Abstract: Methods and server systems for computing fraud risk scores for various merchants associated with an acquirer described herein. The method performed by a server system includes accessing merchant-related transaction data including merchant-related transaction indicators associated with a merchant from a transaction database. Method includes generating a merchant-related transaction features based on the merchant-related indicators. Method includes generating via risk prediction models, for a payment transaction with the merchant, merchant health and compliance risk scores, merchant terminal risk scores, merchant chargeback risk scores, and merchant activity risk scores based on the merchant-related transaction features. Method includes facilitating transmission of a notification message to an acquirer server associated with the merchant.

Abstract: A system of controlling operation of a vehicle includes one or more sensors operatively connected to the vehicle. The sensors are configured to obtain respective data of a scene and include a radar unit. A command unit is adapted to receive the respective data and includes a processor and tangible, non-transitory memory on which instructions are recorded. The command unit is configured to determine an orientation angle of a pedestrian in the scene, a Doppler frequency of the pedestrian and a distance of the pedestrian from a border of a road, based in part on the respective data. The orientation angle is based on a heading of the pedestrian relative to a direction of a road. The command unit is configured to designate a status of the pedestrian as either crossing or not crossing based on the distance, the orientation angle and the Doppler frequency of the pedestrian.

Abstract: Systems, devices, computer-implemented methods, and tangible non-transitory computer-readable media for generating reports from one or more databases that store disparate datasets are provided. Specifically, the proposed systems enable the intelligent generation of reports from multiple datasets by automatically determining a proposed set of join configurations for combination of the multiple datasets. Unique identifiers can be assigned to a portion of the combined dataset and the combined dataset can be expanded for performing an aggregation operation associated with the portion of the combined dataset by referencing the one or more unique identifiers. Reports can be generated based on the combined dataset and the aggregation operation.

Abstract: Methods and server systems for improving accuracy of authorization optimizer are described herein. Method performed by server system includes receiving a Non-Sufficient Funds (NSF) error message from an acquirer server. Method includes accessing historical transaction data from a transaction database. The historical transaction data includes transaction related information associated with a plurality of users. Method includes generating a plurality of transaction features associated with the user based on the historical transaction data. Method includes determining via an authorization optimizer model, an optimal time slot from a plurality of time slots for the user based on the plurality of transaction features associated with the user. The optimal time slot indicates an optimal time window for the acquirer server to transmit an upcoming recurring payment request to the payment account of the user.

Abstract: An automated driving system includes an object detection system. A neural network image encoder generates image embeddings associated with an image including an object. A neural network text encoder generates concept embeddings associated with each of a plurality of concepts. Each of the plurality of concepts is associated with one of at least two object classes. A confidence score module generates a confidence score for each of the plurality of concepts based on the image embeddings and the concept embeddings associated with the concept. An object class prediction module generates a predicted object class of the object based on an association between a set of concepts of the plurality of concepts having at least two of the highest values of the generated confidence scores and the one of the at least two object classes associated with a majority of the set of concepts.

Abstract: A system in a vehicle includes a camera to obtain video in a field of view over a number of frames and a controller to process the video to identify one or more pedestrians. The controller also implements a neural network to provide a classification of a motion of each pedestrian among a set of classifications of pedestrian motion. Each classification among the set of classifications indicates initiation of the motion or no change in the motion. The controller predicts a trajectory for each pedestrian based on the classification of the motion, and controls operation of the vehicle based on the trajectory predicted for each pedestrian.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to determine a pairwise region of interest feature similarity based on features extracted from a first cropped image portion and corresponding point cloud data and features extracted from a second cropped image portion and corresponding point cloud data. The processor is also programmed to determine a loss using a loss function based on the pairwise region of interest feature similarity, wherein the loss function corresponds to at least one a first deep neural network or a second deep neural network. The processor is also programmed to update at least one weight of the at least one of the first deep neural network or the second deep neural network based on the loss.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: receive intermediate concept constraints at a neural network and train the neural network with training data, training labels, and the at least one of the data constraint, the feature constraint, or the intermediate concept constraint.

Abstract: An automated driving system includes an object detection system. A neural network image encoder generates image embeddings associated with an image including an object. A neural network text encoder generates concept embeddings associated with each of a plurality of concepts. Each of the plurality of concepts is associated with one of at least two object classes. A confidence score module generates a confidence score for each of the plurality of concepts based on the image embeddings and the concept embeddings associated with the concept. An object class prediction module generates a predicted object class of the object based on an association between a set of concepts of the plurality of concepts having at least two of the highest values of the generated confidence scores and the one of the at least two object classes associated with a majority of the set of concepts.

Abstract: The present invention includes a system and method for analyzing animals including: a media reservoir and a media pump in fluid communication with the media reservoir; a food reservoir and a food pump in fluid communication with the food reservoir; an input port in fluid communication with the media pump and the food pump; a microfluidic device in fluid communication with the input port including: a micropillar arena or a plurality of micropillar chambers; an outlet port in fluid communication with the microfluidic device; a light source positioned outside the micropillar arena to illuminate the interior of the micropillar arena; an imager positioned outside the micropillar arena to image the interior of the micropillar arena; and a controller coupled to the media pump, the food pump, the microfluidic device, the light source, and the imager.

Abstract: A method can include providing a trained neural network; providing a set of production values where the set includes, for example, a cumulative production value for an interval, an average production value for the interval, a first production value for the interval and a last production value for the interval; and predicting at least one production value for a subsequent interval based at least in part on the trained neural network and the provided set of production values. Various other apparatuses, systems, methods, etc., are also disclosed.

Abstract: A method can include providing a trained neural network; providing a set of production values where the set includes, for example, a cumulative production value for an interval, an average production value for the interval, a first production value for the interval and a last production value for the interval; and predicting at least one production value for a subsequent interval based at least in part on the trained neural network and the provided set of production values. Various other apparatuses, systems, methods, etc., are also disclosed.

Abstract: Methods and apparatus, including computer program products, for extending and associating chats with execution instances of programs. A method includes, in a computer system, extending and associating chats with execution instances of programs.

Abstract: Scalable techniques for rendering emissions represented using segments of streaming data, the emissions being potentially perceivable from many points of perception and the emissions and the points of perception having relationships that vary in real time. The techniques filter the segments by determining for a time slice whether a given emission is perceptible to a given point of perception. If it is not, the segments of streaming data representing the emission are not used to render the emissions as perceived from the given point of perception. The techniques are used in networked virtual environments to render audio emissions at clients in a networked virtual reality system. With audio emissions, one determinant of whether a given emission is perceivable at a given point of perception is whether psychoacoustic properties of other emissions mask the given emission.

Abstract: Methods and apparatus, including computer program products, for voice-based entertainment activity in a networked environment. A method includes, in a network of interconnected computers, establishing a connection between the client and a server, the client comprising a web browser and an audio input/output device, receiving a list of entertainment games over the connection from the server, selecting an entertainment game from the list, receiving a globally unique identifier from the server corresponding to the selected entertainment game, the globally unique identifier having an associated voice channel and text channel, in response to a client request to initiate game play, sending audio to the server through the audio input/output device and receiving audio from the server through the audio/input device, in response to a client request to terminate game play, terminating the associated voice channel, and receiving text messages from the server over the associated text channel.

Abstract: A system for enabling controlled application of derived who-is-speaking indications related to activity of participants to a live multiparty communications conference or recorded outputs. The system includes a first node hosting a conference bridging switch, software or a combination thereof, having multiple conference input channels; a second node having data access to at least an output signal port of the conference bridging switch, software, or a combination thereof, and a software application distributed wholly to the first or second node, or in parts to the first and second node. The application is used to apply the who is speaking indications to output communications, data files, or data streams, forwarded to one of, a select potion of, or combination of, the conference participants, non-participant third parties, and one or more storage facilities.