Abstract: A computer-assisted method for providing re-quotations for insurance coverage may include receiving a list of insurance leads corresponding to individuals who received a previous quotation for insurance coverage but did not purchase the insurance coverage and identifying a difference between the previous quotation and a new quotation. This difference may include an increase in offered insurance coverage and/or a reduction in cost. A computing device may calculate a probability for each of the individuals on the list using a regression model based, at least in part, on the identified difference. In some cases, the regression model may be associated with individual states. In other cases, the regression model may correspond to a plurality of states. The regression model may output a probability that a resident of a particular state will purchase insurance in response to a re-quotation for insurance coverage, where individuals may then be ranked based on the probability.

Abstract: A method, system, and non-transitory computer readable media for converting input from a user into a human interface device (HID) output to cause a corresponding action at an mapped device includes receiving one or more user input from a user at an input device, analyzing the user input selecting a command from a command profile that maps at least one of the received user inputs to one or more mapped tasks, executing the one or more mapped tasks associated with the selected command, and causing one or more corresponding actions at one or more mapped devices associated with the one or more mapped tasks.

Abstract: A method of improving performance of machine learning models by leveraging crowdsourced artificial intelligence includes sending first data to a plurality of data source compute nodes and receiving indications of stakes and estimates based on the first data from the plurality of data source compute nodes. Each data source compute node is ranked based on the received indications of stakes, to generate a plurality of ranked data source compute nodes. An accuracy of each received estimate is calculated by comparing the received estimates to second data. Until a predefined resource is depleted, and in order of rank, if the accuracy of the estimate associated with a ranked data source compute node exceeds a predefined threshold, the predefined resource is decremented and a token augmentation can be assigned to the ranked data source compute node.

Abstract: A method of improving performance of machine learning models by leveraging crowdsourced artificial intelligence includes sending first data to a plurality of data source compute nodes and receiving indications of stakes and estimates based on the first data from the plurality of data source compute nodes. Each data source compute node is ranked based on the received indications of stakes, to generate a plurality of ranked data source compute nodes. An accuracy of each received estimate is calculated by comparing the received estimates to second data. Until a predefined resource is depleted, and in order of rank, if the accuracy of the estimate associated with a ranked data source compute node exceeds a predefined threshold, the predefined resource is decremented and a token augmentation can be assigned to the ranked data source compute node.

Abstract: A cube map is used for determining the appearance of a surface by means of a precomputed texture image. Embodiments of the present invention are drawn computer systems and methods for rendering a spherical projection as a cube map that mitigates non-uniform pixel density near the edges of the cube map to avoid artifacts and increase rendering performance.

Abstract: Marker commands are added to a stream of commands that are executed by a graphics processing unit (GPU) in a computing system. While the GPU executes the commands, information is written to a memory location each time a marker is reached in the pipeline. The memory location is accessible to the central processing unit (CPU), and the information identifies a command executed by the GPU. If the CPU receives an indication that the GPU is in an invalid state, then the CPU responds by accessing the memory location to identify the command executed in the pipeline of the GPU. Consequently, a command that was executing when the GPU entered the invalid state can be identified. This information can be used to pinpoint the cause of the invalid state.

Abstract: A cube map is used for determining the appearance of a surface by means of a precomputed texture image. Embodiments of the present invention are drawn computer systems and methods for rendering a spherical projection as a cube map that mitigates non-uniform pixel density near the edges of the cube map to avoid artifacts and increase rendering performance.

Abstract: Marker commands are added to a stream of commands that are executed by a graphics processing unit (GPU) in a computing system. While the GPU executes the commands, information is written to a memory location each time a marker is reached in the pipeline. The memory location is accessible to the central processing unit (CPU), and the information identifies a command executed by the GPU. If the CPU receives an indication that the GPU is in an invalid state, then the CPU responds by accessing the memory location to identify the command executed in the pipeline of the GPU. Consequently, a command that was executing when the GPU entered the invalid state can be identified. This information can be used to pinpoint the cause of the invalid state.

Abstract: Methods and compositions for detecting and characterizing target biomolecules using sensitizer-linked substrate molecules are disclosed. High throughput screening assays and therapeutic applications of the inventions are also included.

Abstract: An object monitoring system includes a camera node (2) for monitoring movement of an object (18) to determine an acquisition time when an image of the object (18) is to be acquired and acquiring the image at the predetermined time. The system includes a camera (6) which is able to monitor moving objects (18), and image processing circuitry (10), responsive to the camera (6), which is able to detect a predetermined moving object (18) from other moving and static objects. From the image acquired, information identifying the object (18) can be automatically extracted. The system is particularly suited to monitoring and discriminating large vehicles (18) from other vehicles over a multi-lane roadway, and acquiring high resolution images of the large vehicles (18) at a predetermined acquisition point (22).