Abstract: A card support is provided that passively and automatically adapts to variations in the length of an electronic card. When a card is inserted into a slotted bar of the card support, variations in the length of that card are adjusted for by the compression or expansion of a spring disposed between the slot and a supporting face.

Abstract: Distributed radio frequency (RF) communication systems for automotive are disclosed herein. In certain embodiments, an RF communication system for an automobile includes an RF module located close to an antenna to satisfy a specified output power with small insertion loss. Additionally, the baseband processor is placed remotely from the RF module in a different area of the automobile to provide a lower temperature environment. Additionally, the RF module communicates with the baseband processor in a digital format eliminating the need for higher cost cabling (for instance, due to higher noise immunity arising from using digital signaling) and using digital transfer cabling, which can already be present in the automobile for other purposes. The RF module can include an RF front-end (RFFE) and a transceiver used for providing frequency conversion, for instance, between RF and baseband.

Abstract: The present disclosure provides systems and methods for animal health monitoring. Load data can be obtained from an animal monitoring device including three or more load sensors associated with a platform carrying contained litter thereabove, wherein individual load sensors of the three or more load sensors are separated from one another and receive pressure input from the platform independent of one another, wherein the three or more load sensors individually sample loads at from 2.5 Hz to 110 Hz. An animal behavior property associated with the animal can be recognized if it is determined based on load data that the interaction with the contained litter was due to the animal interaction with the contained litter. The animal behavior property can be classified into an animal classified event using a machine learning classifier.

Abstract: Sanitary tissue product rolls that exhibit novel combinations of physical properties, such as Moment of Inertia, Roll Density, and optionally Roll Diameter, such that the sanitary tissue product rolls meet consumers' needs, and method for making such novel sanitary tissue product rolls and marketing such novel sanitary tissue product rolls are provided.

Abstract: Various methods, apparatuses/systems, and media for automatically detecting discrepancy between preset data and input data are provided. A processor implements a platform and language agnostic smart data discrepancy detection module that automatically detects discrepancy between preset data and input data (i.e., larger than the preset data) during data processing of a commercial transaction involving a gratuity, particularly when a credit card payment is being made. The processor also implements an optimized processes of conducting a commercial transaction that includes a gratuity data based on user preferences that are obtainable from an application during execution thereof, and automatically alerts the user when data discrepancy is detected, i.e., when the gratuity data is more than preset gratuity data set by the user on the application.

Abstract: A computer-implemented method can facilitate delivery of targeted content to user devices in situations in which historic tracking data (e.g., cookie data) is generally unavailable and/or unreliable. A p-dimensional embedding of websites can be generated based on a group of user devices for whom tracking data is available. Conversion event data that indicates indicating whether that audience member performed a conversion action can be received. A machine learning model can be trained using the conversion event data and the positions of websites appearing in the conversion event data within the p-dimensional embedding to predict a likelihood of conversion and/or a type of content to provide given a position in the p-dimensional embedding. When an indication that a user device is accessing a website is received, a position of that website in the p-dimensional embedding can be determined and targeted content can be delivered to the user device.

Abstract: In computer graphics, texture refers to a type of surface, including the material characteristics, that can be applied to an object in an image. A texture may be defined using numerous parameters, such as color(s), roughness, glossiness, etc. In some implementations, a texture may be represented as an image that can be placed on a three-dimensional (3D) model of an object to give surface details to the 3D object. To reduce a size of textures (e.g. for storage and transmission), textures in a texture set may be compressed together. The present disclosure provides for decompression of at least a portion of a single texture representation of a set of textures into at least a portion of a plurality of textures included in the set of textures.

Abstract: In computer graphics, texture refers to a type of surface, including the material characteristics, that can be applied to an object in an image. A texture may be defined using numerous parameters, such as color(s), roughness, glossiness, etc. In some implementations, a texture may be represented as an image that can be placed on a three-dimensional (3D) model of an object to give surface details to the 3D object. To reduce a size of textures (e.g. for storage and transmission), textures in a texture set may be compressed together. The present disclosure provides for transcoding a compressed texture set to textures with a hardware-supported compression format.

Abstract: Configurations for a photonics assembly design and methods for mitigating coherent noise thereof are disclosed. The photonics assembly may include a set of light sources, an optical subsystem that may include a set of optical elements, and a diffusing element. The light emitted by the set of light sources may be different wavelengths and the light may be de-cohered by a phase shifter before being received by the set of optical elements. The diffusing element may be moveable and may be capable of repeating the same positions or set of positions for each beam of light emitted by the set of light sources. By combining the coherent noise mitigation techniques of the moveable diffusing element and the de-cohered light, the photonics system may provide an illumination profile with a specific spatial profile and angular profile on the sample that allows reliable measurement of the sample and coherent noise mitigation.

Abstract: A method includes accessing web browsing history for a plurality of users, generating embedding vectors based on the web browsing history for websites, and selecting a model configured to receive embedding vectors and output probability of a conversion events. Further, the method includes calculating a probability of a conversion event for the various websites using the model, selecting a subset of websites from the various websites based on websites having associated probabilities greater that a predetermined probability threshold, and receiving an indication that an impression has been displayed to a user when the user visits a website from the subset of websites, obtaining a plurality of conversion rates, each conversion rate is determined for each website from the subset of websites based on a number of conversion events associated with the plurality of visitation events, and updating the model parameters of the model using the obtained plurality of conversion rates.

Abstract: Provided herein are compositions, systems, and methods for engineering hematopoietic stem cells that engineered by using polypeptides, such as effector proteins, and guide nucleic acids. Also, provided herein are the engineered hematopoietic stem cells, methods of manufacturing such hematopoietic stem cells, and methods of treating a disease or disorder using such hematopoietic stem cells.

Abstract: In-flight operations in an inbound data path from a source memory to a convolution hardware circuit increase computational throughput when performing convolution calculations, such as pooling and element-wise operations. Various operations may be performed in-line within an outbound data path to a target memory. Advantageously, this drastically reduces extraneous memory access and associated read-write operations, thereby, significantly reducing overall power consumption in a computing system.

Abstract: Systems, computer program products, and methods are described herein for threat indexing and implementing artificial intelligence (AI) to detect malfeasant user activity in an electronic network. The present invention is configured to identify a resource transmission request associated with a user account; collect resource account data of the user account; collect resource transmission request data associated with the resource transmission request; apply a malfeasant identification artificial intelligence (AI) engine to the resource account data and the resource transmission request data; and determine, by the malfeasant identification AI engine, a malfeasant attribute of the resource transmission request, wherein the malfeasant attribute comprises at least one of a positive malfeasant attribute or a negative malfeasant attribute.

Abstract: This disclosure is directed to an improved ballistic concrete barrier for stopping projectiles with a kinetic energy of between about 1.0 kJ (750 foot-pounds) and 20.3 kJ (15,000 foot-pounds) in between about 3 inches and 10 inches. In one embodiment, the ballistic concrete barrier comprises (a) about 1 part by mass Portland cement; (b) about 0.5 to 1.5 part by mass fine aggregate; (c) about 0.005 to 0.15 part by mass fiber; (d) about 0.005 to 0.05 part by mass calcium phosphate; (e) about 0.005 to 0.05 part by mass aluminum hydroxide; and (f) about 0.0005 to 0.05 part by mass air entrainment additive, such that the ballistic concrete barrier is capable of stopping a fifty caliber bullet in less than 10 inches from a point of entry into the barrier.

Abstract: A shoulder implant system includes a humeral stem implant, a humeral neck implant component, a humeral head implant component, and a glenoid implant. The humeral stem implant has a fin coupled to an exterior surface thereof that is inwardly tapered at an angle relative to vertical. At least a portion of the fin forms a wedge that directly engages and compacts cancellous bone during installation of the humeral stem implant. The humeral neck implant component is configured to be coupled with the humeral stem implant. The humeral head implant component is configured to be coupled to the humeral stem implant via the humeral neck implant component. The glenoid implant has a plurality of peripheral pegs. Each of the peripheral pegs has a plurality of sets of resilient lobes.

Abstract: An external portion of an auditory prosthesis includes an external magnet that interacts with an implantable magnet to hold the external portion against the skin. Magnetic force generated by the stray field of these magnets can disturb the operation of a vibrating element of the auditory prosthesis. The technologies described herein utilize additional magnets disposed within portions of the auditory prosthesis to redirect the magnetic flux, which allows the vibrating element to be disposed more closely to the magnets, reducing the overall height profile of the prosthesis.

Abstract: Systems, computer program products, and methods are described herein for detecting artificial intelligence (AI) masking using persistent response testing. The present invention is configured to identify a vocal request; generate a primary prompt associated with the vocal request; receive, based on the primary prompt, a primary vocal cue data; determine at least one primary vocal characteristic based the primary vocal cue data; generate at least one secondary prompt associated with the vocal request for at least one second period; receive, based on the at least one secondary prompt, at least one secondary vocal cue data; determine at least one secondary vocal characteristic based on the one secondary vocal cue data; compare the at least one primary vocal characteristic to the at least one secondary vocal characteristic; and determine, based on the comparison, whether the vocal request is based on artificial intelligence (AI).

Abstract: Systems, computer program products, and methods are described herein for intelligent protocol implementation in a distributed computing system. The present disclosure is configured to monitor usage data for a plurality of network devices; receive, from a first network device, a protocol dataset; analyze the protocol dataset using a first machine learning engine; determine, based on an output of the first machine learning engine, at least one variable correlated with the protocol dataset; and instruct a second machine learning engine to analyze usage data associated with the at least one variable, wherein the second machine learning engine is configured to generate a data visualization on a display of the first network device.

Abstract: Green ceramic batch mixtures include: at least one inorganic batch component, preferably cordierite; at least one binder, preferably polyisoprene, poly(vinyl formal), poly(vinyl methyl ether), polybutadiene carboxy terminated; and an inverse emulsion having a continuous phase, an aqueous dispersed phase, and at least one emulsifier, preferably at least one functionalized silicone compound having at least one functional group chosen from a hydroxyl group, a carboxyl group, hydroxyl-terminated ethylene oxide groups.

Abstract: Novel tools and techniques are provided for implementing network service ordering and provisioning of secure access service edge (“SASE”) scriptlets for providing SASE-based network. In various embodiments, a computing system may provide a user experience (“UX”) platform for a customer portal, the UX platform being accessible by a user via a user device over a first network(s); may provide, via the UX platform, options to configure, via the customer portal, one or more SASE scriptlets for providing SASE-based network services provided by a service provider; and may autonomously orchestrate deployment and configuration of the one or more SASE scriptlets on one or more network devices that are associated with the user or to an entity with which the user is associated, over a second network(s), based at least in part on user selection of options to configure the one or more SASE scriptlets and/or the corresponding SASE-based network services.