Abstract: Systems and methods for facilitating an automated customization of user interface are disclosed. The system may include a processor including an AI engine and a Ul engine. The AI engine may receive an input data in the form of a pre-defined template that may facilitate the input data to be received in user-readable format. The AI engine may process the pre-defined template to extract input attributes corresponding to the input data. The AI engine may dynamically map the input attributes with sample attributes of a pre-stored file. Based on the dynamic mapping, the AI engine may obtain a form pertaining to an expected visual representation of the web page. The AI engine may facilitate responsive scaling of the form depending on size attributes of the user interface. The UI engine may include a form engine that may customize the form for generation of the web page.

Abstract: A method to incorporate a first edit and a second edit into an electronic document includes receiving the first edit and the second edit having a shared position in the electronic document, and determining whether the second edit is privileged relative to the first edit. The method further includes responsive to determining that the second edit is not privileged relative to the first edit, requiring the second edit to be independently accepted prior to incorporating the second edit into the electronic document, and responsive to determining that the second edit is privileged relative to the first edit, incorporating the second edit into the electronic document without requiring the second edit to be independently accepted, and responsive to receiving an acceptance of the first edit, causing the first edit and the second edit to be incorporated into the electronic document.

Abstract: An apparatus for digital posting match recommendation and corresponding methods are provided. Apparatus may include a computing device, which may be configured to determine a record recommendation for the user based on a posting datum of a job position and user datum of a user. The computing device may be further configured to provide an interaction preparation related to job position to coach and assist a user in preparing for a real interview process with a potential employer.

Abstract: An annotation corresponding to a first range of text of a first document may be received. Based on the annotation, comparisons may be performed between a text string that comprises the first range of text and a group of text of a second document at different positions in the group of text. Based on the comparisons, similarity scores between the text string and the group of text may be determined at the different positions in the group of text. A position for the annotation in the group of text may be selected based on the similarity scores at the different positions. The annotation may be associated with a second range of text in the group of text that corresponds to the position.

Abstract: Systems, computer program products, and methods are described herein for generating published reports with position mapping identification and template carryover reporting. The present invention is configured to establish a reporting and analytics platform for a user interface and receive, from the user interface, a single-selection input referencing a set of system identification values associated with a first set of data in the reporting and analytics platform. in response to receiving the single-selection input, they system can display a plurality of functional options for the set of system identification values on the user interface. The system may then receive, from the user interface, a selection of a selected functional option of the plurality of functional options, and assigns the selected functional option to the system identification values across the platform. The system then applies the selected functional option to the first set of data in the reporting and analytics platform.

Abstract: Configurations and techniques for a research study management system are disclosed, enabling deployment of an extensible, reproducible, and deployable template for use in assessment, intervention, or other research studies. In an example, a technique to configure a template to use in a research project includes associating the template with one or more instruments to collect project data, associating the template with one or more tools to process the collected project data, associating the template with a data set definition, and defining one or more rules of operation for the template. In a further example, a technique to deploy the template for use in a research project includes defining a schedule based on the template, defining a plurality of configuration parameters of one or more instruments, and deploying the template to engage a human study participant to perform data collection activities via the one or more instruments.

Abstract: A system configures, executes, and monitors document workflows executing using workflow engines executing on cloud platforms. The system generates a platform independent document workflow specification that describes a document workflow configured for execution on any of a plurality of workflow engines, each workflow engine executing on a cloud platform. The system compiles the platform independent document workflow specification to generate a platform specific document workflow specification configured for execution on a target workflow engine executing on a target cloud platform. A document workflow orchestration runtime executes and monitors the execution of the platform specific document workflow specification.

Abstract: An approach for a fast and accurate word embedding model, “desc2vec,” for out-of-dictionary (OOD) words with a model learning from the dictionary descriptions of the word is disclosed. The approach includes determining that a target text element is not in a set of reference text elements, information describing the target text element is obtained. The information comprises a set of descriptive text elements. A set of vectorized representations for the set of descriptive text elements is determined. A target vectorized representation for the target text element is determined based on the set of vectorized representations using a machine learning model. The machine learning model is trained to represent a predetermined association between the set of vectorized representations for the set of descriptive text elements describing the target text element and the target vectorized representation.

Abstract: Embodiments include computer-implemented methods and systems for detecting undesirable and potentially harmful online behavior. The embodiments described and claimed could also be applied to detecting any other type of online behavior to be detected, but the descriptions focuses on detecting online violence. More particularly, the embodiments disclosed relate to detecting online violence using symbolic methods of natural language processing (NLP) that utilize and govern the usage of: 1) syntactic parser for analyzing grammatical context of the input text data, 2) unsupervised learning methods for improving selected aspects of the system and adjusting the system to new data sources and guidelines, and 3) statistical classifiers for resolving specific well-defined sub-tasks, in which statistical approaches surpass the symbolic methods.

Abstract: The disclosure provides a text recognition method, an electronic device, and a storage medium. The method includes: obtaining N segments of a sample text; inputting each of the N segments into a preset initial language model in sequence, to obtain first text vector information corresponding to the N segments; inputting each of the N segments into the initial language model in sequence again, to obtain second text vector information corresponding to a currently input segment; in response to determining that the currently input segment has the mask, predicting the mask according to the second text vector information and the first text vector information to obtain a predicted word at a target position corresponding to the mask; training the initial language model according to an original word and the predicted word to generate a long text language model; and recognizing an input text through the long text language model.

Abstract: Systems and methods for enhanced classification of sequences of objects based on clique similarity and metadata associated with the sequences are presented. Sequences are received. Events are detected based on analyzing k-skip-n-grams included in the sequences. For each event of the detected plurality of events, a graph is generated. The graph for a particular event includes z-cliques that correspond to portions of the k-skip-n-grams that are included in the sequences that are associated with the particular event. A first sequence, which is separate from the other sequences, is received. The first sequence includes a first plurality of k-skip-n-grams. A trained classifier is employed to classify the first sequence as being associated with a first event of the detected events. Classifying the first sequence is based on a comparison between the first plurality of k-skip-n-grams and the z-cliques of the graph that is generated for the first event.

Abstract: A method, a computing device, and a non-transitory machine-readable medium for detecting personal information. Terms that are of interest are extracted from a corpus of raw text that has been extracted from a collection of documents. For each of the terms, a surrounding sentence is extracted to form a target sentence to thereby form a plurality of target sentences. The surrounding sentence includes at least one reference to a data subject. A matrix of feature information is generated for each of the target sentences to form a plurality of matrices. A neural network model is trained, using the matrices as input, to compute an output that indicates a likelihood of a given sentence containing personal information.

Abstract: A tool for managing text-item recognition systems such as NER (Named Entity Recognition) systems. The tool applies the system to a text corpus containing instances of text items, such as named entities, to be recognized by the system, and selecting from the text corpus a set of instances of text items which the system recognized. The tool tokenizes the text corpus such that each instance in the aforementioned set is encoded as a single token and processing the tokenized text via a word embedding scheme to generate a word embedding matrix. The tool, responsive to selecting a seed token corresponding to an instance in the aforementioned set, performs a nearest-neighbor search of the embedding space to identify a set of neighboring tokens for the seed token, and identifies the text corresponding to each neighboring token as a potential instance of a text item to be annotated.

Abstract: Implementations of the disclosure are directed to OCR error correction systems and methods. In some implementations, a method comprises: obtaining, at a computing device, optical character recognition (OCR) text extracted from a document image, the text comprising a token; searching, at the computing device, based on a token bigram determined from the token and a mapping between words in a corpus and a corpus bigram set comprised of unique bigrams from the beginning or ending of the words in the corpus, the corpus for a best word to replace the token; and replacing, at the computing device, the token with the best word.

Abstract: Systems and methods for improvements in AI model learning and updating are provided. The model updating may reuse existing business conversations as the training data set. Features within the dataset may be defined and extracted. Models may be selected and parameters for the models defined. Within a distributed computing setting the parameters may be optimized, and the models deployed. The training data may be augmented over time to improve the models. Deep learning models may be employed to improve system accuracy, as can active learning techniques. The models developed and updated may be employed by a response system generally, or may function to enable specific types of AI systems. One such a system may be an AI assistant that is designed to take use cases and objectives, and execute tasks until the objectives are met. Another system capable of leveraging the models includes an automated question answering system utilizing approved answers.

Abstract: In an approach to interpreting and summarizing online terms of use, a computer receives a terms of use agreement from a data source and a request for interpretation of the terms of use agreement from a user. A computer categorizes the terms of use agreement into one or more categories based on a type of data source of the terms of use agreement. A computer ranks one or more words in the terms of use agreement based on the categorization and on one or more additional terms of use agreements of the type of data source. A computer generates a summary of the terms of use agreement based on the ranking. A computer displays the summary of the terms of use agreement to the user. A computer receives input from the user associated with consent to the terms of use agreement. A computer stores the input.

Abstract: A method for expanding an initial ontology via processing of communication data, wherein the initial ontology is a structural representation of language elements comprising a set of entities, a set of terms, a set of term-entity associations, a set of entity-association rules, a set of abstract relations, and a set of relation instances. A method for extracting a set of significant phrases and a set of significant phrase co-occurrences from an input set of documents further includes utilizing the terms to identify relations within the training set of communication data, wherein a relation is a pair of terms that appear in proximity to one another.

Abstract: A method, computer program, and computer system is provided for extracting relations between one or more entities in a sentence. A forest corresponding to probabilities of relations between each pair of the entities is generated, and the generated forest generated forest is encoded with relation information for each of the pairs of entities. One or more features are extracted based on the generated forest and the encoded relation information, and a relation is predicted between the entities of each pair of entities based on the extracted features.

Abstract: A dialog apparatus 100 is an apparatus for responding to a dialog act of a user. The dialog apparatus 100 is provided with: a policy unit 40 configured to set a score to each of response candidates included in a set of response candidates based on the state of a dialog being performed with the user and a policy parameter, and referring to the set scores, to select one of the response candidates as a dialog act of the dialog apparatus 100; and a policy parameter updating unit 60 configured to obtain a reward in the state of the dialog using a reward function that, as the reward, returns an evaluation of a behavior performed in a specific circumstance as a quantitatively represented numeric value, and to update the policy parameter based on the obtained reward.

Abstract: The present disclosure relates to different techniques of controlling an agricultural system, as for example a controlled agricultural system, an agricultural light fixture and a method for agricultural management. Furthermore, the disclosure relates to an agricultural system, which comprises a plurality of processing lines for growing plants of a given plant type, wherein a first processing line in the plurality of processing lines is configured to move a first plurality of plants through the agricultural system along a route; and apply a first growth condition to the first plurality of plants to satisfy a first active agent parameter for the first plurality of plants.

Abstract: The following relates generally to voice assisted healthcare. In some embodiments, a digital assistant receives audio data, and determines an intent from the audio data. The digital assistant may then match the determined intent to a flow of a set of flows, where the set of flows may include at least one of: (i) submitting a prescription, (ii) refilling a prescription, (iii) changing a pickup location, (iv) requesting a status update for a prescription, or (v) initiating a pharmacy chat session. The matched flow of the set of flows may then be executed.

Abstract: A software agent, that is used to assist in providing a service, receives communications from a set of users that are attempting to use the software agent. The communications include communications that are interacting with the software agent, and communications that are not interacting with the software agent. The software agent performs natural language processing on all communications to identify such things as user sentiment, user concerns or other items in the content of the messages, and also to identify actions taken by the users in order to obtain a measure of user satisfaction with the software agent. One or more action signals are then generated based upon the identified user satisfaction with the software agent.

Abstract: Provided are a data processing method, an electronic device and a storage medium. The method include: acquiring pending word vectors; acquiring multi-head attention vectors based on the pending word vectors, the multi-head attention vectors including first and second multi-head attention vectors; acquiring, based on the first multi-head attention vector, a first hidden semantic representation corresponding to the sentence; acquiring, based on the second multi-head attention vector, a second hidden semantic representation corresponding to the target word; acquiring a classification feature vector, based on the first and second hidden semantic representations; and acquiring, based on the classification feature vector, a sentiment polarity category of the sentence, and performing a sentiment classification on the sentence.

Abstract: Methods and systems are described for generating dynamic conversational responses using machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The machine learning model may provide these features by monitoring one or more user actions and/or lengths of time between one or more user actions during conversational interactions.

Abstract: In a variety of embodiments, machine classifiers may model multi-turn dialogue as a one-to-many prediction task. The machine classifier may be trained using adversarial bootstrapping between a generator and a discriminator with multi-turn capabilities. The machine classifiers may be trained in both auto-regressive and traditional teacher-forcing modes, with the generator including a hierarchical recurrent encoder-decoder network and the discriminator including a bi-directional recurrent neural network. The discriminator input may include a mixture of ground truth labels, the teacher-forcing outputs of the generator, and/or noise data. This mixture of input data may allow for richer feedback on the autoregressive outputs of the generator. The outputs can be ranked based on the discriminator feedback and a response selected from the ranked outputs.

Abstract: The dialogue system includes a ranking determination unit configured to determine a priority ranking of the resulting sentence candidates on the basis of a degree of coincidence between the input key group and the storage key group, and a presentation unit configured to present a response for prompting a user to make an additional input on the basis of a resulting sentence candidate of a highest priority ranking. In a case where there is the stored keyword which is in a predetermined correspondence relation with the character string, the keyword acquisition unit acquires the input keyword obtained by adding additional information to the stored keyword. In a case where the additional information is added to the input keyword, the ranking determination unit reduces an influence of the input keyword to which the additional information is added on the degree of coincidence.

Abstract: A method for intent-based natural language processing may include a conversation engine receiving text of an utterance in a conversation from a conversation program, storing a session identifier for the conversation and a conversation state for the conversation, selecting one of a plurality a priority of intents based on the text of the utterance, communicating the text of the utterance to a natural language understanding computer program, receiving a plurality of potential intents and a confidence score for each potential intent from the natural language understanding computer program, selecting a selected intent based on the selected priority of intents, the potential intents, and the confidence scores, executing intent logic associated with the selected intent, updating the conversation state in the database based on the executed intent logic, and returning a response to the conversation program based on the executed intent logic.

Abstract: Methods and systems are presented for providing automated online chat assistance in multiple languages. A query in a first language is received via a chat robot from a user device. The query is machine-translated into a second language and transmitted to an artificial intelligence system that includes a dialog tree configured in the second language. The artificial intelligence system determines a response in the second language to the query by locating a node corresponding to an intent based on the query in the dialog tree. The node includes a node ID and response text in the second language. The artificial intelligence system transmits the second-language response including the node ID to the chat robot. The second-language response is intercepted, and first-language response text corresponding to the second-language response text is determined based on the node ID. The second-language response text is then provided to the user device by the chat robot.

Abstract: A document reader including a housing having a lower portion and a rotatable upper lid; an optical reader located in the lower portion; a first RFID chip reader located in the lower portion, including a first RFID antenna configured for a first frequency of operation; a second RFID chip reader located in the rotatable, including a second RFID antenna configured for a second frequency of operation. The document reader first turns on the optical reader to detects and analyze a document placed between the lower portion and the rotatable upper lid, then turns on the second RFID chip reader to detect a second RFID chip in the document to read data from it at the second frequency, and then shuts off the second RFID chip reader, and then turns on the first RFID chip reader to detect a first RFID chip in the document to read data from it.

Abstract: Systems and methods to selectively attach and control antennas via diodes. In one embodiment, a system includes: a reader having a plurality of reader antennas of different polarizations to transmit radio frequency signals; and at least one radio frequency device. The radio frequency device includes: a plurality of tag antennas of different polarizations; a plurality of diodes coupled to the plurality of tag antennas respectively; a receiver coupled to the plurality of diodes to receive the radio frequency signals from the tag antennas when the diodes are forward biased; and a set of one or more current controllers coupled to the plurality of diodes. In a receiving mode the controllers selectively forward bias the diodes to receive the signals from the reader. In a transmitting mode the controllers selectively change the state of the tag antennas to transmit data via backscattering the radio frequency signals.

Abstract: A vehicle window includes a first glass pane, a transponder having an antenna and a control unit for communicating with a reader, wherein the control unit includes a memory for storing identification data. A reflector is associated with and spaced apart from the transponder for increasing an antenna gain of the antenna, wherein the reflector is implemented as a transparent, electrically conductive coating and/or as a metallic ring.

Abstract: A computer-implemented system and method for entity tracking and identification is provided. A tracker associated with an entity is tracked. Communication is continuously attempted between the tracker and a tracking device associated with an individual in custody of the entity. During one of the attempted communications, an absence of the tracker is determined by identifying a time of the attempted communication and applying a time threshold to the time for the attempted communication. The absence of the tracker is identified when no communication has been established with the tracking device within the time threshold. The entity is classified as missing when the absence of the tracker is determined.

Abstract: An RFID transponder including a Bluetooth compatible transceiver is described as a (BLEET). The Bluetooth® compatible transceiver may be configured to set data that is transmitted via one or more RFID transceivers in the transponder and to return data received by the RFID transceiver(s) to a client application running, for example, on a user's smart phone. The BLEET may be used for electronic vehicle tracking or tolling. Vehicle occupancy data may be set by the user with the client application via a Bluetooth® connection in connection with high occupancy vehicle tolling and express lane incentive programs.

Abstract: A first signal is ready from a first machine-readable object, which may be part of a peg stored in a surgical asset tray. A first part number of a first surgical asset is identified based on the first signal. A label is printed to include a first machine-readable visual indicia representing the first part number. A second signal is optically read from the first machine-readable visual indicia. The first part number of the first surgical asset is identified based on the second signal. The first part number of the first surgical asset is stored in a non-transitory computer-readable medium. This method enables information about surgical assets used in the field to be transferred from machine-readable objects into electronic data stores efficiently, effectively, and semi-automatically.

Abstract: A system and method providing device configuration using quick response (QR) and/or other machine readable codes. The system and method reduce the time and costs associated with configuring devices/equipment based on site plans while also reducing the potential for errors during the configuration process.

Abstract: An image formation apparatus includes a communication unit, a controller, an operation unit, and an image forming device. The communication unit is configured to receive, as a printing job, a printing setting and printing data. The printing setting includes a size corresponding to one of a longitudinal-feed envelope and a lateral-feed envelope, but does not designate which of the longitudinal-feed and lateral-feed envelopes undergoes printing. The raster image generator is configured to generate a raster image corresponding to the longitudinal-feed envelope and a raster image corresponding to the lateral-feed envelope in accordance with the printing data. The operation unit is configured to display a screen that receives a selection between the longitudinal-feed and lateral-feed envelopes to receive the selection made by a user. The image forming device is configured to perform printing with the raster image corresponding to the longitudinal-feed or lateral-feed envelope selected.

Abstract: A printing system includes an offline estimation device that provides estimates for ink or toner use for a print job at a target printing device. The offline estimation device retrieves digital front end (DFE) version information, configuration setting information, and color printing resources from the target printing device. Using the DFE version information, the offline estimation device selects a raster image processor (RIP) from a plurality of RIPs of software versions available within the printing system. The offline estimation device configures the RIP with configuration settings of the configuration setting information. The color printing resources also are pushed to the RIP. The offline estimation device provides the ink or toner use estimate using the configured RIP.

Abstract: A printer includes a printing device including a print head, a first moving device, and a second moving device, and a controller. The controller is configured to generate first partial-dot-data by executing a first generating process with respect to first partial-image data and generate second partial-dot-data by executing a second generating process with respect to second partial-image-data. In the second generating process, the controller determines a degree of reduction in density by the second generating process to a first degree of reduction in a first case where a particular condition including a code condition that is satisfied when the second partial-image includes at least a portion of a code image is satisfied, and determine the degree of reduction in density by the second generating process to a second degree different from the first degree of reduction when the second partial-image does not include the code image.

Abstract: A transaction card, and processes for the manufacture thereof, having a core layer, optionally, one or more layers or coatings over the core layer, and at least one of a magnetic stripe, a machine readable code, and a payment module chip disposed in or on the card and suitable for rendering the card operable for conducting a transaction. The core layer comprises a metal-doped cured epoxy comprised of metal particles distributed in a binder consisting essentially of a cured, polymerized epoxy resin, the core comprising greater than 50%, preferably greater than 75%, and more preferably greater than 90%, of the weight and/or volume of the card. In some embodiments, the core includes a metal insert enveloped with the metal-doped curable epoxy, wherein the periphery of the epoxy extends beyond the periphery of the metal insert and has material properties more conducive to cutting or punching than the metal insert.

Abstract: A Radio Frequency Identification (RFID) system for attaching to fabrics, includes a device having a dielectric base and cover layers, and a conductive foil having a slit. The conductive foil is provided between the dielectric base and cover layers, and is configured to refract magnetic waves emitted by an RFID reader. Further, a rigid electronic module having an antenna that fits in the slit. The rigid electronic module is provided between the conductive foil and the dielectric cover layer. Said slit being longitudinal and centred on the conductive foil to allow distribution of the magnetic field lines. The magnetic field crosses the conductive foil through the slit, thereby activating the rigid electronic module and amplifying a signal emitted thereby. Furthermore, a fabric layer structurally supports said device. The dielectric base and cover layers, the rigid electronic module, the conductive foil, and the fabric layer are fused together.

Abstract: In an embodiment a method for dynamic power control of a power level transmitted by an antenna of a contactless reader is disclosed. The method may include supplying a power to the antenna and performing at least one power adjusting cycle for adjusting a power level during a contactless transaction with a transponder, each power adjusting cycle including modifying the power supplied to the antenna to a predetermined level of power, performing a first measuring of a loading effect on the antenna at the predetermined level of power and adjusting the power level according to the measured loading effect.

Abstract: A basic insulating plug and an electric system. The basic insulating plug includes an insulating housing, a first conductor, a first RFID tag and insulating filler. The first conductor includes a first end arranged in the insulating housing. The first RFID tag is located at an end surface of the first end or on a lateral side of the first conductor. The first RFID includes a temperature sensor configured to measure a temperature of the first conductor, an integrated circuit coupled to the temperature sensor and configured to receive a signal indicative of the temperature from the temperature sensor, and an antenna coupled to the IC and configured to transmit temperature data based on the signal and receive electric power for powering the RFID tag. The insulating filler is adapted to fix the first RFID to the first conductor by filling a void between the first conductor and an internal surface of the insulating housing.

Abstract: A light emitting apparatus recognition system includes a light emitting apparatus, an image capturing apparatus, a recognition apparatus, and an electromagnetic wave emitting element. The light emitting apparatus includes a light source that blinks on the basis of identification information unique to the light emitting apparatus and an electromagnetic wave receiving element. The image capturing apparatus captures an image of light emitted by the light source of the light emitting apparatus. The recognition apparatus recognizes the light emitting apparatus on the basis of the light appearing in the image captured by the image capturing apparatus. The electromagnetic wave emitting element emits an electromagnetic wave from the image capturing apparatus or a vicinity of the image capturing apparatus. The electromagnetic wave receiving element receives the electromagnetic wave emitted by the electromagnetic wave emitting element.

Abstract: A dual band transponder comprises a carrier substrate having at least one planar substrate layer. An ultra-high frequency loop antenna is mounted on a first surface of one of the planar substrate layers of the carrier substrate. A high frequency loop antenna is mounted on two opposite surfaces of one of the planar substrate layers of the carrier substrate. The ultra-high frequency loop antenna encloses the high frequency loop antenna in a plane parallel to the at least one planar substrate layer entirely. A textile label includes a textile label substrate and a corresponding dual band transponder mounted onto the textile label substrate.

Abstract: A cable-tie carrier is disclosed herein that includes a chip holder with a recess cavity for holding an electronic chip and a cable that is removably attached to the chip holder. The electronic chip stores identification information or testing data that may be used to identify and track the part. External computing devices (e.g., smart phone, tablet, scanner) may access the stored identification information or testing data for a user. The electronic chip is fastened, magnetically attached, or stuck with adhesive to the chip holder to position a transmitter (or antenna) to face out of the recess cavity.

Abstract: A radio frequency identification (RFID) switch tag exemplarily includes: a housing; a detachable card including: a booster antenna, and at least one ultra-high frequency RFID module uncoupled to the booster antenna when the detachable card is detached from the housing; and a coupling coil, configured to couple the booster antenna with one of the at least one ultra-high frequency RFID module when the detachable card is attached to the housing. The RFID switch tag may have complete functions, the RFID switch tag is detachable and convenient in use, and the RFID switch tag can be applied in various scenarios.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an action selection policy neural network, wherein the action selection policy neural network is configured to process an observation characterizing a state of an environment to generate an action selection policy output, wherein the action selection policy output is used to select an action to be performed by an agent interacting with an environment. In one aspect, a method comprises: obtaining an observation characterizing a state of the environment subsequent to the agent performing a selected action; generating a latent representation of the observation; processing the latent representation of the observation using a discriminator neural network to generate an imitation score; determining a reward from the imitation score; and adjusting the current values of the action selection policy neural network parameters based on the reward using a reinforcement learning training technique.

Abstract: An apparatus, methods and systems for data collection in an industrial environment are disclosed. A monitoring system can include a data collector coupled to a plurality of sensors to collect data, a data storage structured to store a plurality of data collection management plans, a data acquisition circuit structured to interpret a plurality of detection values from the collected data, and a data analysis circuit structured to analyze the collected data and select one of the plurality of data collection management plans, wherein the selected one of the plurality of data collection management plans is selected is at least in part based on a data analysis of received data from the plurality of sensors.

Abstract: Techniques are described for reducing the number of parameters of a deep neural network model. According to one or more embodiments, a device can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a structure extraction component that determines a number of input nodes associated with a fully connected layer of a deep neural network model. The computer executable components can further comprise a transformation component that replaces the fully connected layer with a number of sparsely connected sublayers, wherein the sparsely connected sublayers have fewer connections than the fully connecter layer, and wherein the number of sparsely connected sublayers is determined based on a defined decrease to the number of input nodes.

Abstract: Systems and methods for pipelined neural network processing with continuous and asynchronous updates are described. A method for processing a neural network comprising L layers, where L is an integer greater than two, includes partitioning the L layers among a set of computing resources configured to process forward passes and backward passes associated with each of the L layers. The method further includes initiating processing of the forward passes and the backward passes using the set of computing resources. The method further includes upon completion of a first set of forward passes and a first set of backward passes associated with a first layer of the L layers, initiating update of parameters associated with the first layer when gradients are available for updating the parameters associated with the first layer without waiting to calculate gradients associated with any of remaining L layers.