Abstract: Systems, methods, and computer program products may store, in a distributed cache, a rule associated with a plurality of accounts in a Real-Time Payments (RTP) network, the rule being stored in association with account data associated with the plurality of accounts; receive an account level exclusion directive associated with the account; store, in the distributed cache, the account level exclusion directive in association with the account; receive transaction data associated with a transaction in the RTP network between the account and another account; retrieve, from the distributed cache, the rule, the account level exclusion directive, and the account data associated with the account; exclude, based on the account level exclusion directive, use of the rule for processing the transaction; and process, without applying the rule, the transaction in the RTP network.

Abstract: The present disclosure provides systems and methods for communication efficient distributed mean estimation. In particular, aspects of the present disclosure can be implemented by a system in which a number of vectors reside on a number of different clients, and a centralized server device seeks to estimate the mean of such vectors. According to one aspect of the present disclosure, a client computing device can rotate a vector by a random rotation matrix and then subsequently perform probabilistic quantization on the rotated vector. According to another aspect of the present disclosure, subsequent to quantization but prior to transmission, the client computing can encode the quantized vector according to a variable length coding scheme (e.g., by computing variable length codes).

Abstract: The present disclosure describes a method, system, and computer readable medium for facilitating predictive maintenance of testing machine using a combination of deep learning. The method comprises performing receiving plurality of tested data of a plurality of products being tested by the testing machine. The method further comprises applying a predictive model, having predictive model parameters, upon the plurality of tested data to predict a plurality of future test data corresponding to the plurality of products. The method further comprises determine a deviation between the plurality of tested data and the plurality of future test data, wherein the deviation indicates fault in the testing machine. The method further comprises determine a fault level of the testing machine by comparing the deviation with a predefined threshold and determining, during run-time, the maintenance required for the testing machine based on the fault level.

Abstract: Systems, methods, and computer program products may store, in a distributed cache, a rule associated with a plurality of accounts in a Real-Time Payments (RTP) network, the rule being stored in association with account data associated with the plurality of accounts; receive an account level exclusion directive associated with the account; store, in the distributed cache, the account level exclusion directive in association with the account; receive transaction data associated with a transaction in the RTP network between the account and another account; retrieve, from the distributed cache, the rule, the account level exclusion directive, and the account data associated with the account; exclude, based on the account level exclusion directive, use of the rule for processing the transaction; and process, without applying the rule, the transaction in the RTP network.

Abstract: Provided is a system, method, and apparatus for tracking a body. The method includes communicating at least one activation signal to each RF transponder of a first array and a second array, receiving a plurality of response signals from the first array and the second array, the plurality of response signals comprising a response signal for each RF transponder of the first array and the second array, determining a difference in distances between the antenna and each RF transponder of the first array and each transponder of the second array based at least partially on at least one corresponding response signal of the plurality of response signals, and determining a relative location of the first portion of the body and the second portion of the body.

Abstract: A method, system, and computer program product is provided for tracking the shape of a surface. The method includes generating a first plurality of surface models based on the surface, each surface model associated with surface parameter values and representing a different shape, determining an estimated position of the plurality of RF transponders on each surface model of the first plurality of surface models, communicating at least one activation signal to the plurality of RF transponders arranged on the surface, the surface comprising an unknown shape, receiving a plurality of response signals from at least a subset of the plurality of RF transponders, determining radio environment parameters for each surface model of the first plurality of surface models, and determining at least one selected surface model of the first plurality of surface models.

Abstract: The present disclosure describes a method, apparatus, and computer readable medium for Surface Mount Technology (SMT). The system comprising a Data Integration (DI) platform configured to collate data from one or more units in an assembly line, an Artificial Intelligence (AI) platform configured to process the collated data, using one or more machine learning techniques, to generate predictive and preventive analysis for the one or more units present in the assembly line. The system further disclose a Digital Twin Simulation (DTS) platform configured to simulate an exact replica of all the units present in the assembly line, provide visual representation, allow the one or more operators in the assembly line to take at least one action and provide the at least one action taken by the one or more operators in the assembly line as feedback signal to AI platform to improve prediction rate of said system.

Abstract: The present disclosure describes a method, system, and computer readable medium for facilitating predictive maintenance of testing machine using a combination of deep learning. The method comprises performing receiving plurality of tested data of a plurality of products being tested by the testing machine. The method further comprises applying a predictive model, having predictive model parameters, upon the plurality of tested data to predict a plurality of future test data corresponding to the plurality of products. The method further comprises determine a deviation between the plurality of tested data and the plurality of future test data, wherein the deviation indicates fault in the testing machine. The method further comprises determine a fault level of the testing machine by comparing the deviation with a predefined threshold and determining, during run-time, the maintenance required for the testing machine based on the fault level.

Abstract: Systems, methods, and computer program products may store, in a distributed cache, a rule associated with a plurality of accounts in a Real-Time Payments (RTP) network, the rule being stored in association with account data associated with the plurality of accounts; receive an account level exclusion directive associated with the account; store, in the distributed cache, the account level exclusion directive in association with the account; receive transaction data associated with a transaction in the RTP network between the account and another account; retrieve, from the distributed cache, the rule, the account level exclusion directive, and the account data associated with the account; exclude, based on the account level exclusion directive, use of the rule for processing the transaction; and process, without applying the rule, the transaction in the RTP network.

Abstract: Systems, methods, and computer program products for a contactless automated teller machine (ATM) experience receive, from a telephone number, a first short message service (SMS) message including a unique identifier associated with an ATM terminal; in response to receiving the first SMS message, communicate, to the ATM terminal, a first password associated with the telephone number and the unique identifier; receive, from the telephone number, a second SMS message including the first password; verify the first password; in response to verifying the first password, transmit, to the telephone number, a third SMS message including an option to withdraw cash from the ATM terminal; receive, from the telephone number, a fourth SMS message including a selection of the option to withdraw the cash from the ATM terminal; and communicate, to the ATM terminal, a cash dispense command that causes the ATM terminal to dispense the cash.

Abstract: Some examples relate to classifying IoT malware at a network device. An example includes receiving, by a network device, network traffic from an Internet of Things (IoT) device. Network device may analyze network parameters from the network traffic with a machine learning model. In response to analyzing, network device may classify the network traffic into a category of malware activity. Network device may determine an effectiveness of network traffic classification by measuring a deviation of the network parameters from previously trained network parameters that were used for training the machine learning model. In response to a determination that the deviation of the network parameters from the trained network parameters is more than a pre-defined threshold, network device may generate an alert highlighting the deviation, which allows a user to perform a remedial action pertaining to the IoT device.

Abstract: Systems, methods, and computer program products for a contactless automated teller machine (ATM) experience receive, from a telephone number, a first short message service (SMS) message including a unique identifier associated with an ATM terminal; in response to receiving the first SMS message, communicate, to the ATM terminal, a first password associated with the telephone number and the unique identifier; receive, from the telephone number, a second SMS message including the first password; verify the first password; in response to verifying the first password, transmit, to the telephone number, a third SMS message including an option to withdraw cash from the ATM terminal; receive, from the telephone number, a fourth SMS message including a selection of the option to withdraw the cash from the ATM terminal; and communicate, to the ATM terminal, a cash dispense command that causes the ATM terminal to dispense the cash.

Abstract: Provided is a system and method for heating an item in a microwave oven. The method includes capturing, with at least one electromagnetic field sensor, at least one electromagnetic field measurement of a microwave chamber, each electromagnetic field measurement of the at least one electromagnetic field measurement corresponding to a region in the microwave chamber, generating an electromagnetic field map of the microwave chamber based on the at least one electromagnetic field measurement, capturing, with at least one sensor, a plurality of thermal measurements of the item being heated in the microwave chamber, each thermal measurement of the plurality of thermal measurements corresponding to a region on the item, and controlling at least one of a position of the item and the electromagnetic field while the item is being heated in the microwave chamber based on the electromagnetic field map and the plurality of thermal measurements.

Abstract: Systems, methods, and computer program products for a contactless automated teller machine (ATM) experience receive, from a telephone number, a first short message service (SMS) message including a unique identifier associated with an ATM terminal; in response to receiving the first SMS message, communicate, to the ATM terminal, a first password associated with the telephone number and the unique identifier; receive, from the telephone number, a second SMS message including the first password; verify the first password; in response to verifying the first password, transmit, to the telephone number, a third SMS message including an option to withdraw cash from the ATM terminal; receive, from the telephone number, a fourth SMS message including a selection of the option to withdraw the cash from the ATM terminal; and communicate, to the ATM terminal, a cash dispense command that causes the ATM terminal to dispense the cash.

Abstract: Embodiments are directed to managing data in a file system that includes a plurality of storage nodes and a plurality of storage volumes such that each storage node may be a compute instance provided by a cloud computing environment (CCE) and each storage volume may be based on blobs provided by the CCE. Write requests that include write data may be provided. A lowest range of addresses in the storage volume may be determined for storing the write data. Buckets may be determined based on the range of addresses and the write data assigned to the buckets. If portions of the buckets remain unassigned, other data may be provided from a cache volume or the blobs. The write data and the other data may be written to the portion of the blobs.

Abstract: A method, system, and computer program product is provided for tracking the shape of a surface. The method includes generating a first plurality of surface models based on the surface, each surface model associated with surface parameter values and representing a different shape, determining an estimated position of the plurality of RF transponders on each surface model of the first plurality of surface models, communicating at least one activation signal to the plurality of RF transponders arranged on the surface, the surface comprising an unknown shape, receiving a plurality of response signals from at least a subset of the plurality of RF transponders, determining radio environment parameters for each surface model of the first plurality of surface models, and determining at least one selected surface model of the first plurality of surface models.

Abstract: Provided is a system, method, and apparatus for tracking a body. The method includes communicating at least one activation signal to each RF transponder of a first array and a second array, receiving a plurality of response signals from the first array and the second array, the plurality of response signals comprising a response signal for each RF transponder of the first array and the second array, determining a difference in distances between the antenna and each RF transponder of the first array and each transponder of the second array based at least partially on at least one corresponding response signal of the plurality of response signals, and determining a relative location of the first portion of the body and the second portion of the body.

Abstract: The present invention provides systems and methods for determining and reporting the cardiac troponin I (cTnI) concentration in a sample from a pregnant woman (in the first, second, or third trimester) by determining whether the sample (cTnI) concentration is higher than a 99th percentile cTnI concentration from a corresponding first, second, or third trimester uncomplicated pregnancy control group, thereby determining if the pregnant woman has or is at risk of developing cardiovascular disease, such as gestational hypertension.