Abstract: A downhole hydraulic frac tool for use in a hydraulic fracturing system, the frac tool comprising a dissolvable frac tool member that includes a water-dissolvable composition, the composition including: a water-soluble thermoplastic polymer; and water-soluble bulk metallic glass (BMG) particles, wherein: the BMG particles are embedded within a matrix of the water-soluble thermoplastic polymer, the BMG particles have a greater tensile strength than a tensile strength the water-soluble thermoplastic polymer, and the BMG particles have a higher fracture toughness than a fracture toughness the water-soluble thermoplastic polymer. A method of manufacturing a dissolvable downhole hydraulic frac tool member and, a hydraulic fracturing system associated with a wellbore in which dissolvable downhole hydraulic frac tools of the disclosure can be used, are also disclosed.

Abstract: A method includes acquiring an image of a cutter on a drill bit, determining a cutter dull condition based on the image of the cutter using a machine-learning method, wherein the machine-learning method is trained using a set of training images and a set of known cutter dull conditions, wherein each of the set of known cutter dull conditions is associated with one or more of a set of cutters depicted in the set of training images and determining a cutter degradation severity based the image of the cutter. The method also includes generating bit modification instructions based the cutter dull condition and the cutter degradation severity.

Abstract: A device includes a drill bit body defining an axis of rotation, a plurality of drill blades on the drill bit body, and a shaped cutter secured to at least one of the plurality of drill blades. The shaped cutter including an engagement surface having an exposed partially flattened boundary, wherein a contact point of the engagement surface during drilling is off-centered with respect to a center of the exposed partially flattened boundary.

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.

Abstract: Methods and systems described in this disclosure describe an integration of video sessions across platforms, transforming the user experience. In some embodiments, a user can participate in an interaction via a channel. Next, the system can determine whether the interaction is eligible for a video session with a representative. When the interaction is eligible for the video session, an option for the video session can be displayed on a user interface of the device. After receiving a request for the video session, the video session can be routed to a uniquely skilled representative, where the uniquely skilled representative is determined based, at least in part, on the interaction.

Abstract: In some aspects, methods and systems for a digital trust architecture are provided. In some aspects, the architecture includes a user account provisioning process. The provisioning process may make use of in person verifications of some personal information to ensure authenticity of the user information. Once the authenticity of user information is established, an account may be created. The user account may include a user email account, with integrated access to digital certificates linked to the user account. Account creation may also automatically publish the new user's public key in a publicly accessible directory, enabling encrypted email information to be easily sent to the new user.

Abstract: Techniques to pre-authenticate an identity for an electronic account are described and claimed by the present disclosure. The electronic account may enforce a multi-factor authentication procedure that involves a number of steps. In addition to the electronic account, a user may have other accounts requiring authentications. Successful authentications with respect to those other accounts may provide evidence of the user's identity. If sufficient evidence is present, one or more steps of the multi-factor authentication procedure may be bypassed. 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: Systems, methods, and computer-readable and executable instructions are provided for providing a device agnostic active/active data center. Providing a device agnostic active/active data center can include receiving user communication assigned from a content delivery network (CDN) provider. In addition, providing a device agnostic active/active data center can include determining a designated database for the user communication. Furthermore, providing a device agnostic active/active data center can include assigning a destination address to the designated database for the user communication.

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 described herein may use transformer-based machine classifiers to perform a variety of natural language understanding tasks including, but not limited to sentence classification, named entity recognition, sentence similarity, and question answering. The exceptional performance of transformer-based language models is due to their ability to capture long-term temporal dependencies in input sequences. Machine classifiers may be trained using training data sets for multiple tasks, such as but not limited to sentence classification tasks and sequence labeling tasks. Loss masking may be employed in the machine classifier to jointly train the machine classifier on multiple tasks simultaneously. The user of transformer encoders in the machine classifiers, which treat each output sequence independently of other output sequences, in accordance with aspects of the invention do not require joint labeling to model tasks.

Abstract: Systems and methods for lossless compression of tabular numeric data are provided. The system can include one or more data compression servers executing data compression system code to compress the tabular numeric data, a storage database to store the compressed tabular numeric data, and one or more data decompression servers to decompress the tabular numeric data for use. The one or more data compression servers, the storage database, and the one or more data decompression servers can communicate via a communication network. The system can receive the uncompressed tabular numeric data from one or more data generation systems, processes the uncompressed tabular numeric data with the data compression system code, and generate a compressed table of numeric information, which can be stored in the database, or later decompressed by the one or more data decompression servers.

Abstract: The present disclosure herein provides methods and systems that solves the technical problems of generating an efficient, accurate and light-weight 3-Dimensional (3-D) pose estimation framework for estimating the 3-D pose of an object present in an image used for the 3-dimensional (3D) model registration using deep learning, by training a composite network model with both shape features and image features of the object. The composite network model includes a graph neural network (GNN) for capturing the shape features of the object and a convolution neural network (CNN) for capturing the image features of the object. The graph neural network (GNN) utilizes the local neighbourhood information through the image features of the object and at the same time maintaining global shape property through the shape features of the object, to estimate the 3-D pose of the object.

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: 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: 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: Transaction cards having a security cover to selectively obscure transaction information and related methods are disclosed. A transaction card may include a card body having a first layer and a second layer secured to each other, and a cover portion pivotably movable relative to the second layer about a cover rotation axis coplanar with the first layer via a hinge portion, wherein, when in an obfuscation orientation, the cover portion is coplanar with the first layer such that one or more elements of transaction information is obfuscated when viewing the transaction card.

Abstract: One or more traffic-data sets including traffic probes, which include one or more identifiable items of information obtained from one or more traffic probe devices, are obtained. A traffic flow prediction to be validated is selected. The selected traffic flow prediction is associated with a road segment and a time period. A list of traffic probes to be used in validating the traffic flow prediction is generated. The list of traffic probes includes information obtained from traffic probe devices that travelled an entire length of the road segment during the time period. Travel times of the traffic probe devices that travelled an entire length of the road segment during the time period are ordered, and outliers are removed from the list of traffic probes. A validated traffic-flow prediction is generated based on traffic probes remaining in the list of traffic probes, and the validated traffic-flow prediction is transmitted to an end-user processing device.

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

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.