Abstract: Methods, apparatus, and processor-readable storage media for implementing synchronization systems for ALM are provided herein. An example computer-implemented method includes identifying ALM tools in conjunction with at least one software application development task; establishing a connection between at least a first and at least a second of the ALM tools using one or more APIs associated with the at least a first ALM tool and the at least a second ALM tool; determining data mapping rules and data transformation rules associated with the at least a first ALM tool and the at least a second ALM tool; and synchronizing data, related to the at least one software application development task, from the at least a first to the at least a second ALM tool, via the connection and in accordance with at least a portion of the data mapping rule(s) and the data transformation rule(s).

Abstract: Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.

Abstract: Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.

Abstract: The present invention provides a system and method for enabling interactions between availers (110) and providers (310), comprising a user interface wherein a first user interface (120) is accessed by the plurality of availers (110) and a second user interface (320) is accessed by the plurality of providers (310), a platform (200), an assessment engine (210), a database module (220), and a segregation module (230). Further, the plurality of availers (110) may upload unedited manuscripts (130) showcasing the technical subject matter of a research onto the platform (200), which if approved by the assessment engine (210) may be stored in the database (220) and displayed to the plurality of providers (310). Subsequently, the plurality of providers (310) may be capable to showcase interest (250) in the manuscript (130) of interest.

Abstract: Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.