Abstract: A method includes receiving a request. The request is encrypted to generate an encrypted request. The encrypted request includes a version information for a first software package deployed in a standalone computing system, and a region information and a hardware information for the standalone computing system. The encrypted request is sent to a respective regional data center of a cloud computing system based on the region information of the first software package. A second software package is identified among software packages stored in the respective regional data center. The second software package corresponds to the hardware information of the first software package. The version information of the first software package is compared to a version information of the second software package. In response to identifying that the second software package is more recent than the first software package, the second software package is deployed to the standalone computing system.

Abstract: Artificial intelligence, in the form of machine-learning models, are implemented to dynamically detect when an online or mobile app application is being filled-out/submitted by an autonomous software program/bot (e.g., an invalid application submission), as opposed to a human (i.e., a valid application submission). Telemetry data is captured from the mobile application or web/online application that is indicative as to whether the application forms are being filled-out by a human or an autonomous software program. The telemetry data is applied to machine learning models to determine if the telemetry data results in a recognized pattern that indicates autonomous software program data entry or, conversely, human data entry. In the event that an application submission is determined to be filled-out by an autonomous software program/bot, subsequent submission and/or further processing of the application is denied.

Abstract: Systems, computer program products, and methods are described herein for secure apparatuses to share and deploy machine build programs utilizing unique hash tokens. The invention includes the steps of transforming a resource machine build-program into a first non-fungible token (NFT1) via a resource machine build orchestration module, embedding NFT1 into a flash drive using a flash drive preparation module, generating a second non-fungible token (NFT2) during an interaction of a resource machine with the USB flash drive via a dynamic NFT generator module, wherein NFT2 includes data representing an ownership certificate for the resource machine build owned by a vendor, generating a resultant integrated non-fungible token (NFT3) via a dynamic smart contract module, wherein NFT3 is generated by combining NFT1 and NFT2, and activating and deploying the resource machine build-program on the resource machine via a build activation module, wherein the activation is triggered by the generation of NFT3.

Abstract: Self-orchestration and -management of Automated Teller Machines (ATMs) leveraging the use of extended Reality (XR) amongst support personnel to perform the maintenance/repair. Issues and events required to address the issues are identified at the ATM and a maintenance queue is generated, and subsequently managed, at the ATM that includes an ordered listing of the events and assigned support personnel for each event, along with access credentials for each support personnel. Management of the maintenance queue includes notifying the support personnel of their event assignments of the requisite timing requirements. XR is used to facilitate maintenance and repair in a collaborative and, in some instances simultaneous, manner between remote and onsite support personnel. Various different XR operational modes are implemented to assist support personnel in accomplishing the assigned events without the need for extensive training and/or experience.

Abstract: A color-changing smart card may be provided. The smart card may include a first layer encasing at least a front of the smart card. The smart card may include a smart chip on the front of the smart card. The smart chip may be configured for transmitting and receiving electronic communications to and from a point of sale (“POS”) device. The smart card may include microcapsules residing on a second layer of the smart card. When the microcapsules are in a rest state the first layer may have a first color. When the microcapsules are in an active state the first layer may have a second color. The microcapsules may be triggered to change the color in response to the smart chip receiving an electronic communication of a status of a transaction initiated by the smart card at the POS device.

Abstract: A computing chip may comprise a memory that stores a machine-learning model. an optical absorption spectroscopy component, and one or more processors operably coupled to the memory and the optical absorption spectroscopy component. The one or more processors may cause the optical absorption spectroscopy component to emit radiation to N pre-determined directions within an internal space of a computing device. The one or more processors may cause the optical absorption spectroscopy component to sample an absorption of reflections of the emitted radiation for each of the N pre-determined directions. The one or more processors may determine that one or more hardware components of the computing device are in particular abnormal conditions by processing the N sampled absorptions with the machine-learning model. The one or more processors may send a notification indicating that the one or more hardware components are in the particular abnormal conditions.

Abstract: Self-orchestration and -management of Automated Teller Machines (ATMs) leveraging the use of extended Reality (XR) amongst support personnel to perform the maintenance/repair. Issues and events required to address the issues are identified at the ATM and a maintenance queue is generated, and subsequently managed, at the ATM that includes an ordered listing of the events and assigned support personnel for each event, along with access credentials for each support personnel. Management of the maintenance queue includes notifying the support personnel of their event assignments of the requisite timing requirements. XR is used to facilitate maintenance and repair in a collaborative and, in some instances simultaneous, manner between remote and onsite support personnel. Various different XR operational modes are implemented to assist support personnel in accomplishing the assigned events without the need for extensive training and/or experience.

Abstract: Arrangements for remote device control and transaction processing are provided. In some aspects, a local computing device may initiate a communication session with the self-service kiosk. The local computing device may capture self-service kiosk identifying data and may generate a deep link to an application. The local computing device may transmit the deep link and self-service kiosk identifying information to a remote computing device. An indication of selection of the deep link may be received by the local computing device and a remote transaction processing session may be initiated at the self-service kiosk. The self-service kiosk may transmit a user interface for display by the remote computing device. An option from the user interface may be selected for processing. The self-service kiosk may process the selected option, send a notification of transaction completion to the remote user computing device and terminate the communication session with the local user computing device.

Abstract: A smart-dust information security and energy optimization process/machine/system is disclosed for use with an ATM. Tiny microelectromechanical systems (MEMS) less than 1 mm in size are deployed and distributed in and around the ATM internal and external components. The MEMS include various sensors to detect component malfunctions and identify security threats (e.g., card skimmers), and also to place the ATM in a reduced energy state whenever possible. MEMS interoperable components and sensors may include, inter alia, batteries, wireless transmitters/receivers, processors, memory, analog-to-digital converters, LIDAR, photo detectors, vibration detectors, motion detectors, wireless signal detectors for detecting Bluetooth or RFID signals, temperature sensors, humidity sensor, a power consumption/induced electromagnetic energy sensors, piezoelectric sensors, sound sensors, etc.

Abstract: An apparatus comprises a memory communicatively coupled to a processor. The memory may be configured to store data exchange requests. The processor may be configured to determine that a data exchange request of the data exchange requests comprises a status indicating that the data exchange request is incomplete, generate a priority value for the data exchange request indicating a batch priority associated with the data exchange request, and assign a weight for the data exchange request indicating that the data exchange request is expected to be completed in one or more batch orders. Further, the processor is configured to generate a batch order comprising a position in a queue corresponding to the batch priority and complete the data exchange request in the decentralized network in accordance with the position in the batch order.