Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

Abstract: A deal allocation platform is disclosed. The deal allocation platform may be configured to be used in multiple contexts, such as, for example, a batch processing context and a real-time context. Further, the deal allocation platform may be configured to reallocate users assigned to deals based on an approximation of a global optimization problem. In addition, the deal allocation platform may enable configuration of one or multiple experiments.

Abstract: Provided herein are methods, apparatus, and computer program products for suppressing content from ranked positioning in electronic correspondence based on rules-based scoring.

Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

Abstract: A method of determining a likelihood of presence of at least one type of arthritis in a hand of a patient is provided, the method comprising capturing an image of a hand of the patient, processing the hand image to determine at least one first predictive value indicative of presence or absence of arthritis in the hand based on presence or absence of a plurality of identifiable hand features in the hand image, the identifiable hand features including visible physical hand features that are usable to diagnose arthritis in the hand, receiving patient information from the patient, the patient information comprising a plurality of responses to a plurality of respective questions that are relevant to diagnosing arthritis in the hand, and determining a likelihood of presence of at least one type of arthritis in the hand using the at least one first predictive value and the patient information.

Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

Abstract: A deal allocation platform is disclosed. The deal allocation platform may be configured to be used in multiple contexts, such as, for example, a batch processing context and a real-time context. Further, the deal allocation platform may be configured to reallocate users assigned to deals based on an approximation of a global optimization problem. In addition, the deal allocation platform may enable configuration of one or multiple experiments.

Abstract: Provided herein are systems, methods and computer readable media for determining whether to suppress presentation of a promotion from a promotion program in an electronic correspondence to a consumer. An example system may performing operations comprising receiving a set of promotions selected for presentation to the consumer in the electronic correspondence, each promotion respectively associated with a promotion score representing an estimated acceptance of the associated promotion by the consumer, determining, using a rules-based filter comprising a set of rules, whether to modify the promotion score, including geofencing data and the consumer's previous promotion purchasing history, in an instance in which the promotion score is modified, determining whether to suppress presentation of the promotion in the electronic correspondence based at least in part on the modified promotion score.

Abstract: A deal allocation platform is disclosed. The deal allocation platform may be configured to be used in multiple contexts, such as, for example, a batch processing context and a real-time context. Further, the deal allocation platform may be configured to reallocate users assigned to deals based on an approximation of a global optimization problem. In addition, the deal allocation platform may enable configuration of one or multiple experiments.

Abstract: Provided herein are systems, methods and computer readable media for determining whether to suppress presentation of a promotion from a promotion program in an electronic correspondence to a consumer. An example system may performing operations comprising receiving a set of promotions selected for presentation to the consumer in the electronic correspondence, each promotion respectively associated with a promotion score representing an estimated acceptance of the associated promotion by the consumer, determining, using a rules-based filter comprising a set of rules, whether to modify the promotion score, including geofencing data and the consumer's previous promotion purchasing history, in an instance in which the promotion score is modified, determining whether to suppress presentation of the promotion in the electronic correspondence based at least in part on the modified promotion score.

Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

Abstract: The present invention features a highly sensitive assay for detecting frameshift mutations for high throughput use. Also provided herein are methods for diagnosing or determining a predisposition for developing medullary cystic kidney disease type 1 (MCKD1) in a subject by detecting a frameshift mutation in the GC-rich variable number of tandem repeats (VNTR) sequence of the mucin 1 gene (MUC-1).

Abstract: A deal allocation platform is disclosed. The deal allocation platform may be configured to be used in multiple contexts, such as, for example, a batch processing context and a real-time context. Further, the deal allocation platform may be configured to reallocate users assigned to deals based on an approximation of a global optimization problem. In addition, the deal allocation platform may enable configuration of one or multiple experiments.

Abstract: A deal allocation platform is disclosed. The deal allocation platform may be configured to be used in multiple contexts, such as, for example, a batch processing context and a real-time context. Further, the deal allocation platform may be configured to reallocate users assigned to deals based on an approximation of a global optimization problem. In addition, the deal allocation platform may enable configuration of one or multiple experiments.

Abstract: Provided herein are systems, methods and computer readable media for determining whether to suppress presentation of a promotion from a promotion program in an electronic correspondence to a consumer. An example system may performing operations comprising receiving a set of promotions selected for presentation to the consumer in the electronic correspondence, each promotion respectively associated with a promotion score representing an estimated acceptance of the associated promotion by the consumer, determining, using a rules-based filter comprising a set of rules, whether to modify the promotion score, including geofencing data and the consumer's previous promotion purchasing history, in an instance in which the promotion score is modified, determining whether to suppress presentation of the promotion in the electronic correspondence based at least in part on the modified promotion score.

Abstract: A technique includes modeling a fundamental component of a vibroseis sweep that is injected into the earth based on a ground force measurement and a reference sweep. The technique includes determining an operator to compensate seismic data acquired in response to the injected vibroseis sweep based at least in part on the reference sweep and the fundamental component, and the technique includes applying the operator to the seismic data.

Abstract: Described herein are compositions, kits and methods for diagnosing and tracking the progression of AMD in a subject by detecting the presence or absence of particular lipid metabolism markers associated with AMD. Predictive computer models of disease risk are also disclosed.

Abstract: The invention provides methods featuring the use of polymorphisms in the JARID2 gene to diagnosis autism.

Abstract: Methods are provided of screening for age-related macular degeneration (AMD), including a risk of a subject devel - oping AMD or a risk of a subject progressing to an advanced fom of AMD. The methods can include analyzing a sample obtained from the subject for the presence of at least one single nucleotide polymorphism (SNP) selected from the group consisting of rs4711751, rs6982567, rs1999930, rs13278062, rs1912795, rs2270637, rs12040406, rs1367068, rs1079982, rs1443179, rs7720497, and/or rs6 1800454.