Abstract: An iterative multi-image camera orientation estimation comprising: capturing an image of a scene before the camera; detecting line segments in the scene; computing a maximum likelihood (ML) camera orientation by maximizing a likelihood objective by rotating the camera's X-Y-Z coordinate system such that it is being optimally aligned with the line segments in at least two of the frontal, the lateral, and the vertical orthogonal directions; estimating a maximum a-posteriori (MAP) camera orientation that maximizes an a-posteriori objective such that the MAP camera orientation is an optimal value in between the priori camera orientation and the ML camera orientation, and is closer to the one with smaller uncertainty; iterating the multi-image camera orientation estimation with the priori camera orientation and its corresponding priori camera orientation uncertainty set to the computed MAP camera orientation and its corresponding uncertainty respectively until the uncertainty is lower than a threshold.

Abstract: Various methods and systems are provided for authoring and presenting 3D presentations. Generally, an augmented or virtual reality device for each author, presenter and audience member includes 3D presentation software. During authoring mode, one or more authors can use 3D and/or 2D interfaces to generate a 3D presentation that choreographs behaviors of 3D assets into scenes and beats. During presentation mode, the 3D presentation is loaded in each user device, and 3D images of the 3D assets and corresponding asset behaviors are rendered among the user devices in a coordinated manner. As such, one or more presenters can navigate the scenes and beats of the 3D presentation to deliver the 3D presentation to one or more audience members wearing augmented reality headsets.

Abstract: Artificial intelligence (AI)-based guidance for an ultrasound device to improve capture of echo image views comprises receiving a plurality of the echo images captured by a probe of the ultrasound device, the ultrasound device including a display and a user interface (UI) that displays the echo images to a user. One or more neural networks process the echo images to continuously attempt to automatically classify the echo images by view type and generates corresponding classification confidence scores. The view type of the echo images are simultaneously displayed in the UI along with the echo images. Feedback indications are displayed in the UI of the ultrasound device to the user, where the feedback indications include which directions to move the probe of the ultrasound device so the probe can be placed in a correct position to capture and successfully classify the echo images.

Abstract: Techniques for outbound/inbound lateral traffic punting based upon process risk are disclosed. In some embodiments, a system/process/computer program product for outbound/inbound lateral traffic punting based upon process risk includes receiving, at a network device on an enterprise network, process identification (ID) information from an endpoint (EP) agent executed on an EP device, in which the process ID information identifies a process that is associated with an outbound or inbound network session on the EP device on the enterprise network, and the EP agent selected the network session for punting to the network device for inspection; monitoring network communications associated with the network session at the network device to identify an application identification (APP ID) for the network session; and performing an action based on a security policy using the process ID information and the APP ID.

Abstract: This disclosure provides for devices, methods, and systems for generating a plurality of droplets within a collecting container at an extremely high rate (e.g., of at least 1 million droplets per minute, etc.), each of the plurality of droplets comprising an aqueous mixture for a digital analysis, wherein upon generation, the plurality of droplets is stabilized in position within a region of the collecting container. The inventions enable partitioning of samples for digital analyses at unprecedented rates, where readout of signals from targets within such partitions can still be achieved in accordance with various assays.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for precipitation nowcasting using generative neural networks.

Abstract: A quantum processing system and method of operating the same are disclosed. The system includes a first qubit comprising a first unpaired electron bound to a first pair of donor clusters embedded in a semiconductor substrate at a distance from the semiconductor surface. each donor cluster in the first pair of donor clusters including at least one donor atom. The system further includes a second qubit comprising a second unpaired electron bound to a second pair of donor clusters embedded in the semiconductor substrate at a distance from the semiconductor surface. each donor cluster in the second pair of donor clusters including at least one donor atom. In addition, a microwave resonator is located between the first qubit and the second qubit, wherein a first end of the microwave resonator is coupled to the first qubit and a second end of the microwave resonator is coupled to the second qubit. A photon of the microwave resonator couples the first qubit and the second qubit.

Abstract: Provided herein are SOS1 protein degraders, for example, a compound of Formula (I), and pharmaceutical compositions thereof. Also provided herein are methods of their use for treating, preventing, or ameliorating one or more symptoms of an SOS1-mediated disorder, disease, or condition.

Abstract: Implementations described herein relate to memory devices including a single-level cell (SLC) block storing data for migration to multiple multi-level cell (MLC) blocks. In some implementations, a memory device includes multiple MLC blocks that include MLCs, with each MLC being capable of storing at least four bits of data, and multiple SLC blocks that can store data prior to the data being written to one of the MLC blocks. Each SLC block may be capable of storing different data sets that are destined for storage in different MLC blocks. The memory device may include a mapping component that can store a mapping table that includes multiple entries, in which an entry indicates a mapping between a memory location in the SLC blocks and a corresponding MLC block for which data stored in the memory location is destined. Numerous other implementations are described.

Abstract: Aspects of this disclosure relate to an elastic wave device. The elastic wave device includes a sub-wavelength thick piezoelectric layer, an interdigital transducer electrode on the piezoelectric layer, and a high velocity layer configured to inhibit an elastic wave from leaking from the piezoelectric layer at anti-resonance.

Abstract: A method of manufacturing a diode structure includes forming a first stack on a silicon layer on a substrate. A first sidewall spacer extending along and covering a sidewall of the first stack is formed. The silicon layer is selectively etched to a first predetermined depth, thereby forming a second stack. The remaining silicon layer includes a silicon base. A second sidewall spacer extending along and covering a sidewall of the second stack is formed. The silicon base is selectively etched to form a third stack on the substrate. With the second sidewall spacer as a mask, lateral plasma ion implantation is performed. Defects at the interface between two adjacent semiconductor layers can be reduced by the method.

Abstract: A tire sealant composition, comprising: latex emulsion, surfactant, anti-freezing agent, dendrimer, and water, and optional component(s) selected from the group consisting of wetting agent and porous particles. The tire sealant compositions are excellent in high temperature stability and/or long term stability.

Abstract: The invention relates to a computer-implemented method for providing a standardized position for anatomic structural data (ASD) of a patient scan, in particular as a basis for individually fitting an orthosis or prosthesis to a first patient. The method comprises the steps of receiving anatomic structural data (ASD) of a body part of the first patient, receiving and/or selecting template structural data (TSD) corresponding to the body part and adapting the orientation and/or the pose of the anatomic structural data (ASD) using the armature of the template structural data (TSD). Further, the invention refers to a computer-implemented method for providing standardized measurement on anatomic structural data (ASD) of a patient scan, a data processing system and a computer-readable medium.

Abstract: A 3D scaffold of a biocompatible polymer and colonized with biological cells is provided. The biological cells can be cultured to form a 3D cell culture construct that closely approximates a physiological architecture. A method for producing the 3D scaffold colonized with biological cells is also provided.

Abstract: The present application discloses a tire maintenance method and a tire maintenance kit. The tire maintenance method comprises: establishing a communication connection between a terminal device and a maintenance device connected to a tire; displaying an interactive interface suitable for a tire maintenance mode on the terminal device; controlling the maintenance device to perform a maintenance operation designated by the tire maintenance mode on the tire based on a user input; and generating at least one of operation results of the tire on the terminal device. The present application can achieve intelligent operation.

Abstract: Using a first dataset of labeled data, a model is trained by adjusting a feature extractor parameter, a classifier parameter, and a discriminator parameter of the model. Using the discriminator parameter and a parametric function of the feature extractor parameter, a plurality of samples of a dataset of unlabeled data is scored. A subset of the scored plurality of samples is selected for labeling. Responsive to receiving a label of each of the selected subset of the scored plurality of samples, the first dataset of labeled data is augmented with the selected subset of the scored plurality of samples and the label of each of the selected subset of the scored plurality of samples. Using the augmented dataset of labeled data, the model is retrained. The retraining comprises further adjusting the feature extractor parameter, the classifier parameter, and the discriminator parameter of the model.

Abstract: A containerized robotic system is disclosed. The containerized robotic system includes a base having a first attachment area configured to securely mount a robot and a second attachment area configured to securely mount a compressor, the base further including a set of one or more channels to provide an electrical connection to supply power to the robot and the compressor, respectively, and to provide compressed air from the compressor to the robot, a detachable superstructure configured to be removably connected to the base to define an enclosed space of sufficient size to accommodate at least the robot and the compressor, and a power distribution unit secured to the base and coupled to receive electrical power as input and to provide electrical power to the robot and the compressor via the set of one or more channels.

Abstract: The present disclosure is for a system and a method for evaluating cognitive performance capabilities as a function of emotional intelligence. The present invention provides a way to more accurately and objectively assess an individual's true emotional intelligence by adjusting an individual's self-reported and often biased personality assessment by accounting for lifestyle factors and cognitive task performance factors indicative of an individual's true emotional intelligence. The adjusted emotional intelligence aids in better evaluating an individual's or team's productivity capacity allowing for better planning and allocation of tasks to improve overall productivity and may serve to reduce burnout.

Abstract: Techniques are disclosed to use robotic system simulation to control a robotic system. In various embodiments, a communication indicating an action to be performed by a robotic element is received from a robotic control system. Performance of the action by the robotic element is simulated. A state tracking data is updated to reflect a virtual change to one or more state variables as a result of simulated performance of the action. Successful completion of the action by the robotic element is reported to the robotic control system.