Abstract: Fly-by-wire vehicle systems and related remote actuation systems and operating methods are provided for actuating a remote flight control component using an individual analog command signal communicated over an individual electrical cable or wire. An exemplary method involves logic, circuitry or other hardware at a remote actuation system receiving an analog input command signal, converting the analog input command signal to a rotational speed command in a commanded rotational direction based on a relationship between a current state of the signal characteristic and a reference state for the signal characteristic, converting the rotational speed command into a power conversion command based at least in part on the rotational speed command and the current state of the motor, and operating power conversion circuitry at the remote actuation system to provide power to the motor in accordance with the power conversion command to achieve the commanded rotation in the commanded rotational direction.

Abstract: Aspects of the invention include techniques for scaling the training of graph neural network (GNN)-based knowledge graph embedding models for link prediction. A non-limiting example method includes receiving a knowledge graph of a data set and partitioning the knowledge graph into a plurality of partitions. At least one partition of the plurality of partitions is expanded. The method includes launching a training process for each partition of the plurality of partitions such that, during a training epoch, a respective training process samples positive and negative samples from a respective partition. An edge mini batch is formed for each training process and a computational graph is generated for each edge mini batch.

Abstract: Aspects include techniques for predicting system behaviors using a trained machine learning model. Aspects include receiving a sequence of snapshots of DTDGs, each including a plurality of nodes and generating node embeddings and transformation weight matrices for each of the plurality of nodes using a multi-hop parameter-free message passing operation. Aspects also include applying graph filters for each snapshot based on the plurality of node embeddings and a plurality of weight matrices for each of the plurality of nodes of the snapshot and concatenating the graph filters for each of the sequence of snapshots to create a final graph embedding for each snapshot. Aspects further include processing, by a self-attention layer, the final graph embedding for each snapshot as a sequence, a final embedding for each node and predicting a node value for a node of a next DTDG according to the final embedding for each node.

Abstract: Described is an apparatus for supporting Over-The-Air Hardware Updates comprising a first circuitry, a second circuitry, and a third circuitry. The first circuitry may be operable to be fastened and electrically coupled in one or more regions to one or more respectively corresponding semiconductor dies. The second circuitry may be operable to configure the one or more regions of the first circuitry. The third circuitry may be operable to provide a set of wirelessly-received configuration instructions to the second circuitry.

Abstract: Described are methods and apparatuses pertaining to stacked integrated circuits having application in ultra-low-power and small form factor design, with fast prototyping and mass-production cycle time, including application for millimeter wave radio frequency circuits.

Abstract: Thioctamer, a nanoconjugate of glatiramer acetate (GA) and thioctic acid (TA), e.g. in the form of nanospheres, is provided as are compositions comprising thioctamer and methods of using the same for wound healing. Application of thioctamer to a wound accelerates wound healing, compared to control wounds that are not treated with the copolymer.

Abstract: Described is a packaged component having a first surface and an opposite second surface. The packaged component may comprise a first element a second element, and a third element. The first element may have a first surface and an opposite second surface. The second element may have a first surface and an opposite second surface. The third element may electrically connect a portion of the first element to a portion of the second element. The second surface of the first element may be adjacent to the second surface of the packaged component, and the second surface of the second element may be adjacent to the second surface of the packaged component.

Abstract: Described is a packaged component having a first surface and an opposite second surface. The packaged component may comprise a first element a second element, and a third element. The first element may have a first surface and an opposite second surface. The second element may have a first surface and an opposite second surface. The third element may electrically connect a portion of the first element to a portion of the second element. The second surface of the first element may be adjacent to the second surface of the packaged component, and the second surface of the second element may be adjacent to the second surface of the packaged component.

Abstract: Described is an apparatus for supporting Over-The-Air Hardware Updates comprising a first circuitry, a second circuitry, and a third circuitry. The first circuitry may be operable to be fastened and electrically coupled in one or more regions to one or more respectively corresponding semiconductor dies. The second circuitry may be operable to configure the one or more regions of the first circuitry. The third circuitry may be operable to provide a set of wirelessly-received configuration instructions to the second circuitry.

Abstract: A graph neural network (GNN) training method, system, and computer program product in a graph, include generating, by the computing device, one or more one or more hypothetical edges between two or more nodes of a plurality of nodes of a graph neural network, testing, by the computing device, to determine whether the one or more generated hypothetical edges should be connected by using negative sampling, and permanently connecting, by the computing device, the one or more tested hypothetical edges if the negative sampling indicates the connectivity.

Abstract: A knowledge graph embedding method, system, and computer program product using a computing device to embed a knowledge graph using a graph convolutional network, the method including learning, by the computing device, an embedding of the knowledge graph that includes entities, relations, and edges, weighing, by the computing device, initial feature vectors of nodes and a convolutional layer output to compute a weight and modifying the embedding based on the weight, and using, by the computing device, the modified embedding to perform a task related to the knowledge graph.

Abstract: Described are methods and apparatuses pertaining to stacked integrated circuits having application in ultra-low-power and small form factor design, with fast prototyping and mass-production cycle time, including application for millimeter wave radio frequency circuits.

Abstract: Described is an apparatus for supporting Over-The-Air Hardware Updates comprising a first circuitry, a second circuitry, and a third circuitry. The first circuitry may be operable to be fastened and electrically coupled in one or more regions to one or more respectively corresponding semiconductor dies. The second circuitry may be operable to configure the one or more regions of the first circuitry. The third circuitry may be operable to provide a set of wirelessly-received configuration instructions to the second circuitry.

Abstract: Described are methods and apparatuses pertaining to stacked integrated circuits having application in ultra-low-power and small form factor design, with fast prototyping and mass-production cycle time, including application for millimeter wave radio frequency circuits.

Abstract: A method, a computer program product, and a system for non-obvious relationship detection. The method includes receiving a knowledge and inputting a first node and a second node from the knowledge graph into a twin neural network. The method also includes embedding the first node and the second node, aggregating neighborhood information and position information into the node embeddings. The method further includes concatenating the neighborhood information and the position information of the first node and the second node to produce a first output vector and a second output vector. The method also includes generating a final score by comparing the first output vector with the second output vector. The final score indicates a probability of a non-obvious relationship between the first node and the second node.

Abstract: Described are methods and apparatuses pertaining to stacked integrated circuits having application in ultra-low-power and small form factor design, with fast prototyping and mass-production cycle time, including application for millimeter wave radio frequency circuits.

Abstract: Described is a packaged component having a first surface and an opposite second surface. The packaged component may comprise a first element a second element, and a third element. The first element may have a first surface and an opposite second surface. The second element may have a first surface and an opposite second surface. The third element may electrically connect a portion of the first element to a portion of the second element. The second surface of the first element may be adjacent to the second surface of the packaged component, and the second surface of the second element may be adjacent to the second surface of the packaged component.

Abstract: This disclosure provides a stress-responsive polypeptide sequence for fusion with a polypeptide to specifically induce stability of the fusion polypeptide under stress conditions, such as drought, high salt and high temperature, in plants. Also disclosed includes an expression vector for expressing a fusion polypeptide comprising the stress-responsive peptide in plants transformed therewith, and a method for generating a transgenic plant with enhanced tolerance to environmental stresses, comprising introducing into the transgenic plant a polynucleotide encoding a fusion polypeptide which comprises the stress-responsive peptide as disclosed and a plant anti-stress gene, such as the plant senescence-associated gene SSPP. A plant expressing the expression vector that have an enhanced stress tolerance, including Arabidopsis and soybean, is also provided.

Abstract: Systems and a method for controlling power of a device with power management software are described. In one embodiment, a computer implemented method initiates power control having ON-OFF keying to control power consumption of a device for energy efficiency and energy conservation. An ON-OFF period of the ON-OFF keying for the device is computed. The method sets a target frequency, a target supply voltage, and a power gate control for the device based on the ON-OFF keying.

Abstract: Described is an apparatus for supporting Over-The-Air Hardware Updates comprising a first circuitry, a second circuitry, and a third circuitry. The first circuitry may be operable to be fastened and electrically coupled in one or more regions to one or more respectively corresponding semiconductor dies. The second circuitry may be operable to configure the one or more regions of the first circuitry. The third circuitry may be operable to provide a set of wirelessly-received configuration instructions to the second circuitry.