Abstract: A system and method for machine learning architecture for prospective resource allocations are described. The method may include: receiving data records representing historical resource allocations from a user account associated with a first identifier to a resource account associated with a second identifier; deriving input features based on the data records; computing, using a trained neural network architecture, a predicted resource allocation amount and a predicted resource allocation date for the predicted resource allocation amount based on the derived input features; determining, using the trained neural network architecture, a first selection score associated with the predicted resource allocation amount and a second selection score associated with the predicted resource allocation date; and when the first or second selection score is above a minimum threshold, causing to display, at a display device, the associated resource allocation amount or date corresponding to the second identifier.

Abstract: A method of creating a bend in a construction component for use in a transportation vehicle. The method comprises providing a plurality of cuts in the construction component so as to create a region of increased flexibility in the construction component. The method further comprises bending the construction component in the region of increased flexibility so as to cause the construction component to acquire a bent shape, and then rigidifying the construction component in the region of increased flexibility so as to cause said construction component to maintain the acquired bent shape.

Abstract: A method of creating a bend in a construction component for use in a transportation vehicle. The method comprises providing a plurality of cuts in the construction component so as to create a region of increased flexibility in the construction component. The method further comprises bending the construction component in the region of increased flexibility so as to cause the construction component to acquire a bent shape, and then rigidifying the construction component in the region of increased flexibility so as to cause said construction component to maintain the acquired bent shape.

Abstract: A system for automatic calibration of instruments (S) having varying cross-sectional dimensions within a predetermined range and having detectable elements (110, 112, 113, 114) thereon for computer-aided surgery, comprising a calibration base (C) having detectable elements (43, 44, 46, 48) secured thereto for detecting a position and an orientation thereof in space by sensors (204) connected to a position calculator (202). The calibration base is adapted to receive and to releasably secure a working shaft (100) of any of the instruments (S) and provides an abutting surface (14) for a tip (102) thereof in such a way that a position and orientation of the tip (102) of the instrument (S) secured therein is calculable when working shaft cross-section dimensions thereof are known. The position calculator (202) receives instrument data (214) and calibration data (218) from an operator through a user interface (206) and stores the instrument data (214) and calibration data (218) for subsequent calibrations.