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.

Abstract: Methods for supporting a development of application source code using input from a first smart glasses of a first user and a second smart glasses of a second user is provided. Methods may include retrieving the application source code from an internal development platform and displaying the application source code on an augmented reality (“AR”) display of the first smart glasses and an AR display of the second smart glasses. Methods may include receiving, from the first smart glasses, a command to edit the application source code and in response, deactivating each input device of the second smart glasses. Methods may include receiving input of one or more edits on the first smart glasses and updating the application source code to include the input. Methods may include displaying the updated application source code on the AR displays and reactivating each input device of the second smart glasses.

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 device configured to obtain group information from a database, 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 device configured to obtain a first user interaction data at a first time instance for user devices, to obtain a first set of clusters from a machine learning model based on the first user interaction data, and to determine a first cluster quantity for the first set of clusters. The device is further configured to obtain a second user interaction data at a second time instance for the user devices, to obtain a second set of clusters from the machine learning model based on the second user interaction data, and to determine a second cluster quantity for 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: Systems and methods for leveraging smart glasses for identifying vulnerabilities in application source code is provided. The smart glasses may be configured to scan the code from a user interface (“UI”) linked to an internal development platform and project the scanned code on a display of the smart glasses. Using deep learning, the smart glasses may be enabled to identify one or more vulnerabilities within the scanned application source code. The smart glasses may link a vulnerability classification code for each identified vulnerability. The smart glasses may generate a vulnerability report file including the scanned application source code, each identified vulnerability and its linked vulnerability classification code and transfer the vulnerability report file to a source code repository within the internal development platform. The scanned application source code may be matched to the original application source code and further separate the marched original application source code for assessment.

Abstract: Systems, methods and apparatus are provided for a Dynamic Group Session Data Access Protocol. The system may monitor participant input in a group interactive session. The system may be trained to monitor and understand the group environment and predict intent of the participant discussion and may predict relevant data. The system may be used by a single participant or by multiple participants. The system may determine the access level of the participants. The system may determine the access level of the data. The system may compare the access level of the participants with the access level of the data. The system may dynamically mask the data if the access level of the participants does not match the access level of the data. The system may create customized views of the data for each participant based on the participant's access level and the access level of the data.

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: Techniques for wireless audio device selection are disclosed. In the illustrative embodiment, a compute device uses visual training to recognize headphones worn by a user. When the user puts on the headphones, the compute device may recognize the headphones and automatically route audio output to the headphones. In some embodiments, when selecting from several possible wireless audio output devices, the compute device may determine a distance to each of the wireless audio output devices and select one of the wireless audio output devices based on the distance to the wireless audio output device.

Abstract: An automated teller machine (ATM) receives a first set of signals from components of the ATM. The first set of signals includes intercommunication electrical signals between the components of the ATM and electromagnetic radiation signals propagated from the components of the ATM. The ATM extracts baseline features from the first set of signals. The baseline features represent a unique electrical signature of the ATM. The ATM extracts test features from a second set of signals received from the component of the ATM. The ATM determines whether there is a deviation between the test features and baseline features. If the ATM detects the deviation, the ATM determines that the ATM is associated with a particular anomaly that makes the ATM vulnerable to unauthorized access.

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: A system for detecting security threats in automated teller machines (ATMs) extracts baseline features from a first set of signals received from a first ATM, when the first ATM is initiated to operate. The baseline features represent a unique electrical signature of the first ATM. The system extracts test features from a second set of signals received from the first ATM, when the first ATM is in operation. 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 first ATM is associated with a particular anomaly that makes the first ATM vulnerable to unauthorized access. The system determines that a second ATM is associated with the particular anomaly if the system detects the deviation between baseline features and test features associated with the second ATM.

Abstract: Systems, computer program products, and methods are described herein for dynamically orchestrating API calls using quantum computing. The present invention may be configured to receive API calls from clients, determine whether each API call is acceptable using a first machine learning model, and determine whether a subset or multiple subsets of the acceptable API calls are combinable using a second machine learning model to obtain API call categories. The present invention may be configured to determine whether to route each API call category to a cache or to an endpoint using a third machine learning model and obtain data from the endpoint that includes responses of the endpoint. In some embodiments, the first machine learning model, the second machine learning model, and the third machine learning model may be trained using one or more quantum computing engines.

Abstract: A system board includes a module board that connects to the system board with an interposer having compressible connectors. The module board can further be covered by a shield that has a metal alloy having an element to provide good electrical conductivity and an element to provide structural integrity and heat transfer. The module board can further include gaskets to interconnect the shield to a ground plane of the module board. the interposer board can further include an extra column of ground connections to reduce signaling noise between the interposer board and the system board.

Abstract: Systems and methods for transferring data via a smart contact lens from a first user interface (“UI”) to a second UI is provided. Methods may include triggering a tracking of the focus of the user's eyes on the first UI and further tracking a start point and an end point of the focus of the user's eyes based on detection of deliberate blink gestures. Methods may further include capturing a segment of data within the start point of focus and the end point of focus and storing the segment of data in memory on the smart contact lenses. Methods may further include updating the second UI based on an instruction in a data packet transmitted to the second UI, by inputting the segment of data at a point of focus of the user's eye on the second UI.

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.

Abstract: Network-efficient isolation environment redistribution is described. In one example, network communications are surveyed among isolation environments, such as virtual machines (VMs) and containers, hosted on a cluster. An affinity for network communications between the isolation environments can be identified based on the survey. Pairs or groups of the isolation environments can be examined to identify ones which have an affinity for network communications between them but are also hosted on different host machines in the cluster. The identification of the affinity for network communications provides network-level context for migration decisions by a distributed resource scheduler. Certain VMs and/or containers can then be migrated by the distributed resource scheduler to reduce the network communications in the cluster based on the network-level context information.

Abstract: A device that is configured to obtain an image of a document and to convert the image into a binary bit string. The device is further configured to iteratively select portions of the binary bit string, to determine a binary bit value for a selected portion of the binary bit string, and to identify a quantum logic gate from an encoding map based on the binary bit value. The encoding map is configured to map binary bit values to quantum logic gates. The device is further configured to add an identifier for the identified quantum logic gate to a set of encoding instructions. The encoding instructions contain commands for applying quantum logic gate operations to qubits. The device is further configured to send the set of encoding instructions to a quantum computing network device that is configured to generate qubits and to transmit qubits.

Abstract: Systems, computer program products, and methods are described herein for implementing an enhanced authentication framework using Erasable Programmable Read-Only Memory (EPROM) grid pattern recognition.

Abstract: Methods, apparatus, and system to summarize an audio-visual media with a neural network machine learning architecture.