Abstract: Techniques for searching documents are described. An exemplary method includes receiving a document search query; querying at least one index based upon the document search query to identify matching data; fetching the identified matched data; determining one or more of a top ranked passage and top ranked documents from the set of documents based upon one or more invocations of one or more machine learning models based at least on the fetched identified matched data and the document search query; and returning one or more of the top ranked passage and the proper subset of documents.

Abstract: The present disclosure relates to organic compound(s) (i.e., compound of formula I or compound of formula IA) and/or a composition including the organic compound(s) useful for utilization of non-coking coal in a blend including coking coal without deterioration of properties of coking coal, wherein the organic compound(s) is capable of releasing hydrogen in the plastic region of coal. The present disclosure provides a simple, economical, non-toxic and efficient method for the preparation of the organic polymer, and a method for utilization of non-coking coal in blend including coking coal without deterioration of the properties of coke.

Abstract: Techniques are described herein for processing video data using a neural network system. For instance, a process can include generating, by a first convolutional layer of an encoder sub-network of the neural network system, output values associated with a luminance channel of a frame. The process can include generating, by a second convolutional layer of the encoder sub-network, output values associated with at least one chrominance channel of the frame. The process can include generating, by a third convolutional layer based on the output values associated with the luminance channel of the frame and the output values associated with the at least one chrominance channel of the frame, a combined representation of the frame. The process can further include generating encoded video data based on the combined representation of the frame.

Abstract: Device and method for configuring a technical system are disclosed, wherein the method includes generating a configuration model from configuration criteria for the technical system and the configuration model represents the technical system as an information model, where generating the configuration model includes validating the configuration criteria based on constraints associated with the technical system and identifying a maximum satisfiable rule set for the validated configuration criteria, the maximum satisfiable rule set being identified by determining a minimum number of conflicting rules to be removed to resolve conflicts with the validated configuration criteria, where the minimum number of conflicting rules being determined for rules ranked below the threshold severity; and by removing at least one of the minimum number of conflicting rules to generate the maximum satisfiable rule set.

Abstract: Embodiments of determining a hydraulic fracture completion configuration for a wellbore that extends through a subterranean formation are provided herein. Embodiments of performing a hydraulic fracturing operation on a wellbore that extends through a subterranean formation are also provided herein.

Abstract: A method for facilitating payment transactions includes receiving, by a server, a flash code request indicative of a transaction amount. A flash code associated with the transaction amount is communicated by the server to the payer device. The flash code is encoded into a flash pattern at the payer device and communicated to a payee device of a payee for executing a payment transaction between the payer and the payee. A first request for the payment transaction is received by the server from the payee device. The first request includes the flash code obtained by decoding the flash pattern at the payee device. The flash code included in the first request is validated by the server. Based on successful validation of the flash code, the transaction amount is deducted from a payer account of the payer and credited to a payee account of the payee.

Abstract: Live video streams are produced using a network server system. The network server system initially receives, via a network, one or more captured video streams that are live streams captured from a remotely-located camera, phone or the like. The captured streams are forwarded to a control device via the network to thereby permit a user of the control device to select one of the captured video streams for output to the video production stream. In response to a command received from the control device that indicates the selected capture stream, the selected capture video streams is encoded for output as the video production stream.

Abstract: Illustrative embodiments represent a dynamic on-demand approach to configuring destination storage for bare metal restore (BMR) operations without operator intervention, including destination storage that is smaller than source storage devices. The illustrative operations rely on system state information collected concurrently with or shortly after source data is backed up, thereby capturing current actual storage metrics for the source data. The illustrative embodiments further rely on enhanced data agent components to collect and restore system state information as well as to restore backup data, thereby streamlining the configurations needed for the BMR operation to proceed. Additional business logic matches source mount points with suitable smaller destination storage resources and ensures that the BMR operation successfully completes with diverse and/or smaller storage destinations.

Abstract: The present disclosure relates to a method for real-time object detection, the method comprising: capturing an image in vicinity of a vehicle; feeding the captured image to a deep fully convolution neural network; extracting one or more relevant features from the captured image; classifying the extracted features using one or more branches to identify different size of objects; predicting objects present in the image based on a predetermined confidence threshold; and marking the predicted objects in the image.

Abstract: The present disclosure discloses systems and method for real-time continuous lane mapping. The technique comprising receiving an input image of a road captured by an image sensor mounted on a vehicle; extracting one or more feature vectors from the image; extracting lane mark coefficients and lane type features from the one or more extracted feature vectors; detecting a lane mark by computing the coefficients and applying a pre-learned value; comparing the lane type relating to right and/or left lane markings with a predefined lane class; classifying the left and/or right lane markings based on the comparison and applying a pre-learned value; and generating a lane map along with the lane markings. The step of the lane detection and the classification is performed simultaneously based on the one or more extracted feature vectors.

Abstract: A method includes flowing a carbon-containing precursor and a carrier gas into a processing volume having a substrate positioned therein, generating a plasma in the processing volume by applying a first RF bias to a substrate support to deposit a first portion of carbon film onto the substrate, and terminating flow of the carbon-containing precursor while maintaining flow of the carrier gas to maintain the plasma within the processing volume. The method also includes flowing a nitrogen-containing gas into the processing volume and ionizing the nitrogen-containing gas in the presence of the plasma, exposing the substrate having the carbon film thereon to the ionized nitrogen-containing gas for a time period less than three seconds, and terminating flow of the nitrogen-containing gas while maintaining the plasma and reintroducing the carbon-containing precursor into the processing volume in the presence of the plasma to deposit a second portion of the carbon film.

Abstract: A computer categorizes a news article by an activity and an associated activity phase, includes receiving, by a computer, at least one news article from an article source. The computer assigns for each news article, an activity of focus selected from a list of target activities, using a first machine learning model. The computer identifies, for each news article, at least one activity phase candidate selected from a list of activity phases associated with the activity of focus, using a second machine learning model. The computer determines, for each of new article, an activity phase of focus from among the activity phase candidates. The determination is based, at least in part on a confirmation attribute associated with the article. The computer categorizes each of the articles by said activity of focus and said activity phase of focus.

Abstract: In one example, a method includes flowing a carbon-containing gas into a processing volume of a process chamber, the process chamber having internal surfaces comprising aluminum, and depositing a carbon film on the internal surfaces of the process chamber. The method also includes flowing fluorine radicals into the process chamber, and fluorinating the carbon film to create a CFx layer on the internal surfaces. The method also includes oxidizing the CFx layer on the internal surfaces creating an AlOCFx layer on the internal surfaces.

Abstract: Systems, methods, and non-transitory computer-readable media can be configured to determine a video embedding for a video content item based at least in part on a first machine learning model. A set of music embeddings can be determined for a set of music content items based at least in part on a second machine learning model. The set of music content items can be ranked based at least in part on the video embedding and the set of music embeddings.

Abstract: Systems and techniques are described herein for processing media content. For example, a process can include obtaining a first media frame and a second media frame. The process can include generating, using a first change detector, a first tag indicating a change above a first change threshold has occurred in the second media frame relative to the first media frame. The process can further include generating, using a machine learning model, a second tag indicating that media content of the second media frame is associated with a particular type of media content. The process can further include determining, based the first tag and the second tag, that the media content of the second media frame is associated with the particular type of media content.

Abstract: Described herein are systems and methods to manage blacklists and duplicate addresses in software defined networks (SDNs). In one implementation, a method includes, in a control plane and data plane of an SDN environment, obtaining a blacklist for a logical port in the SDN environment. The method further includes deleting realized address bindings in a realized address list for the logical port that match the one or more address bindings in the blacklist and preventing subsequent address bindings that match the one or more address bindings in the blacklist from being added to the realized address list.

Abstract: The present invention relates to a continuous micro-electro-flow reactor system for ultra-fast, oxidant free, C—C coupling reaction for making symmetrical biaryls and analogs thereof. This invention further relates to the said process for preparation of antiviral drug, daclatasvir of general formula I.

Abstract: A bone implant includes a proximal end, a distal end, a first portion extending between the proximal and distal ends having a maximum and minimum portion height, and a second portion extending between the proximal and distal ends having a maximum and minimum portion height. The second portion is connected to the first portion at the proximal end and the distal end and at least one of the first portion and the second portion is moveable relative to the other of the first portion and the second portion so as to transition the bone implant between a relaxed state wherein the first and second portions are separated by a first distance and a contracted state wherein the first and second portions are separated by a second distance different from the first distance. At least one of the proximal end and the distal end have the minimum portion height.

Abstract: Machine learning (ML) systems and methods for fact extraction and claim verification are provided. The system receives a claim and retrieves a document from a dataset. The document has a first relatedness score higher than a first threshold, which indicates that ML models of the system determine that the document is most likely to be relevant to the claim. The dataset includes supporting documents and claims including a first group of claims supported by facts from more than two supporting documents and a second group of claims not supported by the supporting documents. The system selects a set of sentences from the document. The set of sentences have second relatedness scores higher than a second threshold, which indicate that the ML models determine that the set of sentences are most likely to be relevant to the claim. The system determines whether the claim includes facts from the set of sentences.

Abstract: [Problem] To provide an autism treatment support system, an autism treatment support device, and a program capable of improving visual concentration of an autistic patient. [Means for solving] This technology relates to an autism treatment support system, an autism treatment support apparatus, and a program. An autism treatment support system includes a tracking unit for tracking a user's eye movement of a display unit of an autism treatment support apparatus, and an analysis unit for analyzing a tendency of the user's eye to move with respect to a gaze of the user with respect to the display unit. A determination unit includes a determination unit that determines a training content based on a tendency of movement of the eye of the user and a skill to be learned by the user determined based on a tendency of movement of the eye of the user, and an execution unit that executes a training program reflecting the determined training content on the autism treatment support apparatus.