Abstract: A pipette dispenser vision system and method are disclosed. For example, a pipette dispenser vision system is provided for tracking pipettes with respect to dispensing liquid into target fluid wells, vessels, and/or reservoirs. The presently disclosed pipette dispenser vision system may include, for example, a computing device, a red/green/blue (RGB) imaging device, an infrared (IR) imaging device, an IR illumination source, and an IR sensor; all arranged with respect to, for example, a single-channel and/or a multi-channel pipette for dispensing liquid into a dispensing platform. Further, a method of using the presently disclosed pipette dispenser vision system is provided. For example, the method processes image data from the RGB imaging device and/or the IR imaging device to monitor/verify certain operations of the pipetting process and/or dispensing platform.

Abstract: An apparatus may comprise a component for communicating using a first RAT and another component for communicating using a second RAT. Overlapping communication using the two RATs may cause problems for proper reception at the apparatus. The apparatus may detect that transmission or reception of a first packet using a first RAT will overlap in time with reception of a second packet using a second RAT. The apparatus prioritizes the first packet or the second packet based at least on a relative priority of the first packet and the second packet.

Abstract: A system for operating an autonomous agent with a remote operator includes a remote subsystem, a local subsystem, and a communication subsystem. A method for operating an autonomous agent with a remote operator includes receiving and processing a set of inputs; presenting a set of outputs to a remote subsystem; receiving an input from a remote operator; and operating the autonomous agent. Additionally or alternatively, the method can include any or all of: detecting a failure and/or triggering a failure response; detecting a particular scenario associated with the autonomous agent; triggering a remote operator request; processing remote operator input; and/or any other processes.

Abstract: A process for purifying a polyether polyol including treating the polyether polyol with a mixture of: (i) a sulfonic acid catalyst, wherein the catalyst includes a substituted or unsubstituted alkyl group of at least 6 carbon atoms, and (ii) water to reduce residual levels of acetal linkages present in the polyether polyol; a purified polyether polyol prepared using the above treatment process; and a polyurethane product prepared by reacting the above purified polyether polyol and an isocyanate.

Abstract: Techniques are disclosed for post-processing mapping data in a movable object environment. A method for post-processing mapping data can include obtaining a plurality of scans, each scan comprising georeferenced mapping data and corresponding payload pose data obtained from a payload supported by an unmanned aerial vehicle (UAV), generating a plurality of local maps based on matching portions of the plurality of scans using the georeferenced mapping data, generating a pose graph based on identifying a plurality of correspondence points among the plurality of local maps, and optimizing the pose graph by minimizing an error distance between each pair of correspondence points to obtain optimized transforms for two scans among the plurality of the scans.

Abstract: Described examples include an integrated circuit having first and second transistors. The first transistor includes a plurality of trenches extending into a semiconductor substrate and a plurality of source regions, each source region located between a pair of adjacent trenches. A first source terminal is connected to the plurality of source regions. The second transistor includes a central source region between a pair of the trenches and a second source terminal connected to the central source region. The second source terminal is conductively isolated from the first source terminal.

Abstract: An apparatus for the improvement of electrocardiogram visualization is disclosed. The apparatus includes at least a processor and a memory communicatively connected thereto. The memory instructs the processor to receive a plurality of electrocardiogram signals, receive at least one transformation matrix, transform the plurality of electrocardiogram signals into a cardiac vector as a function of the at least one transformation matrix, generate a vectorcardiogram image as a function of the cardiac vector, wherein the vectorcardiogram image comprises a representation of the cardiac vector, wherein the vectorcardiogram includes a time-dependent depiction of the cardiac vector comprising a video generated as a function of a plurality of contiguous time slices, generate an assignment machine-learning model, and assign, as a function of the trained assignment machine-learning model, at least one diagnostic label to the patient as a function of the vectorcardiogram image.

Abstract: The described techniques are directed towards a host virtual machine configured to host a container. In some examples, a system can monitor communication between a container executing on a host virtual machine and the host virtual machine. The host virtual machine can include a first operating system. The container can include a first computer-executable instruction. The system can detect that the first computer-executable instruction is configured to run on a second operating system based on monitoring the communication between the container executing on the host virtual machine and the host virtual machine. The system can further detect a second computer-executable instruction that is configured to run on the first operating system, the second computer-executable instruction can be accessible to the host virtual machine. The system can further include mounting the second computer-executable instruction from the host virtual machine into the container.

Abstract: A system and method are configured to perform real-time financial sweeps management. The system includes a processor, a memory, and a set of modules including a sweeps processing module, a sweeps allocation module, a file processing module, and a transaction pre-processing module. The sweeps processing module includes a policy-implementing pipeline. The file processing module process files including client information, and loads the processed files into the sweeps processing module. The transaction pre-processing module processes received financial transactions, formats the financial transactions, and loads the formatted financial transactions into the sweeps processing module. The sweeps processing module applies the processed files and the formatted financial transactions to the policy-implementing pipeline to generate sweeps allocation data. The sweeps allocation module performs an allocation of financial values to implement a financial sweep.

Abstract: An apparatus and method for locating a position of an electrode on an organ model. The apparatus includes a memory communicatively connected to at least a processor, wherein the memory contains instructions configuring the at least a processor to receive an organ model configured to digitally represent an organ, receive a set of sensor data from at least a sensor including an ultrasound sensor, determine an electrode position within the organ model as a function of the set of sensor data using a position machine-learning module, wherein determining the electrode position includes determining a model position within the organ model as a function of the set of sensor data and determining the electrode position within the model position of the organ model as a function of the set of sensor data and add a visual marker onto the electrode position in the model position of the organ model.

Abstract: An apparatus and method for generating a three-dimensional (3D) model of cardiac anatomy including an overlay. The apparatus includes at least a processor configured receive a set of images of a cardiac anatomy pertaining to a subject, generate a set of shape parameters based on the set of images, wherein generating the set of shape parameters includes receiving cardiac geometry training data including a plurality of image sets as input correlated to a plurality of shape parameter sets as output, training a shape identification model using the cardiac geometry training data, and generating the set of shape parameters using the shape identification model, generate a 3D model of the cardiac anatomy based on the set of shape parameters, generate a map by determine a level of uncertainty at each location of a plurality of locations on the generated 3D model, and overlay the map onto the 3D model.

Abstract: A method controlling an ego vehicle in an environment includes determining, via a flow model of a parked vehicle recognition system, a flow between a first representation of the environment and a second representation of the environment. The method also includes determining, via a velocity model of the parked vehicle recognition system, a velocity of a vehicle in the environment based on the flow. The method further includes determining, via a parked vehicle classification model of the parked vehicle recognition system, the vehicle is parked based on the velocity of the vehicle and one or more of features associated with the vehicle and/or the environment. The method still further includes planning a trajectory of the ego vehicle based on determining the vehicle is parked.

Abstract: Systems and methods for automated control of human inhabited characters. In an example, control of human inhabited character may be achieved via a plurality of input devices, including, but not limited to, a microphone, a camera, or a hand-held controller, that can modify and trigger changes in the appearance and/or the behavioral response of a character during the live interactions with humans. In an example, a computing device may include a neural network that receives the input from the microphone and/or the camera and changes the appearance and/or the behavioral response of the character according to the input. Further, input from the hand-held controller may be used to adjust a mood of the character or, in other words, emphasize or deemphasize the changes to the appearance and/or the behavioral response of the character.

Abstract: The described techniques are directed towards a host virtual machine configured to host a container. In some examples, a device can monitor communication between a container executing on a host virtual machine and the host virtual machine. The host virtual machine can include a first operating system. The container can include a first computer-executable instruction. The device can detect that the first computer-executable instruction is configured to run on a second operating system based on monitoring the communication between the container executing on the host virtual machine and the host virtual machine. The device can further detect a second computer-executable instruction that is configured to run on the first operating system, the second computer-executable instruction can be accessible to the host virtual machine. The device can further include mounting the second computer-executable instruction from the host virtual machine into the container.

Abstract: Techniques are disclosed for improving the intelligence, efficiency, distribution, routing, prioritization, and/or otherwise optimization of web and/or telecommunication channels regarding website and/or contact center traffic, visitors, load, and/or resources. In one aspect, contact connection data and initial activity data of a contact is obtained that comprises information regarding the contact's activity on an unassisted channel of a service provider. Agent data of a plurality of agents at a contact center is obtained and, based on the initial activity data and the agent data, a determination is made whether to (a) direct the contact to an assisted channel of the service provider, or (b) maintain the contact on the unassisted channel of the service provider. The contact may be paired to an agent of the contact center upon receipt of a request from the contact to establish an agent connection with the contact center system.

Abstract: Polyether polyols are prepared by polymerizing one or more alkylene oxides in the presence of a Lewis acid polymerization catalyst. The reaction is performed by forming a starting reaction mixture containing a starter and catalyst. The alkylene oxide and more catalyst are then added simultaneously. continuously and separately under reaction conditions that include a temperature of at least 75° C.

Abstract: Systems, computer program products, and methods are described herein for implementing natural language processing to determine natural language from computer programming language in an electronic environment.

Abstract: A method for generating a dense light detection and ranging (LiDAR) representation by a vision system of a vehicle includes generating, at a depth estimation network, a depth estimate of an environment depicted in an image captured by an image capturing sensor integrated with the vehicle. The method also includes generating, via a sparse depth network, one or more sparse depth estimates of the environment, each sparse depth estimate associated with a respective sparse representation of one or more sparse representations. The method further includes generating the dense LiDAR representation based on a dense depth estimate that is generated based on the depth estimate and the one or more sparse depth estimates. The method still further includes controlling an action of the vehicle based on the dense LiDAR representation.

Abstract: The technology is generally directed to using a machine learning model to generate a visualization of an intended wearer wearing one or more source garments by preserving the appearance and shape of the intended wearer and garments, even when the pose and/or environmental details are adjusted based on natural language inputs. The model may include a plurality of layers, each conditioned to warp a different type of garment, adjust the pose of the intended wearer, adjust the environmental details in the output image, etc. The plurality of layers may allow for the garments to be warped simultaneously, as compared to sequentially. When executing the model, the model may receive input images and/or natural language inputs corresponding to the intended wearer, garments, pose, environmental details, or the like. The output of the model may be a realistic visualization of the intended wearer wearing the input garments in an intended pose.

Abstract: A method of improving usability and transparency of machine-learning aspects of applications providing various types of services is disclosed. Based on a request submitted through an administrative user interface, a data readiness check is performed on underlying data associated with the application. Based on a successful completion of the data readiness check, a configuration file is retrieved from an application server. The configuration file specifies a plurality of keys for generating a machine-learned model for the application. The machine-learned model is trained based on the plurality of keys specified in the configuration file. The machine-learned model is selected from a plurality of machine-learned models based on dry runs of the each of the plurality of models. The machine-learned model is activated with respect to the application. Scores are identified from the underlying data items based on the selected machine-learned model.