Abstract: The present description relates to systems, methods, and non-transitory computer readable media for generating digital responses to digital queries by utilizing a classification model and query-specific analysis models. For example, the described systems can train a classification model to generate query classifications corresponding to product queries, conversational queries, and/or recommendation/purchase queries. Moreover, the described systems can apply the classification model to select pertinent models for particular queries. For example, upon classifying a product query, the described systems can utilize a neural ranking model (trained based on a set of training product specifications and training queries) to generate relevance scores for product specifications associated with a digital query.

Abstract: A method for operating at least one trained classifier for measurement data. The classifier comprises a neural network with at least one feature extraction section and at least one classification section. The method includes: processing a record of measurement data with at least the feature extraction section of the classifier; determining a set of neurons in the feature extraction section that are activated by said processing; determining, from a given correspondence between activated neurons and attributes, a set of attributes whose presence in a scene captured by the measurement data is indicated by the activated neurons; comparing attributes to which classes are linked by a given knowledge graph with said determined set of attributes; and evaluating, from the result of this comparison, at least one estimated class as a class to which the scene captured by the record of measurement data is likely to belong.

Abstract: A sheet feeder includes: a sheet rack; a pair of side plates movable along a width of a sheet on the sheet rack and abuttable against both widthwise ends of the sheet; a widthwise drive device that moves the side plates along the width of the sheet; a pair of end detecting devices provided one for each of the side plates and capable of detecting both the ends of the sheet abutting the side plates, respectively; and a control device that includes a processor, controls the widthwise drive device through the processor executing a control program to allow the widthwise drive device to move, based on outputs of the end detecting devices, the side plates until abutment against both the ends of the sheet, acquires respective travel distances of the side plates moved by the widthwise drive device, and determines a size of the sheet based on the travel distances.

Abstract: The present invention is directed towards providing automated workflows for the identification of a reading order from text segments extracted from a document. Ordering the text segments is based on trained natural language models. In some embodiments, the workflows are enabled to perform a method for identifying a sequence associated with a portable document. The methods includes iteratively generating a probabilistic language model, receiving the portable document, and selectively extracting features (such as but not limited to text segments) from the document. The method may generate pairs of features (or feature pair from the extracted features). The method may further generate a score for each of the pairs based on the probabilistic language model and determine an order to features based on the scores. The method may provide the extracted features in the determined order.

Abstract: Systems and methods for natural language processing are described. Embodiments of the present disclosure identify a task set including a plurality of pseudo tasks, wherein each of the plurality of pseudo tasks includes a support set corresponding to a first natural language processing (NLP) task and a query set corresponding to a second NLP task; update a machine learning model in an inner loop based on the support set; update the machine learning model in an outer loop based on the query set; and perform the second NLP task using the machine learning model.

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: A receptacle holder for supporting at least one fluid-containing receptacle includes a body and an RFID transponder. The body includes an electrically conductive portion defining a first recess configured to receive at least a first fluid-containing receptacle, and an electrically non-conductive portion attached to the electrically conductive portion. The RFID transponder is disposed on the electrically non-conductive portion of the body, and stores information about the receptacle holder. The receptacle holder can also include the first fluid-containing receptacle received within the first recess.

Abstract: Provided herein are formulations for liquidless cleansing products having high biobased content. The cleansing formulations may be substantially free of polyvinyl alcohol. The cleansing composition may contain no more than a negligible amount of polyvinyl alcohol. The cleansing composition may contain no detectable amount of polyvinyl alcohol.

Abstract: Provided are a computer program product, system, and method for determining a frequency at which to execute trap code in an execution path of a process executing a program to generate a trap address range to detect potential malicious code. Trap code is executed in response to processing a specified type of command in application code to allocate a trap address range used to detect potentially malicious code. A determination is whether to modify a frequency of executing the trap code in response to processing a specified type of command. The frequency of executing the trap code is modified in response to processing the specified type of command in response to determining to determining to modify the frequency of executing the trap code.

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: Embodiments described herein disclose methods and systems for authorizing transactions received from client applications. The transaction request can include a first access token. After validating the first access token, the system can determine whether additional authentication is needed to authorize the transaction. If additional authentication is needed, the system can determine the authentication requirements. Once the additional authentication is received and verified, the system can generate a second access token and authorize the transaction by releasing the first access token.

Abstract: Systems, methods, and computer-readable media for gathering network intrusion counter-intelligence. A system can maintain a decoy network environment at one or more machines. The system can identify a malicious user accessing network services through the network environment. Further, the system can receive network service access requests from the user at one or more machines in the network environment and subsequently direct the network service access requests from the malicious user to the decoy network environment based on an identification of the malicious user. The network services access requests can be satisfied with network service access responses generated in the decoy network environment. Subsequently, the system can maintain malicious user analytics based on the network service access requests of the malicious user that are directed to the decoy network environment.

Abstract: Described herein are methods, compositions and articles of manufacture involving neutral conjugated polymers including methods for synthesis of neutral conjugated water-soluble polymers with linkers along the polymer main chain structure and terminal end capping units. Such polymers may serve in the fabrication of novel optoelectronic devices and in the development of highly efficient biosensors. The invention further relates to the application of these polymers in assay methods.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for determining multi-term contextual tags for digital content and propagating the multi-term contextual tags to additional digital content. For instance, the disclosed systems can utilize search query supervision to determine and associate multi-term contextual tags (e.g., tags that represent a specific concept based on the order of the terms in the tag) with digital content. Furthermore, the disclosed systems can propagate the multi-term contextual tags determined for the digital content to additional digital content based on similarities between the digital content and additional digital content (e.g., utilizing clustering techniques). Additionally, the disclosed systems can provide digital content as search results based on the associated multi-term contextual tags.

Abstract: Embodiments of the disclosure provide a machine learning model for generating a predicted executable command for an image. The learning model includes an interface configured to obtain an utterance indicating a request associated with the image, an utterance sub-model, a visual sub-model, an attention network, and a selection gate. The machine learning model generates a segment of the predicted executable command from weighted probabilities of each candidate token in a predetermined vocabulary determined based on the visual features, the concept features, current command features, and the utterance features extracted from the utterance or the image.

Abstract: The present invention relates to a method and system for training a machine learning model for medical image classification.

Abstract: A centralized communication system is disclosed that provides a modular, extendible, and scalable communication system that can exchange information between any information systems or networked devices. Adapter interfaces are provided to modify message communications between medical systems in a hospital network, and a graphic interface is provided for modification of communication topology information pertaining to the adapter interfaces in the centralized communication system. The graphical interface provides one or more controls configured to modify at least a portion of the communication topology information, and displays an indication of the modification.

Abstract: A method performed by a terminal in a wireless communication system is provided. The method includes identifying that long term evolution (LTE) radio access technology (RAT) of the terminal is disabled, determining whether each of the terminal and a target network supports voice communication over new radio (VoNR) before searching a NR cell, searching the NR cell in case that the terminal and the target network support the VoNR, determining whether the NR cell supports the VoNR before registration to the NR cell, and selecting a RAT other than the LTE RAT and a NR RAT to obtain a voice service in case that the NR cell does not support the VoNR.

Abstract: Systems and methods for key-phrase extraction are described. The systems and methods include receiving a transcript including a text paragraph and generating key-phrase data for the text paragraph using a key-phrase extraction network. The key-phrase extraction network is trained to identify domain-relevant key-phrase data based on domain data obtained using a domain discriminator network. The systems and methods further include generating meta-data for the transcript based on the key-phrase data.

Abstract: Techniques for training a language model for code switching content are disclosed. Such techniques include, in some embodiments, generating a dataset, which includes identifying one or more portions within textual content in a first language, the identified one or more portions each including one or more of offensive content or non-offensive content; translating the identified one or more salient portions to a second language; and reintegrating the translated one or more portions into the textual content to generate code-switched textual content. In some cases, the textual content in the first language includes offensive content and non-offensive content, the identified one or more portions include the offensive content, and the translated one or more portions include a translated version of the offensive content. In some embodiments, the code-switched textual content is at least part of a synthetic dataset usable to train a language model, such as a multilingual classification model.