Abstract: A secure method for resetting the password for an account is disclosed. During the setup of the account, the user can provide the service provider with a media file, and when the user asks the service provider to reset the password for the account, the user will be prompted with several media files. The user can be asked to identify the media file that the user provided to the service provider at the time of the setup of the account. If the user properly identifies the media file, the password will be reset.

Abstract: A transaction terminal silent alarm system having processor(s) and memory storing instructions that, when executed by the processor(s), cause the system to perform a method is disclosed. Upon receiving, from a user device, an authentication request to complete a transaction at a transaction terminal, the system may determine whether a fingerprint scan matches a stored fingerprint. Responsive to the fingerprint scan matching a stored normal fingerprint and absent receiving another fingerprint that matches a stored cancellation fingerprint, the system may direct the transaction terminal to complete the transaction. Responsive to the fingerprint scan matching a stored under-duress fingerprint, the system may direct the transaction terminal to send a silent alert to law enforcement and direct the transaction terminal to delay the transaction. Responsive to the fingerprint scan not matching any stored fingerprints, the system may direct the user device to display a fingerprint rescan message.

Abstract: A valve can include a valve body having an inlet, an outlet, an orifice disposed fluidically between the inlet and the outlet, a fitting having a first end configured to be removably coupled with at least one of the inlet and the outlet of the valve body and a second end configured to be coupled to a fluid conduit, and a retainer configured to at least partially resist uncoupling of the fitting from the valve body. A fitting can be configured to slidingly and sealingly engage at least a portion of an inlet and/or outlet bore. A retainer can be configured to couple with a valve body and a fitting. A fitting can be or include a crimp or press fitting, in whole or in part.

Abstract: A computer-implemented method includes tracking, by a computing device, user browsing activity of a first page having known elements; mapping, by the computing device, the user browsing activity to the known elements; storing, by the computing device, mapping information that maps the user browsing activity to the known elements; tracking, by the computing device, user browsing activity of a second page having unknown elements; identifying, by the computing device, the unknown elements based on the mapping information and the user browsing activity of the second page; and executing, by the computing device, one or more computer-based instructions based on the determining the unknown elements that were identified.

Abstract: A system for performing one or more steps of a method is disclosed. The method includes receiving a first legal clause, generating, using a segmentation algorithm, a first hidden Markov chain comprising a plurality of first nodes based on the first legal clause, each of the plurality of first nodes corresponding to an element of the first legal clause, generating, using the segmentation algorithm, a second hidden Markov chain comprising a plurality of second nodes based on the second legal clause, each of the plurality of second nodes corresponding to an element of the second legal clause, comparing each of the plurality of first nodes with each of the plurality of second nodes to identify a difference for each of the plurality of first nodes, determine, based on the comparison, whether the difference for each of the plurality of first nodes exceeds a predetermined difference threshold.

Abstract: A continuous solution polymerization process is disclosed wherein at least two catalyst formulations are employed. A first homogeneous catalyst formulation is employed in a first reactor to produce a first ethylene interpolymer and a first heterogeneous catalyst formulation is employed in a second reactor to produce a second ethylene interpolymer. Optionally a third ethylene interpolymer is formed in a third reactor. The resulting ethylene interpolymer products possess desirable properties in a variety of end use applications, for example in film applications. A means for increasing the molecular weight of the first ethylene interpolymer is disclosed and/or a means for increasing the temperature of the first reactor, relative to a third homogeneous catalyst formulation. A means for reducing the (?-olefin/ethylene) weight ratio in the first reactor is disclosed and/or reducing the density of the first ethylene interpolymer, relative to a third homogeneous catalyst formulation.

Abstract: This disclosure relates to an improved continuous solution polymerization process wherein production rate is increased. Process solvent, ethylene, optional comonomers, optional hydrogen and a bridged metallocene catalyst formulation are injected into a first reactor to form a first ethylene interpolymer. Optionally, process solvent, ethylene, optional comonomers, optional hydrogen and a bridged metallocene catalyst formulation are injected into a second reactor forming a second ethylene interpolymer. The first and second reactors may be configured in series or parallel modes of operation. Optionally, a third ethylene interpolymer is formed in a third reactor, wherein a homogeneous catalyst formulation or a heterogeneous catalyst formulation is employed. In solution, the first, optional second and optional third ethylene interpolymers are combined, the catalyst is deactivated, the solution is optionally passivated and following a phase separation process an ethylene interpolymer product is recovered.

Abstract: The present disclosure provides computing systems and techniques for evaluating effectiveness of models used to generate product offers. A server can generate a product offer from one of a number of customer engagement models. The server can determine an effectiveness of each of the models based on user interactions with the precut offers. The determined effectiveness can be used to specify a dominant or baseline model to be used in a majority of instances.

Abstract: Systems and methods for augmented reality authentication of a user are described, including authenticating a user by presenting the user with augmented reality authentication challenges, evaluating the user's response, and using the response to authenticate the user.

Abstract: Logic may create new images by adding more than one synthetic image on a template. Logic may provide a template with a background for a new image. Logic may provide a set of models, each model to comprise a generative adversarial network (GAN), the GANs pretrained independently to generate different synthetic images. Logic may select two or more models from the set of models. Logic may generate, by the two or more models, two or more of the different synthetic images. Logic may combine the two or more of the different synthetic images with the template to create the new image. And logic may train a set of GANs independently, to generate one of two or more different synthetic images on a blank image background, the different synthetic images to comprise a subset of the multiple features of a new image.

Abstract: Exemplary embodiments may use word embeddings to enhance scanning of programming code scripts for sensitive subject matter, such as confidential subject matter. The scanning may be performed by a neural network in some exemplary embodiments. The neural network initially may be trained on a corpus of programming code scripts to identify keywords relating to sensitive subject matter, such as passwords, tokens or credentials. The neural network may not only identify instances of the keywords but also may identify related terms as well. The output of the scan may be a ranked list of terms in the programming code script that may relate to sensitive subject matter.

Abstract: A method for generating a dual-class dataset is disclosed. A single-class dataset and a context dataset are obtained. The context dataset can be labeled. A model can be trained using the combination of the single-class dataset and the labeled context dataset. The model can be run on the context dataset. The data points that are classified the same as the data points included in the single-class dataset, can be removed from the labeled context dataset and added to the single-class dataset. These steps can be repeated until no data points are classified by the model.

Abstract: A device receives video data concerning a plurality of customers and a product in a plurality of physical retail locations. The device processes the video data and determines actions of the plurality of customers in relation to the product in the plurality of physical retail locations, by: determining, for a customer of the plurality of customers, an activity of the customer in relation to the product, and determining, for the customer, an eye gaze direction of the customer relative to the product. The device determines categories for the actions of the plurality of customers in relation to the product. The device generates a report that indicates one or more of the categories for the actions of the plurality of customers in relation to the product and sends the report to a client device to permit the client device to display the report.

Abstract: Embodiments of systems and methods for generating user interfaces are described. In an embodiment, a monitoring tool can observe the user's interaction with a computing device, collect input and output operation data, and calculate a user effectiveness score based on the collected data. A user interface can be generated based on the user effectiveness score to match the user's proficiency.

Abstract: An ATM device may receive a request to process an ATM transaction; dispense, via an instrument dispenser, a plurality of instruments based on the request; perform image segmentation of one or more images of an area surrounding the instrument dispenser, wherein the image segmentation is performed using a deep learning network trained using synthetic models of hands; detect, based on performing the image segmentation, that a user's hand approaches the instrument dispenser after dispensing the plurality of instruments; determine, after dispensing the plurality of instruments and after detecting that the user's hand approaches the instrument dispenser, that a portion of the plurality of instruments is present at the instrument dispenser; and perform one or more actions based on determining that the portion of the plurality of instruments is present at the instrument dispenser.

Abstract: A device and a backend server are described. The device can determine whether it has entered an indoor location, and once in the indoor location, the device can communicate with the server the name of the location. The device can determine the current location of the user in the indoor location, and based on the floorplan and the indoor location of an item, the device can direct the user to the item. The floorplan can be constructed based on data accumulated from various visitors of the indoor location.

Abstract: A continuous solution polymerization process is disclosed wherein at least two catalyst formulations are employed. A first homogeneous catalyst formulation is employed in a first reactor to produce a first ethylene interpolymer and a first heterogeneous catalyst formulation is employed in a second reactor to produce a second ethylene interpolymer. Optionally a third ethylene interpolymer is formed in a third reactor. The resulting ethylene interpolymer products possess desirable properties in a variety of end use applications, for example in film applications. A means for increasing the molecular weight of the first ethylene interpolymer is disclosed and/or a means for increasing the temperature of the first reactor, relative to a third homogeneous catalyst formulation. A means for reducing the (?-olefin/ethylene) weight ratio in the first reactor is disclosed and/or reducing the density of the first ethylene interpolymer, relative to a third homogeneous catalyst formulation.

Abstract: In some implementations, a training platform may receive data for generating synthetic models of a body part, such as a hand. The data may include information relating to a plurality of potential poses of the hand. The training platform may generate a set of synthetic models of the hand based on the information, where each synthetic model, in the set of synthetic models, representing a respective pose of the plurality of potential poses. The training platform may derive an additional set of synthetic models based on the set of synthetic models by performing one or more processing operations with respect to at least one synthetic model in the set of synthetic models, and causing the set of synthetic models and the additional set of synthetic models to be provided to a deep learning network to train the deep learning network to perform image segmentation, object recognition, or motion recognition.

Abstract: A system for performing one or more steps of a method is disclosed. The method includes receiving user preferences regarding terms of service that a user of the user device is willing to agree to and determining a set of user preference rules. The method also includes receiving a user request to access content provided by a content provider system, receiving a terms of service document, and determining a set of content provider preference rules. After determining the set of user preference rules and the set of content provider preference rules, the system compares the user preference rules with the content provider preferences rules to determine a match status and, based on the determination, generates and transmits either an approval message or a warning message.

Abstract: Logic may create new images by adding more than one synthetic image on a template. Logic may provide a template with a background for a new image. Logic may provide a set of models, each model to comprise a generative adversarial network (GAN), the GANs pretrained independently to generate different synthetic images. Logic may select two or more models from the set of models. Logic may generate, by the two or more models, two or more of the different synthetic images. Logic may combine the two or more of the different synthetic images with the template to create the new image. And logic may train a set of GANs independently, to generate one of two or more different synthetic images on a blank image background, the different synthetic images to comprise a subset of the multiple features of a new image.