Abstract: A system, method, and computer-readable medium for proving feedback on database instructions, identifying, for example, existing patterns and providing suggested replacement instructions. This may have the effect of improving the efficiency of instructions used to create and/or manipulate databases. According to some aspects, these and other benefits may be achieved by parsing received instructions into an organizational structure, traversing the organizational structure for known patterns, and suggesting replacement patterns. In implementation, this may be effected by receiving one or more sets of known patterns and corresponding replacement patterns, parsing received instructions, comparing the known patterns with the parsed instructions, and providing suggested replacement patterns based on one or more known patterns matching the parsed instructions. A benefit of may include reducing Cartesian products during the merging of tables.

Abstract: Methods and systems are described herein for improving anomaly detection in timeseries datasets. Different machine learning models may be trained to process specific types of timeseries data efficiently and accurately. Thus, selecting a proper machine learning model for identifying anomalies in a specific set of timeseries data may greatly improve accuracy and efficiency of anomaly detection. Another way to improve anomaly detection is to process a multitude of timeseries datasets for a time period (e.g., 90 days) to detect anomalies from those timeseries datasets and then correlate those detected anomalies by generating an anomaly timeseries dataset and identifying anomalies within the anomaly timeseries dataset. Yet another way to improve anomaly detection is to divide a dataset into multiple datasets based on a type of anomaly detection requested.

Abstract: Systems and methods for enhancing customer service are disclosed. The system can perform operations including detecting individuals and performing facial recognition on the individuals using visitor profiles stored by a local database. The operations can further include determining known visitors and unknown visitors among the individuals. The operations can further include generating new visitor profiles for the unknown visitors, obtaining identity information for the unknown visitors, and associating the identity information of the unknown visitors with the new visitor profiles. The operations can further include accessing identify information of the known visitors, obtaining personalized information for the known visitors from a central database, and providing the personalized information to the known visitors.

Abstract: Methods and systems for routing multimedia traffic are described. A method may include receiving a communication originating from a user, transposing an alias transport network over one or more existing networks to route the communication, and routing the communication based on mapping rules.

Abstract: Embodiments disclosed are directed to a computing system that performs steps for automatically capturing images. The computing system receives an automatic image capture control signal from an application installed on a device and captures, by a camera of the device during a predetermined time interval, preview frames of an object and a background. For each of the preview frames, the computing system identifies an outline of the object in the preview frame, removes the background of the preview frame based on the outline to generate a modified preview frame, and determines a focus value of the modified preview frame. Subsequently, the computing system determines whether a predetermined amount of focus values are greater than a threshold focus value corresponding to the device and, if so, automatically captures, via the camera, an image of the object.

Abstract: A payment card security system includes a payment card provider account system communicatively coupled to a payment card transaction device and a mobile device. The payment card transaction device sends an indication that a payment card is being used to perform a transaction. The payment card provider account system includes processors that receive the indication that the payment card is being used to perform the transaction from the payment card transaction device. The processors also send a notification indicating that the payment card is being used to perform the transaction. The processors further enable authorization of the transaction via the mobile device. In this manner, the payment card security system may prevent or reduce the occurrence of suspicious transactions as they are occurring, rather than waiting until after they have occurred.

Abstract: A frac plug defines a central passage therethrough and is movable from an unset to a set position in a well casing. A single slip ring assembly is supported by the bottom shoe and a slip wedge is positioned in slidable relationship to the single slip ring assembly. A sealing element is supported by the slip wedge. A deformable ball seat is movable axially relative to the sealing element and the sealing element is expandable radially outwardly to engage and seal against the well casing upon the application of a force applied thereto by the deformable ball seat.

Abstract: Systems and methods are provided for sending and receiving encrypted submessages. A method for sending and receiving encrypted submessages includes generating a first submessage comprising a first portion of content stored onto a first computer, generating a second submessage comprising a second portion of the content, encrypting the first submessage and the second submessage, transmitting the encrypted first submessage to a second computer via a first path, transmitting the encrypted second submessage to the second computer via a second path, wherein the first submessage and the second submessage are transmitted to the second computer in a batched manner, transmitting an encryption key to the second computer, wherein the encryption key is transmitted to the second computer in real time, wherein the encryption key indicates a decrypting algorithm to decrypt the encrypted first submessage, and wherein the second computer recreates the content by decrypting the encrypted first submessage.

Abstract: There is a need for more effective and efficient predictive data analysis based at least in part on categorical input data. This need can be addressed by, for example, solutions for performing predictive data analysis that utilize at least one of categorical level merging, mutual-information-based feature filtering, feature-correlation-based feature filtering to generate training data feature value arrangements, as well as training and using categorical input machine learning models trained using the training data feature value arrangements.

Abstract: Various embodiments are generally directed to techniques for creating and utilizing multidimensional embedding spaces for data objects, such as to condition the data for input to a neural network, for instance. Some embodiments are particularly directed to converting semi-structured data, such as a set of data objects, into object vector sets mapped to a multidimensional embedding space. In many embodiments, an embedding space for a set of data objects may be customized with a set of dimensions that correspond to various characteristics of the set of data objects. These and other embodiments are described and claimed.

Abstract: Provided are approaches for removing a chip of a transaction card using a chip removal element. In some approaches, the transaction card may include a body including a first main side opposite a second main side, a chip coupled to the first main side of the body, and a chip removal element disposed between the chip and the body. A first end of the chip removal element may be positioned within a tab recess along the first main side of the body, wherein the chip removal element is operable to decouple the chip from the body when the chip removal element is moved away from the body.

Abstract: Techniques are described to automate deployment of an application as a cloud computing service. Such deployment may be accomplished on any underlying host infrastructure. As mentioned above, a typical application may engage in a number of build and deployment processes in order to run on a host computer with an infrastructure type. The techniques described herein may leverage an artificial intelligence computation library to identify which build and deployment processes are required by the application. Once identified, the user may select a host infrastructure type and create a container package with a runtime machine and components configure to run these build and deployment processes for that host infrastructure type. The container package may be used to generate an image from which the host computer can run the application as the cloud computing service. Other embodiments are described and claimed.

Abstract: Systems and methods for performing fraud detection at POA devices based on analysis of feature sets are disclosed. In one embodiment, an exemplary method may comprise: obtaining, by a POS device, upon initiation of a transaction involving a card or a card and mobile device associated with an individual initiating the transaction, one or more sensory inputs and an identifier; mapping, by the POS device, the one or more sensory inputs to a first cluster position of a plurality of clusters; determining whether the cluster position of the cluster mapped for the transaction corresponds to a second cluster position of the at least one expected cluster associated with the known owner of the card and/or mobile device; and initiating, by the POS device, at least one second factor authentication process to establish that the individual is the known owner of the card and/or mobile device being used in the transaction.

Abstract: A computing device may execute a conversational agent that may receive language input. The conversational agent may analyze the language input based on configured goals to determine conclusions regarding the language input. The conversational agent may determine whether to modify the truth of one or more of the conclusions, and whether to include or omit the one or more conclusions or modified conclusions in an output response. The conversational agent may also store justifications for including or omitting each conclusion or modified conclusion. The conversational agent may output a response that indicates the conclusions and/or modified conclusions that were selected for output. A user may request that the conversational agent output the justifications for generating the output response. The conversational agent may output the justifications based on receiving the request.

Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for corrosion analysis using magnetic flux leakage measurements. The present technology can magnetic flux leakage data obtained by a magnetic flux leakage tool placed in a pipe within a wellbore and convert the magnetic flux leakage data into image data. Further, the present technology can provide the image data to a machine learning model. The machine learning model is configured to identify one or more physical parameters associated with corrosion present on the pipe.

Abstract: Machine Learning models to be created for crop mapping for any region, require huge volumes of ground truth data requiring manual effort in generating region specific training dataset. Method and system for providing generalized approach for crop mapping across regions with varying characteristics is disclosed. The method provides automatic generation of a labelled pixel dataset representing cropping pattern of a Region of Interest (ROI) for building a ML crop mapping model for the ROI. The generated labelled pixel dataset captures regional dependency and localized phenological indicators for the ROI. ML crop mapping model is updated using a database, regularly updated for the set of crops and the plurality of features associated with each of the set of crops and corresponding the set of crops.

Abstract: Described herein are systems and techniques for privacy-preserving unsupervised learning. The disclosed system and methods can enable separate computers, operated by separate entities, to perform unsupervised learning jointly based on a pool of their respective data, while preserving privacy. The system improves efficiency and scalability, while preserving privacy and avoids leaking a cluster identification. The system can jointly compute a secure distance via privacy-preserving multiplication of respective data values x and y from the computers based on a 1-out-of-N oblivious transfer (OT). In various embodiments, N may be 2, 4, or some other number of shares. A first computer can express its data value x in base-N. A second computer can form an ×N matrix comprising random numbers mi,0 and the remaining elements mi,j=(yjNi?mi,0) mod . The first computer can receive an output vector from the OT, having components mi=(yxi Ni?mi,0) mod .

Abstract: A computer-implemented method for providing recommendations for matching leads to advisors using a machine learning model.

Abstract: In general terms this invention provides embodiment of systems that permit better usage of consumer generated data that permit the consumer methods to monetize the information and maintain control over the data at the time of its creation and at later times. Certain embodiments comprise a user whose interaction can cause a provider to create data regarding the interaction. The user can authenticate the data using encryption aspects and permit the user to self-publish data. The self-publishing can occur in a manner that only requires direct trust of the technology provider regarding the data validity. The invention may incorporate an Ethereum network. Embodiments of the system may verify, exchange, encrypt and decrypt data allowing purchasers to purchase the data or certain portions of it.

Abstract: Techniques for processing a web with a laser are provided. In an example, an apparatus for processing web material can include multiple processing stages and a laser assembly. Each of the multiple processing stages can be configured to process a moving web of material along a web path. The laser assembly can be configured to process the moving web of material with a laser at a first stage of the multiple stages. The laser assembly can include a laser configured to generate a laser beam, a gimble assembly configured to direct the laser beam along a cut path at a position of a web path of the moving web of material, and a servo driven mirror assembly configured to provide an adjustable field of view for the laser stage at the position of the web path.