Abstract: A system for dynamically masking items containing sensitive information on a display screen of a user device is disclosed. A distance of each viewer from the display screen is determined. Each viewer is identified using a facial recognition algorithm. Each viewer's authority level to view certain information is determined. For each item containing sensitive information, a dynamic proximity threshold for the item is determined based on a size of the display screen and a size of the item. The dynamic proximity threshold for the item is a distance from the display screen from which the item is identifiable. The system is configured to determine whether each viewer is authorized to view the item based on the authority level of each viewer. The item is masked if at least one viewer is at a distance that is within the dynamic proximity threshold and is not authorized to view the item.

Abstract: An interface card includes a circuit board, a device mounted on the circuit board, and a PMIC mounted on the circuit board. The PMIC includes a PMIC processor communicatively coupled to a host processor of a host system. The PMIC processor is configured to receive an input voltage signal from a power supply that is external to the interface card. The PMIC processor generates at least one output voltage signal based on the input voltage signal. The at least one output voltage signal is supplied to the device. A power enable signal originating from the host processor is detected. The power enable signal is detected at a GPIO connector of the PMIC. The PMIC processor deactivates generation of the at least one output voltage signal based on the power enable signal.

Abstract: Systems, computer program products, and methods are described herein for the dynamic authentication of electronic interactions between electronic devices. The present invention may be configured to identify an unauthorized resource transfer from a source retainer, extract a resource transfer log, and determine an interaction associated with a previous resource transfer during which authentication credentials providing access to the source retainer were obtained without authorization. The present invention may be configured to extract data associated with the previous resource transfer, and historical data associated with historical unauthorized resource transfers. The data associated with the previous resource transfer and historical data may comprise spatial information, temporal information, and resource transfer device information.

Abstract: This disclosure relates to an intelligent smart glasses that may be worn by a customer. The smart glasses may sense cash information on automated teller machine (“ATM”). The smart glasses may accordingly split up a cash transaction across various ATM units in close to proximity to the customer. The smart glasses may split a requested cash transactions among various ATMs so that if the desired amount/denomination of cash is not available at an ATM to the customer, the customer is seamlessly directed to one or more other ATMs that are capable of dispensing the desired amount of cash.

Abstract: Apparatus and methods disclosed herein provide technical solution for on-demand manufacturing of a payment instrument that includes an integrated circuit chip. Apparatus and methods provide technical solutions for securely validating and activating the manufactured payment instrument. The customer may submit a request to manufacture a payment instrument through an automated teller machine (“ATM”), online banking channel or mobile banking channel. Apparatus and methods allow a customer to manufacture a payment instrument at home using a 3D printer or use a 3D printer installed at an ATM. Using a secure validation methods, the newly manufactured payment instrument may be activated at an ATM.

Abstract: A system for communicating with eye wear. The system may include smart glass pairing instructions that are configured to establish a radio frequency (“RF”) communication link between a terminal and the eye wear. The system may include image proximity instructions that are configured to estimate a distance from the eye wear to the terminal. The system may include overlay instructions that are configured to overlay an eye wear display on a view of the terminal through the eye wear. The system may include response instructions configured to receive from a user a response to the eye wear display. The system may include synchronization instructions configured to: define a virtual integrated UI that corresponds to the terminal and the eye wear display; and record a state of the virtual integrated UI.

Abstract: Apparatus and methods disclosed herein provide technical solution for on-demand manufacturing of a payment instrument that includes an integrated circuit chip. Apparatus and methods provide technical solutions for securely validating and activating the manufactured payment instrument. The customer may submit a request to manufacture a payment instrument through an automated teller machine (“ATM”), online banking channel or mobile banking channel. Apparatus and methods allow a customer to manufacture a payment instrument at home using a 3D printer or use a 3D printer installed at an ATM. Using a secure validation methods, the newly manufactured payment instrument may be activated at an ATM.

Abstract: A system receives, from an augmented reality device, a first image of a web application, where the first image shows a first element of the web application. The system receives eye tracking information that indicates eye movements of a user as the user is looking at different elements of the web application. The system determines that the user is looking at a first location coordinate on the first image of the web application. The system determines that the first element is located at the first location coordinate. The system identifies first element attributes associated with the first element. The system generates an augmented reality message comprising the first element attributes. The system generates an augmented reality display in which the augmented reality message is presented as a virtual object. The system transmits the augmented reality display to the augmented reality device.

Abstract: A device configured to identify a first set of clusters based on the group information and to determine a first cluster quantity that identifies a number of clusters within the first set of clusters. The device is further configured to obtain user interaction data for user devices, to input the user interaction data into a machine learning model, to receive a second set of clusters from the machine learning model based on the user interaction data, and to determine a second cluster quantity that identifies a number of clusters within the second set of clusters. The device is further configured to determine the second cluster quantity is greater than the first cluster quantity, to identify a cluster that is not present in the first set of clusters, and to modify settings on a user device from within the cluster.

Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.

Abstract: Aspects of the disclosure relate to a smart contactless card to detect real-time suspicious card readers or other fraudulent devices. Prior to a transaction, the smart contactless card detects suspicious card readers or fraudulent devices. An alert may be generated upon detection of any suspicious or fraudulent card reader. In some arrangements, the smart contactless card may utilize machine learning models or machine learning capabilities to detect suspicious card readers. The smart contactless card may pair with other smart contactless cards to detect and alert users to suspicious card readers or other fraudulent devices. The paired smart contactless cards may share information regarding suspicious card readers or fraudulent devices over a semi-autonomous data-sharing network. A vulnerability score may be generated and used to determine if a card reader or other payment device is suspicious.

Abstract: Apparatus and methods for contact-minimized automated teller machine (“ATM”) use and transaction processing using Doppler-radar based gesture recognition and authentication. The apparatus and methods may include an ATM including a millimeter-wave radar transmitter and receiver. Movement of one or more objects, including fingers, within a radar field may be analyzed and translated into gestures and authentication passcode(s). By utilizing the radar field instead of physical buttons or a touchscreen, contact with the ATM may be minimized.

Abstract: A system for detecting security threats in a computing device receives a first set of signals from components of the computing device. The first set of signals includes intercommunication electrical signals between the components of the computing device and electromagnetic radiation signals propagated from the components of the computing device. The system extracts baseline features from the first set of signals. The baseline features represent a unique electrical signature of the computing device. The system extracts test features from a second set of signals received from the component of the system. The system determines whether there is a deviation between the test features and baseline features. If the system detects the deviation, the system determines that the computing device is associated with a particular anomaly that makes the computing device vulnerable to unauthorized access.

Abstract: Aspects of the disclosure relate to intelligent RPA bot development. A computing platform may identify user interface field information from one or more applications based on tracking eye movements of the user. The computing platform may identify device events associated with the eye movements of the user. The computing platform may generate a sequence log associating the eye movements of the user with the device events. The computing platform may derive, using a machine learning model, based on the sequence log, a cognitive model of the transaction by the user. The computing platform may generate a workflow for an autonomous bot by identifying and assembling robotic process automation components based on the derived cognitive model of the transaction by the user. The computing platform may send the workflow for the autonomous bot to a user computing device.

Abstract: Embodiments of connector-less modules and associated platforms employing the module. The module employs a Land Grid Array (LGA) comprising an array of LGA pins on the underside of the module PCB that are configured to engage respective pads patterned on a motherboard or system board PCB by applying a downward force to the module PCB. A novel clip assembly is provided to apply the downward force, while also aligning the module PCB (and its LGA) to the motherboard or system board PCB. A heat shield is provided that is configured to be disposed over the module PCB to facilitate enhanced thermal spreading and lowering thermal resistance both towards the heat shield and the PCBs. Example modules include a WWAN module and an NVMe SSD module. The module PCB may employ an M.2 form factor or other form factors.

Abstract: A computing device includes a plurality of baseband processing circuitries. Each baseband processing circuitry of the plurality of baseband processing circuitries is configured to process signals for reception or transmission using a communication standard of a corresponding plurality of communication standards. The computing device further includes an application processor coupled to the plurality of baseband processing circuitries. The application processor is configured to determine a bandwidth of an application executing on the application processor of the computing device, determine a plurality of latencies associated with each baseband processing circuitry of the plurality of baseband processing circuitries, and select a baseband processing circuitry of the plurality of baseband processing circuitries to process transmit or receive data of the application based on the bandwidth and the plurality of latencies.

Abstract: A wireless device includes a voltage regulator circuit configured to generate a voltage signal of a first input voltage, and a wireless baseband processing circuitry (WBPC) coupled to the voltage regulator circuit to receive the voltage signal. The WBPC is configured to process signals for transmission or reception using wireless technology. The WBPC includes a sub-system processor circuit configured to detect a wireless bandwidth of an application executing on an application processor of the wireless device; determine a second input voltage based on the wireless bandwidth of the application and a maximum voltage supported by the WBPC; and encode a feedback signal for communication to the voltage regulator circuit. The feedback signal causes adjustment of the voltage signal to the second input voltage.

Abstract: A system for intelligent data transfer is provided. The system is configured to: collect sensor data from a plurality of user devices, the plurality of user devices being connected to a device gateway in an edge layer of the network; combine the collected sensor data with contextual data stored in a contextual device database, wherein the contextual data comprises device usage data and user data; generate a data transfer rule set for governing data transfer from the plurality of user devices over the network based on the combined data; calculate a data configuration flow for the plurality of user devices based on the data transfer rule set; and execute the data configuration flow to control a flow of the sensor data transferred from the device gateway to an application server in a platform layer.

Abstract: Apparatus and methods for a smart glasses device are provided. The smart glasses device may execute a prediction model on video data captured by the smart glasses device to retrain the prediction model. The prediction model may be retrained in response to a data synchronization between an output of the prediction model and a gesture captured by the smart glasses device.

Abstract: Apparatus and methods for a payment instrument are provided. The apparatus may include a primary chip positioned on an outer face of the payment instrument and a power source. The apparatus may include a first supplementary chip, a second supplementary chip, and a third supplementary chip. Each of the first, second and third supplementary chips may be positioned within a thickness of the payment instrument and configured to draw power from the power source.