Abstract: Systems and methods for generating and evaluating driving scenarios with varying difficulty levels is provided. The disclosed systems and methods may be used to develop a suite of regression tests that track the progress of an autonomous driving stack. A robustness trace of a temporal logic formula may be computed from an always-eventually fragment using a computation graph. The robustness trace may be approximated by a smoothly differentiable computation graph, which can be implemented in existing machine learning programming frameworks. The systems and methods provided herein may be useful in automatic test case generation for autonomous or semi-autonomous vehicles.

Abstract: A computer-implemented method for creating a computer-aided design (CAD) corresponding to a 2-dimensional rendering of an unfolded blank configured for manipulation into a 3-dimensional shape. The method includes obtaining a first digital, non-CAD design file containing information relating to the unfolded blank geometry but lacking metadata that defines cut or crease lines separately from surrounding content, and deriving, with a computer processor, a digital representation of the unfolded blank geometry based upon the first digital non-CAD design file. The digital representation includes defined data corresponding to a shape having one or more defined cut and/or crease lines. A system for performing the method includes a computer processor and machine-readable media accessible by the computer processor comprising non-transitory, instructions readable by the computer processor for performing the method steps of defining the digital non-CAD design file and deriving the digital representation therefrom.

Abstract: Methods and systems for optimizing the gas-oil separation plant (GOSP) operating parameters in order to maximize the stabilized crude oil recovery in an integrated framework of GOSP operation. The ambient temperature variations daily (day and night) and seasonal (summer and winter) are incorporated to show their impact on liquid recovery. An artificial intelligence model predicts stabilized crude oil recovery for a range of ambient temperatures. The optimal GOSP separator pressures which yield maximum stabilized crude oil recovery are determined for each ambient temperature. The separator pressures of the GOSP may be adjusted to achieve the maximum stabilized crude oil recovery under changing ambient temperatures.

Abstract: A computer-implemented method for designing a dispersive optical component includes: (i) defining a loss function within a simulation space composed of multiple voxels, the simulation space encompassing optical interfaces of the component, the loss function corresponding to a target dispersion profile for the component including a relationship between a scattering angle and a wavelength of an incident electromagnetic field for different operative wavelengths; (ii) defining an initial structure for the optical interfaces, at least some of the voxels corresponding to each optical interface having a dimension smaller than a smallest operative wavelength of the component; and (iii) determining, using a computer system, a structure for each optical interface using a finite-difference time domain solver to solve Maxwell's equations so that a loss determined according to the loss function is above a specified threshold.

Abstract: A computing system receives a stochastic process with a plurality of trajectories over time t. The computing system determines a first quantum circuit that, when executed by a quantum computing system, prepares a mixed quantum state ?? in the quantum computing system, where ? approximates a mixed quantum state of the stochastic process and is defined by: ? = ? traj P ? r [ traj ] ? ? "\[LeftBracketingBar]" ? traj ? ? ? traj ? ? "\[LeftBracketingBar]" , where Pr[traj] is a probability of a trajectory of the stochastic process, |?traj is a quantum state representing a trajectory of the stochastic process and is defined by ? "\[LeftBracketingBar]" ? traj ? = ? t f ? ( t ) ? ? "\[LeftBracketingBar]" t ? , where ƒ(t) is based on a value of the stochastic process at time t.

Abstract: A design simulator executes a rigid body simulation to position design elements within various design options according to configurations that meet design criteria while also promoting feasibility and desirability. The design simulator assigns physical properties to each design element, including a mass value and a velocity value. The design simulator then simulates rigid body interactions between design elements over a sequence of simulation steps. The design simulator stops the rigid body simulation when no collisions between design elements are detected or when other termination criteria are met. Once the rigid body simulation is complete, the final positions of each design element relative to one another represent a specific configuration of design elements for the corresponding design option.

Abstract: A method and system provide the ability to design a terrain surface. A triangular surface mesh representative of an existing surface is obtained. One or more constraints to control the triangular surface mesh are specified. Drainage for the triangular surface mesh is automatically determined based on the constraints. The triangular surface mesh is optimized based on the drainage and one or more design options. The optimizing modifies the triangular surface mesh to define drainage flow for the drainage.

Abstract: A system a method for controlling an operation of HVAC system is provided. The system comprises at least one processor; and memory having instructions stored thereon that, when executed by the at least one processor, cause the system to receive data indicative of the operation of the HVAC system and optimize a cost function to reduce a difference between a full thermal state of the conditioned environment simulated from the received data based on a physical model of airflow including a partial differential equation (PDE) and a thermal state of the conditioned environment reconstructed by an observer using a reduced order model (ROM) of airflow including an ordinary differential equation (ODE) from values of the full thermal state at a set of locations, wherein optimization of the cost function is a multivariable optimization of a structure of the observer and a structure of the ODE.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program retrieves an assembly and inspection plan for a product. The assembly and inspection plan includes a three-dimensional (3D) model of the product to be assembled. The program further creates an inspection task for an inspection operation in the assembly and inspection plan for the product. The program also associates the 3D model with the inspection task for the inspection operation.

Abstract: A method and system of dynamically generating a preview of an engineering object in a product lifecycle management environment is provided. A preview generation module is configured to obtain a meta file indicating association of one or more preview strategies selected from a plurality of preview strategies with the engineering object. The preview generation module is also configured to determine preview strategies associated with the engineering object based on the association of the preview strategies with the engineering object in the meta file, to dynamically generate a preview of the engineering object according to the determined preview strategies, and to display the generated preview of the engineering object on a graphical user interface of the user device.

Abstract: Systems and methods for deriving material coefficient values from physical measurements of physical objects are described. These physical measurements can provide material test data.

Abstract: Systems, computer-readable media, and methods for valuating measurement data, of which the method includes obtaining a first model of a subsurface volume, determining a baseline control parameter based on the first model, receiving new measurement data measured using a data collection device, the new measurement data representing one or more characteristics of the subsurface volume, and obtaining a second model of the subsurface volume based in part on the new measurement data. The first model is not based on the new measurement data. Further, the method includes determining an enhanced control parameter based on the second model, determining an enhanced value corresponding to the second model using the enhanced control parameter, determining a realized value corresponding to the second model using the baseline control parameter, and calculating a value of the new measurement data by comparing the enhanced value and the realized value.

Abstract: According to some embodiments, a surrogate model creation computer system includes a user interface to interact with a subject matter expert to create a scripted physics-based model workflow associated with an industrial asset. The surrogate model creation computer system further includes a surrogate model creation engine to automatically execute the scripted physics-based model workflow, in connection with a physics-based model of the industrial asset, to generate at least one response surface of the physics-based model workflow. The surrogate model creation engine may then use the response surface and a machine learning process to automatically create a surrogate model of the industrial asset. It may then be arranged to output the surrogate model for use by a substantially real-time analytics package associated with the industrial asset. According to some embodiments, scripting for a physics-based model workflow may also be automatically created.

Abstract: Disclosed is a method of generating and modifying a virtual model of a set of teeth, where the method provides that a restoration can be inserted into a physical model of the set of teeth manufactured from the virtual model of the set of teeth. A method of and a system for generating a virtual model of a set of teeth for manufacturing a physical model of the set of teeth, and to a physical model of a set of teeth.

Abstract: A computer-based method for rapidly updating a history-matched reservoir simulation model selected from among a plurality of history-matched reservoir simulation models hosted on an information technology system. A software module configured to perform an update by parametrically varying the time over the selected update period and the position for each selected well model file and a corresponding well update file, replacing outdated well model file data with well update file data at each respective time and each respective position. The method is configured by selecting a reservoir simulation model for update, a petroleum field model to use, a reservoir model within the field, and one or more wells within the reservoir for the update. The well model files to be updated and the time interval over which the updates are to be made can be set by a user.

Abstract: A drilling well underground kick processing method and device are described.

Abstract: Aspects of the invention include obtaining one or more feature values that define an architecture design of a memory array and implementing a machine learning model to obtain a predicted power, performance, and area (PPA) of the memory array based on the one or more features. The predicted PPA output by the machine leaning model is assessed based on predefined PPA goals. A design of an integrated circuit that includes the memory array is finalized and fabricated based on the predicted PPA meeting the predefined PPA goals.

Abstract: A computer-implemented method for simulation of an integrated circuit for yield analysis includes: a) for plurality of variables, generating initial sampling sets by sampling from provided distributions related to physical properties of circuits; b) selecting at least one sample from each initial set randomly and combining into initial simulation set; c) running initial simulation of operation of circuit, applying initial simulation set, the operation having passing/failing criterion; d) if fails: storing samples of initial set into initial sampling distributions for each variable; e) repeating steps b)-d) until sufficient failures obtained; f) building importance sampling distribution based on each initial sampling distribution, the importance distribution having lower, center, upper portions; g) generating secondary simulation set by drawing samples from importance sampling distribution for each variable; h) simulating circuit by applying the secondary set; i) repeating steps g)-h); j) mapping resulting yie

Abstract: Systems and method for realistic simulation of occupancy are provided herein. A context associated with one or more smart devices associated with a property is reterieved, Then, simulation content specific to the context is requested. The simulation content is then caused to be presented by the one or more smart devices.

Abstract: A method and system of providing customizable service for an asset. The method including generating a predictive model for each asset of a fleet, each predictive model based on an operational profile for the asset and including a probability density function associated with the operational durability of the asset, establishing a maintenance strategy associated with the asset, and combining each of the predictive models to generate a compound fleet performance model, the fleet performance model including a combined probability density function. The method also includes collecting actual asset performance and maintenance data to generate actual asset metrics, determining a fleet performance profile based on the actual asset metrics indicative of a health assessment of the fleet, comparing the predicted fleet performance with the actual fleet performance, and ascertaining actionable choices for managing the assets based on a deviation of the predicted and actual fleet performance.