(57) ABSTRACT A method of construction of a feedforward neural network includes a step of
initialization of a neural network according to an initial topology, and at least one topological …

A computer-implemented method of automatically determining an optimized design for
manufacturing a real-world object includes: defining, in memory of a computer-based …

Certain aspects of the present disclosure provide techniques for object positioning using
mixture density networks, comprising: receiving radio frequency (RF) signal data collected in …

US20230196629A1 - Generating microstructures for materials based on machine learning
models - Google Patents US20230196629A1 - Generating microstructures for materials …

US11586161B2 - Machine learning approach for fatigue life prediction of additive
manufactured components accounting for localized material properties - Google Patents …

In various embodiments, a topology optimization application solves a topology optimization
problem associated with designing a three-dimensional (“3D”) object. The topology …

In various embodiments, a training application trains a machine learning model to modify
portions of shapes when designing 3D objects. The training application converts first …

A simulation-assisted additive manufacturing system and method for generating an
anisotropic compensation to account for non-uniform deformation due to additive …

A computer-implemented method for operating a laser material processing machine. An
estimated result is ascertained as a function of predefined process parameters, which …

G06Q 10/20 (202301) future damage estimates for the component. The system (() 6N 7/() 2
(200601) detects damage to the component and estimates the magni-(() 6N 2 ()/()()(201901) …