Abstract: Machine learning systems and methods are disclosed for prediction of wound healing, such as for diabetic foot ulcers or other wounds, and for assessment implementations such as segmentation of images into wound regions and non-wound regions. Systems for assessing or predicting wound healing can include a light detection element configured to collect light of at least a first wavelength reflected from a tissue region including a wound, and one or more processors configured to generate an image based on a signal from the light detection element having pixels depicting the tissue region, determine reflectance intensity values for at least a subset of the pixels, determine one or more quantitative features of the subset of the plurality of pixels based on the reflectance intensity values, and generate a predicted or assessed healing parameter associated with the wound over a predetermined time interval.

Abstract: A system including a fabric manager, a memory mapper, and a switch is described. The memory mapper receives and stores mapping information from the fabric manager that maps memory locations in a plurality of hosts to corresponding memory locations in a plurality of physical devices. The switch receives at least a portion of the mapping information from the memory mapper, receives a request from a host, and accesses memory that is identified by the request on a physical device of the plurality of physical devices.

Abstract: A seeing device and process that enables a visually impaired user to “see” using touch. It comprises: Sensors/cameras worn approximately at eye level, a microprocessor, and a garment that contains small tactile elements in a matrix that vibrate in a pattern related to the location of objects in front of the user. The cameras take pictures of the area and then map the depth and position of objects. This map is translated onto a person's skin through the garment with tactile elements with each tactile element corresponding to a zone in real space. Some of the tactile elements will trigger sequentially in a snaking pattern with only certain ones activating in a pattern. This will help the person sense where there are objects in his/her path.

Abstract: Methods and systems for generating control instructions for a plurality of transmissions having dissimilar gear configurations via a common software framework are described. In one example, the common software framework provides a graphic interface whereby a user/implementer describes configurations of different transmissions. The software framework generates instructions for different transmission controllers that shift the transmissions.

Abstract: A seeing device and process that enables a visually impaired user to “see” using touch. It comprises: Sensors/cameras worn approximately at eye level, a microprocessor, and a garment that contains small tactile elements in a matrix that vibrate in a pattern related to the location of objects In front of the user. The cameras take pictures of the area and then map the depth and position of objects. This map is translated onto a person's skin through the garment with tactile elements with each tactile element corresponding to a zone in real space. Some of the tactile elements will trigger sequentially in a snaking pattern with only certain ones activating in a pattern. This will help the person sense where there are objects in his/her path.

Abstract: A system for supply control includes an input interface and a processor. The input interface is to receive an indication of an expected event. The processor is to determine a historic event similar to the expected event, determine an expected driver demand for the expected event based at least in part on the similar historic event, and determine one or more incentives to meet the expected driver demand.

Abstract: Methods and systems for generating control instructions for a plurality of transmissions having dissimilar gear configurations via a common software framework are described. In one example, the common software framework provides a graphic interface whereby a user/implementer describes configurations of different transmissions. The software framework generates instructions for different transmission controllers that shift the transmissions.

Abstract: A system comprising: an input receiving an input document comprising text data and graphical data distinguishing hierarchically first and second portion of the text data; a display displaying said input document; a user interface allowing a user to add, in superposition with the displayed input document, boundary markers visually bounding said first and second text portions; and a processor arranged for, using the boundary markers added to the displayed input document, training a layout data analysis model to determine, in a further input document having further text data, if graphical data distinguishes hierarchically first and second portions of the further text data to display automatically boundary markers visually bounding said first and second portions of said further text data; the user interface allowing said user to correct the boundary markers displayed by the layout analysis model and the processor training the layout data analysis model using the corrected boundary markers.

Abstract: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Abstract: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Abstract: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Abstract: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Abstract: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Abstract: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Abstract: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Abstract: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Abstract: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Abstract: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Abstract: Data mapping alternatives for creating a visual representation of a set of data are presented. A set of data is identified for analysis. The identified set of data and properties associated with the identified set of data are analyzed. Based on the analysis, data mapping alternatives for the identified set of data are determined. The determined data mapping alternatives for the identified set of data are ranked. The determined data mapping alternatives are presented in an order according to the ranking of the determined data mapping alternatives.