Abstract: A retaining ring can be shaped by machining or lapping the bottom surface of the ring to form a shaped profile in the bottom surface. The bottom surface of the retaining ring can include flat, sloped and curved portions. The lapping can be performed using a machine that dedicated for use in lapping the bottom surface of retaining rings. During the lapping the ring can be permitted to rotate freely about an axis of the ring. The bottom surface of the retaining ring can have curved or flat portions.

Abstract: One embodiment provides a method comprising receiving an input content, and receiving ambient contextual data indicative of one or more ambient lighting conditions of an environment including a display device. The input content has corresponding metadata that at least partially represents a creative intent indicative of how the input content is intended to be viewed. The method further comprises adaptively correcting the input content based on the ambient contextual data to preserve the creative intent, and providing the corrected input content to the display device for presentation. The adaptively correcting comprises applying automatic white balancing to the input content to correct color tone of the input content.

Abstract: The disclosure herein includes an expandable luggage assembly, which expandable luggage assembly may include: an upper shell having a plurality of sidewalls; a lower shell having a plurality of sidewalls removably coupled to one more of the plurality of sidewalls of the upper shell; a shelf coupled to the upper shell; a plurality of wheels coupled to the lower shell; and two handles, each handle of the two handles comprising: a crossbar disposed above the upper shell; a first tube coupled to the crossbar and slidably coupled to the upper shell; a second tube slidably coupled to the first tube and capable of being abutted against the upper shell; a third tube slidably coupled to the second tube and coupled to the lower shell.

Abstract: A network slice managing entity, comprising means configured to obtain a service request for a network slice, the service request defining service requirements; request network slice descriptions from a database and selecting at least one network slice which support said service requirements according to the descriptions; generate a resource graph comprising nodes representing infrastructure resources and links representing connections between the nodes, the resource graph depicting resources needed for providing the service, wherein the generating is carried out based on a network slice description of the selected at least one network slice; transmit the resource graph to an infrastructure manager for mapping a topology of said network infrastructure onto said resource graph and determining at least one subset of said network infrastructure; and, receive a mapping result from said infrastructure manager containing said at least one subset of said network infrastructure.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize a neural network having a long short-term memory encoder-decoder architecture to progressively modify a digital image in accordance with a natural language request. For example, in one or more embodiments, the disclosed systems utilize a language-to-operation decoding cell of a language-to-operation neural network to sequentially determine one or more image-modification operations to perform to modify a digital image in accordance with a natural language request. In some cases, the decoding cell determines an image-modification operation to perform partly based on the previously used image-modification operations. The disclosed systems further utilize the decoding cell to determine one or more operation parameters for each selected image-modification operation. The disclosed systems utilize the image-modification operation(s) and operation parameter(s) to modify the digital image (e.g.

Abstract: Techniques and systems are described for performing semantic text searches. A semantic text-searching solution uses a machine learning system (such as a deep learning system) to determine associations between the semantic meanings of words. These associations are not limited by the spelling, syntax, grammar, or even definition of words. Instead, the associations can be based on the context in which characters, words, and/or phrases are used in relation to one another. In response to detecting a request to locate text within an electronic document associated with a keyword, the semantic text-searching solution can return strings within the document that have matching and/or related semantic meanings or contexts, in addition to exact matches (e.g., string matches) within the document. The semantic text-searching solution can then output an indication of the matching strings.

Abstract: A method for determining negative samples for training a knowledge graph embedding of a knowledge graph enhanced by an ontology including at least one constraint for distinguishing a fact of the knowledge graph from a spurious fact. The method comprises determining embedding predicted triples; determining a set of triples that comprises a triple of the knowledge graph and at least one of the predicted triples that are inconsistent with respect to the ontology; determining from the set of triples a replacement entity for the object entity in the at least one triple of the predicted triples; and determining the negative sample to comprise the relation, the subject entity and the replacement entity, or determining from the subset a replacement entity for the subject entity in the at least one triple of the predicted triples and determining the negative sample to comprise the relation, the object entity, and the replacement entity.

Abstract: An electromechanical power switch device and methods thereof. At least some of the illustrative embodiments are devices including a semiconductor substrate, at least one integrated circuit device on a front surface of the semiconductor substrate, an insulating layer on the at least one integrated circuit device, and an electromechanical power switch on the insulating layer. By way of example, the electromechanical power switch may include a source and a drain, a body region disposed between the source and the drain, and a gate including a switching metal layer. In some embodiments, the body region includes a first body portion and a second body portion spaced a distance from the first body portion and defining a body discontinuity therebetween. Additionally, in various examples, the switching metal layer may be disposed over the body discontinuity.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media for generating pairs of natural language queries and corresponding query-language representations. For example, the disclosed systems can generate a contextual representation of a prior-generated dialogue sequence to compare with logical-form rules. In some implementations, the logical-form rules comprise trigger conditions and corresponding logical-form actions for constructing a logical-form representation of a subsequent dialogue sequence. Based on the comparison to logical-form rules indicating satisfaction of one or more trigger conditions, the disclosed systems can perform logical-form actions to generate a logical-form representation of a subsequent dialogue sequence.

Abstract: A method for fabricating light emitting diode (LED) dice includes the steps of: providing a substrate [30], and forming a plurality of die sized semiconductor structures [32] on the substrate [30]. The method also includes the steps of providing a receiving plate [42] having an elastomeric polymer layer [44], placing the substrate [30] and the receiving plate [42] in close proximity with a gap [101] therebetween, and performing a laser lift-off (LLO) process by directing a uniform laser beam through the substrate [30] to the semiconductor layer [50] at an interface with the substrate [30] to lift off the semiconductor structures [32] through the gap [101] onto the elastomeric polymer layer [44]. During the laser lift-off (LLO) process the elastomeric polymer layer [44] functions as a shock absorber to reduce momentum transfer, and as an adhesive surface to hold the semiconductor structures [32] in place on the receiving plate [42].

Abstract: A wideband dual-polarized hourglass-shaped with wedge antenna for a 3G/4G/5G base station is designed using characteristic mode analysis to adjust resonant frequencies. The proposed antenna has a wide bandwidth when adding two pairs of wedges on the radiator, yielding two linear polarizations ±45°, and fulfilling all the requirements of 3G/4G and 5G antenna elements. The antenna is mechanically designed and easy to fabricate with die-casting, thus saving cost since only a single die is required for mass fabrication with low errors and large quantities.

Abstract: Described herein are systems, methods, and programming for analyzing and classifying digital pathology images. Some embodiments include receiving whole slide images (WSIs) and dividing each of the WSIs into tiles. For each WSI, a random subset of the tiles may be selected and augmented views of each of the selected tiles may be generated. For each of the selected tiles, a first convolutional neural network (CNN) may be trained to: generate, using a first one of the augmented views corresponding to the selected tile, a first representation of the selected tile, and predict a second representation of the selected tile to be generated by a second CNN, wherein the second representation is generated based on a second one of the augmented views of the selected tile.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for selecting hyper-parameter sets by utilizing a modified Bayesian optimization approach based on a combination of accuracy and training efficiency metrics of a machine learning model. For example, the disclosed systems can fit accuracy regression and efficiency regression models to observed metrics associated with hyper-parameter sets of a machine learning model. The disclosed systems can also implement a trade-off acquisition function that implements an accuracy-training efficiency balance metric to explore the hyper-parameter feature space and select hyper-parameters for training the machine learning model considering a balance between accuracy and training efficiency.

Abstract: The present invention provides a method for speech separation and recognition. The present invention overcomes the disadvantages of the existing techniques by providing automatic speech recognition and separation that helps managers see what their service agents and customers are saying. From there, quickly and objectively knowing the wishes and concerns of customers as well as whether their service agents can give accurate and correct advice. In addition, the system is constantly updated based on the semi-supervised training mechanism, which means that the system can self-learn from actual data during operation, thereby helping to improve the system's accuracy.

Abstract: The patent provides the system and the method of evaluation the centroid range-bearing processing in high resolution coastal surveillance radars to solve the problem of assessing the quality of centroid processing. The provided system includes blocks: Input data block, parameter calculation block, evaluation and export result block; The provided method includes steps: Loading input data, calculating parameters, evaluating and exporting results. The system and method provided in this invention solve the issue of the quality assessment of the radar system according to the battle-technical specification at the target centroid level.

Abstract: Systems and methods for parsing natural language sentences using an artificial neural network (ANN) are described. Embodiments of the described systems and methods may generate a plurality of word representation matrices for an input sentence, wherein each of the word representation matrices is based on an input matrix of word vectors, a query vector, a matrix of key vectors, and a matrix of value vectors, and wherein a number of the word representation matrices is based on a number of syntactic categories, compress each of the plurality of word representation matrices to produce a plurality of compressed word representation matrices, concatenate the plurality of compressed word representation matrices to produce an output matrix of word vectors, and identify at least one word from the input sentence corresponding to a syntactic category based on the output matrix of word vectors.

Abstract: A method for transferring alignment marks between substrate systems includes providing a substrate having semiconductor devices and alignment marks in precise alignment with the semiconductor devices; and physically transferring and bonding the semiconductor devices and the alignment marks to a temporary substrate of a first substrate system. The method can also include physically transferring and bonding the semiconductor devices and the alignment marks to a mass transfer substrate of a second substrate system; and physically transferring and bonding the semiconductor devices and the alignment marks to a circuitry substrate of a third substrate system. A system for transferring alignment marks between substrate systems includes the substrate having the semiconductor devices and the alignment marks in precise alignment with the semiconductor devices. The system also includes the first substrate system, and can include the second substrate system and the third substrate system.

Abstract: System and methods for a text summarization system are described. In one example, a text summarization system receives an input utterance and determines whether the utterance should be included in a summary of the text. The text summarization system includes an embedding network, a convolution network, an encoding component, and a summary component. The embedding network generates a semantic embedding of an utterance. The convolution network generates a plurality of feature vectors based on the semantic embedding. The encoding component identifies a plurality of latent codes respectively corresponding to the plurality of feature vectors. The summary component identifies a prominent code among the latent codes and to select the utterance as a summary utterance based on the prominent code.

Abstract: A device, computer program, computer-implemented method for training a knowledge graph embedding model of a knowledge graph that is enhanced by an ontology. The method comprises training the knowledge graph embedding model with a first training query and its predetermined answer to reduce, in particular minimize, a distance between an embedding of the answer in the knowledge graph embedding model and an embedding of the first training query in knowledge graph embedding model, and to reduce, in particular minimize, a distance between the embedding of the answer and an embedding of a second training query in knowledge graph embedding model, wherein the second training query is determined from the first training query depending on the ontology.

Abstract: The disclosed embodiments relate to a computer system with a cache memory that supports tagless addressing. During operation, the system receives a request to perform a memory access, wherein the request includes a virtual address. In response to the request, the system performs an address-translation operation, which translates the virtual address into both a physical address and a cache address. Next, the system uses the physical address to access one or more levels of physically addressed cache memory, wherein accessing a given level of physically addressed cache memory involves performing a tag-checking operation based on the physical address. If the access to the one or more levels of physically addressed cache memory fails to hit on a cache line for the memory access, the system uses the cache address to directly index a cache memory, wherein directly indexing the cache memory does not involve performing a tag-checking operation and eliminates the tag storage overhead.