Abstract: A system for data-driven, modular decision making and trajectory generation includes a computing system. A method for data-driven, modular decision making and trajectory generation includes: receiving a set of inputs; selecting a learning module such as a deep decision network and/or a deep trajectory network from a set of learning modules; producing an output based on the learning module; repeating any or all of the above processes; and/or any other suitable processes. Additionally or alternatively, the method can include training any or all of the learning modules; validating one or more outputs; and/or any other suitable processes and/or combination of processes.

Abstract: One embodiment includes a method for predicting the progression of a current state. The method obtains input information concerning time-series forecasts of a state of an entity. The input information includes baseline information known about the state of the entity at a start time; and context information that includes a vector of time-independent background variables related to the entity. The method determines a first forecast for the entity at a first timestep that is separated from the start time by a time gap. The first forecast is determined, by a point prediction model, based on the baseline information and the context information. The method derives, from an autoregressive function, a mean parameter for a probabilistic function. The mean parameter is derived based on: the first forecast; and a learnable function trained based on the time gap and context information. The method parameterizes the probabilistic function based on the mean parameter.

Abstract: Described herein are swappable battery modules comprising immersion-thermally controlled prismatic battery cells and methods of operating thereof. A method comprises positioning a swappable battery module on an external charger comprising charger fluidic ports and sliding the swappable battery module to the charger fluidic ports until these charger's ports are fluidically coupled with the module's fluidic ports. Specifically, the external charger comprises an enclosure and a module support rail slidably coupling the swappable battery module and the enclosure. The module support rail comprises a rail base, a first slider, a second slider, and a lever-based unit, interconnecting the rail base and both sliders. The rail base is fixed to the enclosure, while the second slider is detachably coupled to the module. The two sliders move at different speeds or at the same speed relative to the charger base depending on proximity of the first end plate to the charger base.

Abstract: Described herein are swappable battery modules comprising immersion-thermally controlled prismatic battery cells and methods of operating thereof. A module comprises a tubular enclosure attached (e.g., glued) to different surfaces of the cells and forming two fluid channels with one side of the cells and two additional fluid channels with the opposite side. The module also comprises a first end plate, which is attached to the tubular enclosure and comprises two electrical terminals for connecting to an electric vehicle (EV) and/or external charger. The first end plate also comprises a first fluidic port (fluidically coupled with two fluid channels) and a second fluidic port (fluidically coupled to the remaining two fluid channels), both are configured to form fluidic coupling to the electric vehicle and/or the external charger. The module also comprises a second end plate that fluidically interconnects paid fluid channels from different cell sides.

Abstract: The present teachings relate to a device, system, and method for facial recognition and monitoring. The present teachings may relate to a method for recognizing and monitoring one or more users for an occurrence of a health event of the one or more users comprising: a) receiving incoming video data; b) preprocessing the video data; c) extracting facial data to identify one or more users; d) recognizing the presence, probability, and/or absence of the health event; e) generating one or more notifications or not generating based on the presence, probability, and/or absence of the health event; and f) optionally, enabling one or more safety protocols of a vehicle.

Abstract: Described herein are swappable battery modules comprising immersion-thermally controlled prismatic battery cells and methods of operating thereof. A method comprises positioning a swappable battery module on an external charger comprising charger fluidic ports and sliding the swappable battery module to the charger fluidic ports until these charger's ports are fluidically coupled with the module's fluidic ports. Specifically, the external charger comprises an enclosure and a module support rail slidably coupling the swappable battery module and the enclosure. The module support rail comprises a rail base, a first slider, a second slider, and a lever-based unit, interconnecting the rail base and both sliders. The rail base is fixed to the enclosure, while the second slider is detachably coupled to the module. The two sliders move at different speeds or at the same speed relative to the charger base depending on proximity of the first end plate to the charger base.

Abstract: A computing system is implemented as part of a vehicle architecture. The computing system includes a computing component, a first computing node that includes a power distribution system, a second computing node that includes input/output (I/O) interfaces to connect to devices, actuators, or sensors, and a third computing node. The computing component further comprises one or more processors and instructions or logic that, when executed by the one or more processors, cause the computing component to perform, transmitting commands to the second computing node, the commands associated with initial processing of data received at the second computing node, receiving initially processed data from the second computing node, and performing further processing on the initially processed data.

Abstract: Described herein are systems, methods, and non-transitory computer readable media for generating fused sensor data through metadata association. First sensor data captured by a first vehicle sensor and second sensor data captured by a second vehicle sensor are associated with first metadata and second metadata, respectively, to obtain labeled first sensor data and labeled second sensor data. A frame synchronization is performed between the first sensor data and the second sensor data to obtain a set of synchronized frames, where each synchronized frame includes a portion of the first sensor data and a corresponding portion of the second sensor data. For each frame in the set of synchronized frames, a metadata association algorithm is executed on the labeled first sensor data and the labeled second sensor data to generate fused sensor data that identifies associations between the first metadata and the second metadata.

Abstract: A system for designing a robot for performing a specified function includes a library, a robot design server, and a robot data server. The library stores data about modules and accessories for a robot and has at least unique IDs, dimensions, and firmware for operation of each module and accessory. The robot design server receives a set of functions and requirements of the new robot, finds a set of modules or accessories which match at least one of the set of functions and requirements, performs a set of validation tests against a set of criteria, identifies at least one design which passed the set of validation tests, and generates a list of modules and accessories and their unique IDs of a selected design and a connection map for the selected design. The robot data server downloads to the assembled robot the data and metadata of its modules and accessories.

Abstract: An apparatus for synthesizing speech according to an embodiment is a computing apparatus that includes one or more processors and a memory storing one or more programs executed by the one or more processors. The apparatus for synthesizing speech includes a pre-processing module that marks a preset classification symbol on each of unit texts input; and a speech synthesis module that receives each unit text marked with the classification symbol and synthesizes speech uttering the unit text based on the input unit text.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that automatically performs actions in an aquaculture environment based on light sensed by underwater cameras. One of the methods includes obtaining images of a surface of water captured by a camera that faces upwards from a depth towards the surface of the water within an enclosure that encloses aquatic livestock. An ambient light metric is determined at the depth from the images of the surface of the water. A determination is made as to whether the camera satisfies one or more depth criteria. Based on determining that the depth of the camera satisfies the one or more depth criteria, it is determined that, based on the ambient light metric at the depth, one or more action criteria are satisfied, then initiating performance of an action to be performed for the aquatic livestock.

Abstract: A method of waterflood management for reservoir(s) having production hydrocarbon-containing well(s) including injector well(s). A reservoir model has model parameters in a mathematical relationship relating a water injection rate to a total production rate of the production well including at least one of a hydrocarbon production rate and water production rate. A solver implements automatic differentiation utilizing training data regarding the reservoir including operational data that includes recent sensor and/or historical data for the water injection rate and the hydrocarbon production rate, and constraints for the model parameters. The solver solves the reservoir model to identify values or value distributions for the model parameters to provide a trained reservoir model. The trained reservoir model uses water injection schedule(s) for the injector well to generate predictions for the total production rate.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that control devices in an aquaculture environment. One of the methods includes determining a particular objective for a robot that is operating in an aquaculture environment and determining one or more sensed conditions that are associated with the aquaculture environment. The particular objective is provided to an anti-fish-startling model evaluation engine that is configured to output actions, for a given objective, that accomplish the given objective while reducing a startling effect on nearby fish. Based on providing the particular objective to the anti-fish-startling model evaluation engine, one or more particular actions for accomplishing the particular objective are determined. The one or more particular actions are transmitted to another device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that provides an enhanced synchronization framework. One of the methods includes a primary and a second device that receive configuration information which identifies one or more actions to be performed by the secondary device when it receives specified pulses of a sequence of pulses from the primary device. The primary device transmits a sequence of pulses. The primary and the secondary device receive a particular pulse from the sequence of pulses. The secondary device determines whether the particular pulse satisfies one or more predetermined criteria and generates an instruction based on the determination.

Abstract: Methods and systems for team cooperation with real-time recording of one or more moment-associating elements. For example, a method includes: delivering, in response to an instruction, an invitation to each member of one or more members associated with a workspace; granting, in response to acceptance of the invitation by one or more subscribers of the one or more members, subscription permission to the one or more subscribers; receiving the one or more moment-associating elements; transforming the one or more moment-associating elements into one or more pieces of moment-associating information; and transmitting at least one piece of the one or more pieces of moment-associating information to the one or more subscribers.

Abstract: Devices, systems, and methods for autonomously packing unfolded laundry articles into a box are described. The system includes a box configured to receive the laundry articles, a movable surface for receiving the box, and at least one actuator for imparting at least one of a shaking, twisting, vibrating, oscillating, shushling, and tilting motion to the box. A plunger is configured to compress the articles within the box and at least one sensor is configured to detect that the mass of articles is flattened and substantially level across a top surface. A controller in communication with drive motors, actuators, and at least one sensor is configured to determine whether the articles are flattened sufficiently for delivery to a packing station for receipt of folded laundry articles placed atop the plurality of unfolded laundry articles.

Abstract: Apparatuses, methods, program products, and systems are disclosed for machine learning based user targeting. An apparatus includes one or more memory devices in communication with one or more processing devices. An apparatus includes a subject module that receives subject data associated with a subject. Subject data includes data that describes a subject. An apparatus includes an affinity module that determines, using a machine learning model, an affinity level of each of one or more entities in relation to a subject. Subject data is provided as input to a machine learning model. An apparatus includes a campaign module that generates one or more promotional campaign strategies for a subject based at least in part on an affinity level of each of one or more entities in relation to a subject. One or more promotional campaign strategies target a subject to one or more entities.

Abstract: A method includes identifying a sequence of transformations to be performed on an input dataset via a user interface. The method also includes identifying a first context associated with the input dataset. The method further includes selecting a first one of multiple execution engines to be used to perform the sequence of transformations on the input dataset based on the first context. In addition, the method includes providing first code implementing the sequence of transformations to the first execution engine and executing the first code using the first execution engine to perform the sequence of transformations on the input dataset.

Abstract: The present disclosure relates to linking record objects between systems of record based on a comparison of object field-value pairs to a ground truth. A domain name may be identified from an electronic activity. It may be determined that the electronic activity does not match with any first record objects. A second record object including the domain name as a value may be identified. Object field-value pairs of the second record object may be identified. It may be determined that a third record object matches with the second record object. The electronic activity may be matched to the third second record object or a fourth record object. An association between the electronic activity and the third record object or the fourth record object may be stored.

Abstract: The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.