Abstract: Using face grouping for fraud reduction is described. A server(s) may receive, in association with a request to access the service, image data representing a face of a user and additional data, determine, based at least in part on the image data and using a trained machine learning model(s), a representation of the face, and determine one or more representations of faces associated with the representation. The server(s) can further determine first information based at least in part on the additional data, determine second information associated with the one or more representations, determine one or more differences between the first information and the second information, and determine whether to accept or deny the request based at least in part on the determining of the one or more differences.

Abstract: Systems and methods are disclosed for content analysis and/or processing. In some examples, a system receive content (e.g., an image) that includes a representation of an object (e.g., a person) in a scene. The system analyzes the content to detect a first portion of the content (e.g., subset of pixels) that represents the object. A second portion of the content represents the scene. The system obfuscates (e.g., masks, blurs, pixelates, replaces) the first portion of the content to generate obfuscated content. The obfuscated content retains the second portion of the content that represents the scene. The system analyzes the obfuscated content using at least one trained machine learning model to generate a prediction of a geographic region (e.g., at least a portion of a continent) that the scene is in. The system outputs an indicator of the prediction of the geographic region.

Abstract: Computer-implemented methods, instructions and systems for determining the compliance of a network infrastructure with a security policy. The network infrastructure includes a plurality of components. A method includes extracting, by applying a first trained machine learning model to a security standard, at least one security policy of the security standard, and obtaining, from each component of the plurality of components of the network infrastructure, contextual data defining the security configurations and security capabilities of the component. The method further includes processing the contextual data and the security policy of the security standard, by a second trained machine learning model, the second trained machine learning model configured to output an indication of whether the network infrastructure satisfies the security policy of the security standard.

Abstract: Determining user types from behavior is described. An artificial intelligence (AI) model is trained to classify user accounts of a payment service into different user types using contextual data associated with processed payments between the user accounts. The AI model is used to analyze additional contextual data associated with additional payments between additional user accounts to classify the additional user accounts, and, if a particular user account of the additional user accounts is associated with a user type of the different user types that requires an action to be performed, an instruction is sent to a user device associated with the particular user account to cause a payment application to present a user interface element prompting a user to perform the action, and, based on whether the action was performed, account data indicating whether the particular user account is an authorized account is stored in a datastore.

Abstract: An automated method and kiosk for obtaining diagnostic images of a patient are provided. The method is performed by receiving personal information about the patient at the automated kiosk, obtaining, with a diagnostic imaging system at the automated kiosk, a first diagnostic image of the patient from a first projection angle relative to at least one body part of the patient, and obtaining, with the diagnostic imaging system, a second diagnostic image of the patient from a second projection angle relative to the at least one body part. The method steps are performed without real-time control of the automated kiosk by another human.

Abstract: Computing system performance monitors provide on-chip control, selection, collection, coalescing and communication of behavior and other processing-indicating data of high performance single- and multi-die computing and processing systems, such as for use in multi-chip-module and/or multi-instanced graphics processing units (GPUs) and/or systems-on-chips (SOCs). Commands and data records can be forwarded between modules to abstract the processing system from profilers and other data report consumers. Quality of Service and security isolation for different command and data report streams is maintained.

Abstract: In a method of processing a cash transaction, a transaction processing system receives an account transaction request identifying a user account and a cash transaction to be carried out using a cash service machine (CSM). A set of CSMs available for processing the account transaction request is determined and a list of available CSMs is transmitted to the requesting user device. A request to process the transaction including an identification of a selected CSM is received the user device or the selected CSM. A unique authentication code is generated and transmitted to the processing requester. The transaction processing system receives from the non-process requester, an authentication request including a purported authentication code. The system then verifies that the purported authentication code matches the unique authentication code. Upon positive verification, the system transmits an instruction to the CSM to carry out a cash exchange according to the requested account transaction.

Abstract: An automated method and kiosk for obtaining diagnostic images of a patient are provided. The method is performed by receiving personal information about the patient at the automated kiosk, obtaining, with a diagnostic imaging system at the automated kiosk, a first diagnostic image of the patient from a first projection angle relative to at least one body part of the patient, and obtaining, with the diagnostic imaging system, a second diagnostic image of the patient from a second projection angle relative to the at least one body part. The method steps are performed without real-time control of the automated kiosk by another human.

Abstract: In a method of processing a cash transaction, a transaction processing system receives an account transaction request identifying a user account and a cash transaction to be carried out using a cash service machine (CSM). A set of CSMs available for processing the account transaction request is determined and a list of available CSMs is transmitted to the requesting user device. A request to process the transaction including an identification of a selected CSM is received the user device or the selected CSM. A unique authentication code is generated and transmitted to the processing requester. The transaction processing system receives from the non-process requester, an authentication request including a purported authentication code. The system then verifies that the purported authentication code matches the unique authentication code. Upon positive verification, the system transmits an instruction to the CSM to carry out a cash exchange according to the requested account transaction.

Abstract: An atomizer for flexible operation and a system with the same include a body including a plurality of independent inlets, where the body has a central axis “X”, a plurality of independent tubes coaxially integral with the body and connected to the plurality of inlets, where at least one tube is mounted along the central axis, at least one nozzle mounted concentrically to the at least one tube mounted along the central axis, at least one nozzle cap coupled concentrically to the body mounted along the central axis. The atomizer is configured to operate in at least one of a pneumatic mode and a hydraulic mode, when the at least one nozzle receives at least one input fluid from at least one inlet from the plurality of inlets.

Abstract: An automated method and kiosk for obtaining diagnostic images of a patient are provided. The method is performed by receiving personal information about the patient at the automated kiosk, obtaining, with a diagnostic imaging system at the automated kiosk, a first diagnostic image of the patient from a first projection angle relative to at least one body part of the patient, and obtaining, with the diagnostic imaging system, a second diagnostic image of the patient from a second projection angle relative to the at least one body part. The method steps are performed without real-time control of the automated kiosk by another human.

Abstract: Systems and methods are provided for controlling gaming moments across different gaming channels, different entities, and different environments. In one example, the system and methods use blockchain and/or non-fungible token (NFT) components and/or functionality. In an embodiment, a computing system can detecting a qualifying game event for a sharable gaming moment. The computing system generates a digital asset. The digital asset indicates details of the qualifying game event. The computing system encodes a referral code with the digital asset. The computing system transmits, in response to a user input via an application of a user computing device, the digital asset and the referral code to at least one gaming channel. The computing system detects, in response to electronic communication from the at least one gaming channel, an action associated with the digital asset. The computing system awards, based on the referral code and the action, a number of points for use (e.g.

Abstract: Systems and methods for measuring micro-architectural properties of vascular networks are described herein. An example method can include injecting an ultrasound contrast agent into a medium, and transmitting a plurality of acoustic pulses into the medium using a ultrasound transducer array. Each respective acoustic pulse can be transmitted from one or more elements of the ultrasound transducer array. The method can also include receiving a plurality of backscattered signals with the ultrasound transducer array in response to each respective acoustic pulse, and obtaining a response matrix including the backscattered signals. The method can further include extracting a coherent or incoherent contribution to the backscattered signals from the response matrix, and quantifying a property of a vascular network based on the coherent or incoherent contribution to the backscattered signals.

Abstract: Aspects of the disclosure relate to training a labeling model to automatically generate labels for objects detected in a vehicle's environment. In this regard, one or more computing devices may receive sensor data corresponding to a series of frames perceived by the vehicle, each frame being captured at a different time point during a trip of the vehicle. The computing devices may also receive bounding boxes generated by a first labeling model for objects detected in the series of frames. The computing devices may receive user inputs including an adjustment to at least one of the bounding boxes, the adjustment corrects a displacement of the at least one of the bounding boxes caused by a sensing inaccuracy. The computing devices may train a second labeling model using the sensor data, the bounding boxes, and the adjustment to increase accuracy of the second labeling model when automatically generating bounding boxes.

Abstract: In a method of processing a cash transaction, a transaction processing system receives an account transaction request identifying a user account and a cash transaction to be carried out using a cash service machine (CSM). A set of CSMs available for processing the account transaction request is determined and a list of available CSMs is transmitted to the requesting user device. A request to process the transaction including an identification of a selected CSM is received the user device or the selected CSM. A unique authentication code is generated and transmitted to the processing requester. The transaction processing system receives from the non-process requester, an authentication request including a purported authentication code. The system then verifies that the purported authentication code matches the unique authentication code. Upon positive verification, the system transmits an instruction to the CSM to carry out a cash exchange according to the requested account transaction.

Abstract: In a method of processing a cash transaction, a transaction processing system receives an account transaction request identifying a user account and a cash transaction to be carried out using a cash service machine (CSM). A set of CSMs available for processing the account transaction request is determined and a list of available CSMs is transmitted to the requesting user device. A request to process the transaction including an identification of a selected CSM is received the user device or the selected CSM. A unique authentication code is generated and transmitted to the processing requester. The transaction processing system receives from the non-process requester, an authentication request including a purported authentication code. The system then verifies that the purported authentication code matches the unique authentication code. Upon positive verification, the system transmits an instruction to the CSM to carry out a cash exchange according to the requested account transaction.

Abstract: In a method of processing a cash transaction, a transaction processing system receives an account transaction request identifying a user account and a cash transaction to be carried out using a cash service machine (CSM). A set of CSMs available for processing the account transaction request is determined and a list of available CSMs is transmitted to the requesting user device. A request to process the transaction including an identification of a selected CSM is received the user device or the selected CSM. A unique authentication code is generated and transmitted to the processing requester. The transaction processing system receives from the non-process requester, an authentication request including a purported authentication code. The system then verifies that the purported authentication code matches the unique authentication code. Upon positive verification, the system transmits an instruction to the CSM to carry out a cash exchange according to the requested account transaction.

Abstract: Aspects of the disclosure relate to training a labeling model to automatically generate labels for objects detected in a vehicle's environment. In this regard, one or more computing devices may receive sensor data corresponding to a series of frames perceived by the vehicle, each frame being captured at a different time point during a trip of the vehicle. The computing devices may also receive bounding boxes generated by a first labeling model for objects detected in the series of frames. The computing devices may receive user inputs including an adjustment to at least one of the bounding boxes, the adjustment corrects a displacement of the at least one of the bounding boxes caused by a sensing inaccuracy. The computing devices may train a second labeling model using the sensor data, the bounding boxes, and the adjustment to increase accuracy of the second labeling model when automatically generating bounding boxes.

Abstract: Systems and methods for measuring micro-architectural properties of vascular networks are described herein. An example method can include injecting an ultrasound contrast agent into a medium, and transmitting a plurality of acoustic pulses into the medium using a ultrasound transducer array. Each respective acoustic pulse can be transmitted from one or more elements of the ultrasound transducer array. The method can also include receiving a plurality of backscattered signals with the ultrasound transducer array in response to each respective acoustic pulse, and obtaining a response matrix including the backscattered signals. The method can further include extracting a coherent or incoherent contribution to the backscattered signals from the response matrix, and quantifying a property of a vascular network based on the coherent or incoherent contribution to the backscattered signals.

Abstract: Methods for accelerated code injection detection using operating system controlled memory attributes are performed by systems and apparatuses. The methods optimize search operations for memory segments in system and virtual memories by searching for segment attributes. A set of memory segments is determined wherein each memory segment in the set includes specific attributes. The memory segments in the set are ranked for a threat level based on segment attribute. The threat level is used to determine subsequent actions including providing indications of the memory segments in the set and initiating execution of an anti-malware application. Relevant segment attributes used for the segment search can be dynamically updated in an attribute list. Segment attributes of a segment can be determined by accessing a memory manager of an operating system via an API.