Embodiments of a variable system for simulating the operation of an autonomous system, such as an autonomous vehicle, are disclosed. A layered approach for defining variables can allow changing the specification of those variables under the rules of override and refinement, while leaving the software components that query those variables at runtime unaffected. The variable system can facilitate, among others, deterministic sampling of variables, simulation variations, noise injection, and realistic message timing. These applications can make the simulator more expressive and more powerful by virtue of being able to test the same scenario under many different conditions. As a result, more exhaustive testing can be performed without requiring user intervention and without having to change the individual software components of the simulator.

Systems and methods of determining a global model are provided. In particular, one or more local updates can be received from a plurality of user devices. Each local update can be determined by the respective user device based at least in part on one or more data examples stored on the user device. The one or more data examples stored on the plurality of user devices are distributed on an uneven basis, such that no user device includes a representative sample of the overall distribution of data examples. The local updates can then be aggregated to determine a global model.

Systems, devices, methods, and computer-readable media for concurrent visualization of sensor and communications operations. A method can include receiving mission data indicating a target, a sensor, a communications system, and an operation to be performed regarding the target, identifying one or more operational layer, functional layer, and physical layer models for the sensor and communications system, and a physical layer model for weather, identifying, based on a comparison of the physical models of the sensor and communications system to a propagation equation, any gaps or inconsistencies between the physical models of the sensor and communications system and the propagation equation, and executing a simulation model resulting in a visual display of execution of the mission using the sensor and the communications system, the simulation model generated based on a filler model that fills any identified gaps or fixes any identified inconsistencies.

A design engine is configured to automatically generate designs for multi-family housing projects that simultaneously meet local construction regulations while also meeting specific financial targets. A design generator within the design engine generates a first generation of design options that reflect historical design trends. A design evaluator within the design engine then generates design metrics that quantify various attributes of the different design options. The design generator identifies a subset of the design options that optimally balance some or all of the various design metrics, and then generates a subsequent generation of design options that includes design features derived from the subset of design options.

A design engine automatically generates designs for multi-family housing projects that simultaneously meet local construction regulations while also meeting specific financial targets. The design engine includes a design analyzer, a site analyzer, a design generator, and a design evaluator. The design analyzer generates design trends based on a historical database of designs. The site analyzer generates design criteria based on relevant construction regulations. The design generator generates design options that reflect the design trends while also adhering to the construction regulations. The design evaluator then analyzes the design options and generates various design metrics. Based on the design metrics, the design generator generates additional design options that better meet the design criteria.