safety intravenous catheter that includes a passive release feature. The catheter assembly includes ready, safe, and released positions. In the release position, a retainer being in a proximal retainer position relative to a collar enables release of the catheter hub from the catheter insertion device. The sharp tip of the insertion needle remains inaccessible in the release position in order to prevent unwanted needle sticks.

Abstract: In one example, a method for prediction future network anomaly events is disclosed. The method includes generating a machine learning model for a computer communication network. Generation of the machine learning model can be by applying a historical set of time series data metrics of the computer communication network to train the machine learning model. The method may determine a data metric threshold that indicates a limit for future data metrics associated with the computer communication network. The method may analyze current data metrics associated with the computer communication network, and predict a future time when the data metrics associated with the computer communication network will meet or exceed the data metric threshold value. The method may flag the prediction of the future time to avoid a network anomaly.

Abstract: An improved End-of-Train device suitable for mounting on a train is disclosed. The End-of-Train device comprises an audio input unit configured to detect an audio input associated with at least one event, and to generate an audio signal based on the audio input. The event is one of an utterance of a voice command by a railway personnel or an incident that potentially impacts an operation of the train. The End-of-Train device further comprises a memory and a processing unit communicatively coupled to the memory. The processing unit is configured to execute one or more instructions in the memory to analyze an audio input to identify one or more actions to be performed by the End-of-Train device and to initiate execution of the one or more actions identified. Further, a notification may be generated based on execution of the one or more actions.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for screening data instances based on a target text of a target corpus. A screening device analyzes a target corpus to generate at least two term dictionaries for the target corpus. The screening apparatus, based on a frequency of a term in the target corpus, determines a term weight for the term; for each data instance, determines term scores for the data instance and the target text based on the term weights; filters the data instances based on the term scores, to generate a short list of data instances; determines term similarity scores between each data instance of the short list and target text based on the term weights; and provides a data instance determined to likely correspond to the target text and an indication of the corresponding term similarity score(s). A term is a word or an n-gram.

Abstract: A circuit including a device including a receiver having a receiver input, a receiver output, and a bias current input and a bias generator having a bias current output coupled to the bias current input. The device also includes a buffer having a buffer input, an enable input, and a buffer output, the buffer input coupled to the receiver output and a delay circuit having a delay output coupled to the enable input.

Abstract: A memory array includes memory cells arranged in rows and columns where each row includes a word line connected to memory cells of the row and each column includes a bit line connected to memory cells of the column. Each memory cell stores a bit of weight data for an in-memory computation operation. A row controller circuit coupled to the word lines through drive circuits is configured to simultaneously actuate multiple word lines during the in-memory computation operation. A column processing circuit includes a discharge time sensing circuit for each column that generates an analog signal indicative of a time taken during the in-memory computation operation to discharge the bit line from a precharge voltage to a threshold voltage. The analog signals are converted to digital signal and a computation circuitry performs digital signal processing calculations on the digital signals to generate a decision output for the in-memory computation operation.

Abstract: In a described example, a device includes: a semiconductor substrate; a memory array on the semiconductor substrate, the memory array comprising rows and columns of memory cells in a Manhattan pattern, the memory cells having a pitch in a direction along the columns; and an array of micromirrors in a diamond pattern over the memory cells, the micromirrors coupled to corresponding memory cells, the micromirrors having a diagonal pitch length in the direction along the columns that is between 1.8 times the pitch and 2.2 times the pitch.

Abstract: Techniques are provided herein for tracking activation events associated with a given serial number and using the data from the activation events to autonomously determine whether the serial number has been leaked. Numerous different characteristic parameters of activation events collected over a given time period for a serial number can be tracked and stored in a database. A plurality of different input variables can be generated based on the characteristic parameter data, which create the inputs that are used by a trained neural network to determine the leakage probability. If the leakage probability is determined to be above a certain threshold, an alert of some kind can be generated to indicate that the serial number has been leaked.

Abstract: A driveline includes a driver configured to be positioned between an engine and a transmission. The driver includes a housing, a motor/generator, and a clutch. The housing includes an engine mount configured to couple to the engine and a backing plate configured to couple to the transmission. The motor/generator is disposed within the housing and configured to couple to an input of the transmission. The clutch is disposed within the housing and coupled to the motor/generator. The clutch is configured to selectively couple an output of the engine to the motor/generator. The clutch is configured to be spring-biased into engagement with the engine and pneumatically disengaged by an air supply selectively provided thereto.

Abstract: A differential video rendering system, including a graphics processing unit (GPU); a graphical display coupled to the GPU; a video decoder configured to decode a bitstream of encoded data into a plurality of sets of decoded blocks; at least one processor configured to: generate, based on a first set of the plurality of sets of decoded blocks, a first differential video frame comprising a plurality of sets of differential regions, normalize each set of the plurality of sets of differential regions to a fixed size block to provide a normalized plurality of sets of differential regions, map a respective set of the normalized plurality of sets of differential regions to align with a respective tile size region of a plurality of tile size regions conforming with the GPU, generate a hierarchal region tree based on the normalized plurality of sets of differential regions mapped to the plurality of tile size regions, and generate a plurality of optimal regions based on the hierarchal region tree satisfying a predefin

Abstract: Aspects of the disclosure relate to data loss prevention. A computing platform may detect input of a first target recipient domain into a first email message. The computing platform may identify, in real time and prior to sending the first email message, that the first target recipient domain is an unintended recipient domain instead of an intended recipient domain. The computing platform may identify, in real time and prior to sending the first email message, that the first email message violates one or more data loss prevention rules. Based on identifying the violation, the computing platform may send a notification that the first target recipient domain is flagged as an unintended recipient domain and one or more commands directing a user device of the message sender to display the notification.

Abstract: A military vehicle include a driveline. The driveline includes a first driver including an engine, an energy storage system, an accessory drive coupled to the engine, a transmission coupled to at least one of the front axle or the rear axle, and a second driver coupled to the engine and the transmission. The accessory drive includes a plurality of accessories and a first motor. The first motor is electrically coupled to the energy storage system. The first motor is positioned to facilitate selectively driving the plurality of accessories. The second driver includes a second motor electrically coupled to the energy storage system.