Abstract: In various embodiments, a workflow application generates and evaluates designs that reflect stylistic preferences. In operation, the workflow application determines a target style based on input received via a graphical user interface (GUI). Notably, the target style characterizes a first set of designs. The workflow application then generates stylized design(s) based on stylization algorithm(s) associated with the target style. Subsequently, the workflow application, displays a subset of the stylized design(s) via the GUI. A stylized design included in the subset of stylized design(s) is ultimately selected for production via the GUI. Advantageously, because the workflow application can substantially increase the number of designs that can be generated and evaluated based on the target style in a given amount of time, relative to more manual prior art techniques, the overall quality of the stylized design selected for production can be improved.

Abstract: A design engine systematically explores a design space associated with a design problem related to mechanical assemblies. The design engine implements a constraint programming approach to produce mechanical assembly configurations that adhere to a set of design constraints. For each feasible configuration, the design engine then optimizes various parameters to generate design options that meet a set of design objectives. With these techniques, the design space can be explored very quickly to generate significantly more feasible design options for the mechanical assembly than possible with conventional manual approaches. Accordingly, numerous design options can be generated that may otherwise never be produced using those conventional approaches.

Abstract: One embodiment of a computer-implemented method for automatically generating command recommendations for a software workflow comprises identifying a plurality of command sequences stored in a database based on a current command being interacted with in a graphical user interface; computing a score for each command sequence included in the plurality of command sequences based on one or more commands included in the command sequence and one or more commands included in a command history; determining at least one command sequence included in the plurality of command sequences to output based on the scores; and outputting the at least one command sequence for display.

Abstract: A method, system, and article of manufacture provide for multi-user collaboration on a three-dimensional (3D) design. The 3D design is acquired in a computer-aided design (CAD) application. A commenting process for a comment to be associated with a selected part of the 3D design is activated. Textual user input for the comment is dynamically processed as the comment is received. The processing recognizes that the text relates to creating or modifying the selected part, retrieves a list of alternative parts (based on similarities between the alternative parts and the selected part), and displays a graphic representation of an alternative part. An alternative part is selected and inserted in the comment as a proposed replacement part. The comment including the proposed replacement part is provided to another user.

Abstract: A workflow engine processes a work problem to generate solutions for the work problem comprising a plurality of related optimization problems. The work problem may comprise a second optimization problem that is dependent on a first optimization problem, such that at least one solution for the first optimization problem is to be utilized as an initial solution for the second optimization problem. The workflow engine generates and stores a branch object for each optimization problem, each branch object specifying a solver engine assigned for processing the optimization problem and dependency information indicating a dependency relationship between the optimization problem and another optimization problem. The workflow engine processes the work problem based on the branch objects by initiating each solver engine to perform optimization operations on the assigned optimization problem based on the corresponding branch object to generate one or more solutions for the assigned optimization problem.

Abstract: An agent engine allocates a collection of agents to scan the surface of an object model. Each agent operates autonomously and implements particular behaviors based on the actions of nearby agents. Accordingly, the collection of agents exhibits swarm-like behavior. Over a sequence of time steps, the agents traverse the surface of the object model. Each agent acts to avoid other agents, thereby maintaining a relatively consistent distribution of agents across the surface of the object model over all time steps. At a given time step, the agent engine generates a slice through the object model that intersects each agent in a group of agents. The slice associated with a given time step represents a set of locations where material should be deposited to fabricate a 3D object. Based on a set of such slices, a robot engine causes a robot to fabricate the 3D object.

Abstract: One embodiment of the present invention sets forth a technique for adding dimensions to a target drawing. The technique includes generating a first set of node embeddings for a first set of nodes included in a target graph that represents the target drawing. The technique also includes receiving a second set of node embeddings for a second set of nodes included in a source graph that represents a source drawing, where one or more nodes included in the second set of nodes are associated with one or more source dimensions included in the source drawing. The technique further includes generating a set of mappings between the first and second sets of nodes based similarities between the first set of node embeddings and the second set of node embeddings, and automatically placing the one or more source dimensions within the target drawing based on the set of mappings.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes, where three dimensional (3D) models of the physical structures can be produced to include lattices, hollows, holes, and combinations thereof, include: obtaining design criteria for an object; iteratively modifying 3D topology and shape(s) for the object using generative design process(es) that employ a macrostructure representation, e.g., using level-set method(s), in combination with physical simulation(s) that place void(s) in solid region(s) or solid(s) in void region(s) of the generative model of the object; and providing a 3D model of the generative design for the object for use in manufacturing a physical structure corresponding to the object using one or more computer-controlled manufacturing systems.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for designing and manufacturing physical objects including lattice structures include, in one aspect, a method including: obtaining a skeleton model of a lattice structure, constructing a control point frame surface model using the skeleton model, generating a shell mesh model of the lattice structure using the control point frame surface model, performing numerical simulation of a physical object using the shell mesh model included within a 3D model of the physical object to produce an assessment, modifying the skeleton model or the control point frame surface model based on the assessment to change the lattice structure until it satisfies at least one response requirement, producing from the control point frame surface model a solid body model of the lattice structure hollow beams, and providing at least the solid body model for use in manufacturing a hollow lattice structure.

Abstract: A subtask assignment system for assisting groups of workers to complete a task more efficiently. The task may comprise a physical assembly task of an object. The physical assembly task comprises a plurality of subtasks that must each be completed to complete the physical assembly task. The subtask assignment system may include an assignment server connected to a plurality of user devices via a network, each user device being operated by a particular worker. The assignment server may execute an assignment engine that receives inputs describing the overall task and group of workers, generates a task model representing the task based on the inputs, populates a parameters table based on the inputs, and automatically determines subtask assignments for the group of workers based on the task model and the parameters table. The assignment server determines an optimal subtask to assign to each worker based on the parameters.

Abstract: One embodiment of the present invention sets forth a technique for performing machine learning. The technique includes applying one or more placement rules to a floorplan of a building to generate a set of candidate column locations in the floorplan. The technique also includes selecting, using a first reinforcement learning (RL) agent, one or more column locations from the set of candidate column locations based on a structural stability of the one or more column locations. The technique further includes outputting the floorplan that includes the one or more column locations as a structural design for the building.

Abstract: A system and method control a water resource infrastructure (WRI). The WRI has infrastructure components that are actuatable to cause a change to the WRI. A monitoring system has sensors that collect operating data that describes a state of the infrastructure components. A disturbance data provider provides disturbance data that may be expected to have an impact on operational parameters of the infrastructure components. A control mechanism scheduler receives the disturbance data and the operating data, trains to generate a schedule of setpoints for a control system in accordance with approaching a predetermined objective, and retrieves and outputs the schedule of setpoints in response to receiving real-time operational data. A control system receives the schedule of setpoints controls the infrastructure components based thereon.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of structures include, in one aspect, a method for hybrid surface modelling with subdivision surfaces and NURBS surfaces, the method including: modifying a control mesh (in accordance with received input) of a subdivision surface model including a topological control that tracks mesh to NURBS relationships for a limit surface of the subdivision surface, and stored NURBS surfaces representing the limit surface; obtaining an updated limit surface from the modified control mesh; finding at least one modified NURBS surface in the stored NURBS surfaces in accordance with relationship(s) tracked in the topological control; and for each modified NURBS surface, updating the modified NURBS surface with its corresponding replacement NURBS surface, and applying at least one geometric modification (associated with a modified NURBS surface in a history procedures system) to the associated modified NURBS surface a

Abstract: In various embodiments, a training application generates a trained encoder that automatically generates shape embeddings having a first size and representing three-dimensional (3D) geometry shapes. First, the training application generates a different view activation for each of multiple views associated with a first 3D geometry based on a first convolutional neural network (CNN) block. The training application then aggregates the view activations to generate a tiled activation. Subsequently, the training application generates a first shape embedding having the first size based on the tiled activation and a second CNN block. The training application then generates multiple re-constructed views based on the first shape embedding. The training application performs training operation(s) on at least one of the first CNN block and the second CNN block based on the views and the re-constructed views to generate the trained encoder.

Abstract: Methods, systems, and apparatus for computer aided design of physical structures include: producing a quad parameterization computer model (including quad parameter domains) of a polygon mesh, where quad parameter domain(s) adjacent to a boundary curve interpolate the boundary curve; and forming a computer model of a three dimensional object by constructing locally refinable surface representation(s) from the quad parameterization computer model, refining a boundary of the locally refinable surface representation(s) to approximate the boundary curve within a first tolerance value set in accordance with a smallest dimension representable by a geometry modeling kernel, freezing control points of the locally refinable surface representation(s) at the boundary, and modifying remaining interior portions of the locally refinable surface representation(s) to approximate the polygon mesh within a second tolerance value that is at least an order of magnitude larger than the first tolerance value.

Abstract: An urban design pipeline automatically generates design options for an urban design project. The urban design pipeline includes a geometry engine and an evaluation engine. The geometry engine analyzes design criteria, design objectives, and design heuristics associated with the urban design project and then generates numerous candidate designs. The design criteria specify a property boundary associated with a region of land to be developed. The design objectives indicate a specific type of topology that is derived from an existing urban layout. The design heuristics include different sets of construction rules for generating designs with specific types of topologies. The geometry engine generates candidate designs that conform to the property boundary and have topological characteristics in common with the existing urban layout.

Abstract: One embodiment of the invention disclosed herein provides a system that includes a mirror apparatus with a first surface to which a half-silvered mirror film is applied, where the mirror apparatus transmits a transmitted image from a second surface to the first surface. The system further includes a servo-controlled dimmer that adjusts a level of ambient light associated with the mirror apparatus. The system further includes a motion sensing device that tracks positions of a plurality of points associated with an object; wherein the object is situated on the half-silvered mirror film side of the mirror apparatus. The system further includes a computing device including a memory that stores instructions that, when executed by a processor included in the computing device, cause the processor to control the servo-controlled dimmer to adjust the ambient light such that both the transmitted image and a reflected image is visible on the first surface.

Abstract: A method and system provide the ability to design a space in a computer-aided design (CAD) application. A 3D model is acquired. The space is designed by defining Elements including a parent and a child element. Each Element encapsulates a geometric model, and consists of metadata that provides a summary of contents in each Element that enables an outside process to handle each Element without access to the encapsulated geometric model. An arbitrary logic Program is structured to generate a list of the child Elements. The 3D model is edited and updated in real time. During the updating, the Program is reexecuted to update the child elements while attempting to conserve a hierarchical structure of the Elements. The updated 3D model is provided via a graphical user interface that enables editing of the geometric model and the Elements in the space.

Abstract: A method and system provide for augmenting a photograph. An unlabeled photograph is obtained. A weakly augmented photograph and a strongly augmented photograph are obtained from the unlabeled photograph based on different types of data augmentation methods. The weakly augmented photograph is processed through a model to generate multiple weakly augmented photograph class predictions (with assigned probabilities). The multiple weakly augmented photograph class predictions are converted into positive pseudo-labels (indicating a presence of a class) or negative pseudo-labels (indicating absence of a class) using different fixed percentile thresholds. The strongly augmented photograph is processed through the model to generate a strongly augmented photograph class prediction. The model is trained to make the strongly augmented photograph label prediction match the positive pseudo-label via a cross-entropy loss. The trained model is then utilized to label the unlabeled photograph with multiple labels.

Abstract: Various embodiments set forth systems and techniques for generating seams for a 3D model. The techniques include generating, based on the 3D model, one or more inputs for one or more trained machine learning models; providing the one or more inputs to the one or more trained machine learning models; receiving, from the one or more trained machine learning models, seam prediction data generated based on the one or more inputs; and placing one or more predicted seams on the 3D model based on the seam prediction data.