Abstract: Techniques are described for implementing a container environment where each pod within the container environment is provided with a unique IP address and a virtual communication device such as an IPvlan device. Communications from source pods are directly routed to destination pods within the container environment by one or more virtualized network interface cards (VNICs) utilizing the unique IP addresses of the destination pods, without the need for bridging and encapsulation. This reduces a size of data being transmitted and also eliminates a compute cost necessary to perform encapsulation of data during transmission.

Abstract: In various examples, live perception from sensors of a vehicle may be leveraged to detect and classify intersection contention areas in an environment of a vehicle in real-time or near real-time. For example, a deep neural network (DNN) may be trained to compute outputs—such as signed distance functions—that may correspond to locations of boundaries delineating intersection contention areas. The signed distance functions may be decoded and/or post-processed to determine instance segmentation masks representing locations and classifications of intersection areas or regions. The locations of the intersections areas or regions may be generated in image-space and converted to world-space coordinates to aid an autonomous or semi-autonomous vehicle in navigating intersections according to rules of the road, traffic priority considerations, and/or the like.

Abstract: The present invention relates to a consumer product comprising a laminate packaging comprising an outer oriented multilayer film comprising a polyolefin-based polymer; an inner multilayer film comprising a polyolefin-based polymer; and a composition comprising 0.2% to 1.2% by weight of a perfume; wherein the outer and the inner layers are made of the same polyolefin-based polymer, which is ethylene based polymer or propylene based polymer; and wherein the composition is packaged inside the laminate packaging.

Abstract: Techniques and systems are provided for training a machine learning model using different datasets to perform one or more tasks. The machine learning model can include a first sub-module configured to perform a first task and a second sub-module configured to perform a second task. The first sub-module can be selected for training using a first training dataset based on a format of the first training dataset. The first sub-module can then be trained using the first training dataset to perform the first task. The second sub-module can be selected for training using a second training dataset based on a format of the second training dataset. The second sub-module can then be trained using the second training dataset to perform the second task.

Abstract: This specification relates to an apparatus which stores a machine-learned model including a first neural network block including multiple convolutional neural network layers, a second neural network block including at least one dilated convolutional neural network layer, and a linear transformation block. The apparatus is configured to receive input data representing in-phase and quadrature signals of an input signal that is to be amplified by a power amplifier, to process the received input data using the first neural network block of the machine learned model to generate a first neural network block output, to process the received input data using the second neural network block of the machine learned model to generate a second neural network block output, and to combine, using the linear transformation block, the first neural network block output and the second neural network block output to generate a pre-distorted signal for amplification by the power amplifier.

Abstract: One embodiment of a hydraulic system for a machine has a first hydraulic circuit including a first pump coupled to a first hydraulic actuator configured to move a first implement of the machine. A second hydraulic circuit includes a second pump coupled to a second hydraulic actuator configured to move a second implement. An electric motor mechanically couples to the first pump and to the second pump. An operator interface receives input from an operator requesting movement of the first and second implements. A controller communicatively coupled to the electric motor and to the operator interface determines, based on the requested movement of the first and second implements respectively, first and second flow allocations respectively for the first and second pumps and determines respective target displacements for the first and second pumps.

Abstract: Embodiments of the present disclosure provide improved methods and apparatus for coupling a probe to an instrument device manipulator (e.g., robotic arm). In some embodiments, a probe, which may be carried by a handpiece, is configured to couple to the end of a device manipulator of a robotic arm. A transmission can be provided that is configured to couple to the probe and also couple to the instrument device manipulator. The transmission can be configured to receive motion input from the instrument device manipulator and transfer the motion input into motion of the probe. The transmission can provide improved movement of the probe. By decreasing the number of components on the handpiece and probe, the handpiece and probe can be provided as a sterile, single use consumable device and the transmission can be reused.

Abstract: In various examples, live perception from sensors of a vehicle may be leveraged to detect and classify intersections in an environment of a vehicle in real-time or near real-time. For example, a deep neural network (DNN) may be trained to compute various outputs—such as bounding box coordinates for intersections, intersection coverage maps corresponding to the bounding boxes, intersection attributes, distances to intersections, and/or distance coverage maps associated with the intersections. The outputs may be decoded and/or post-processed to determine final locations of, distances to, and/or attributes of the detected intersections.

Abstract: A system for generating an advanced surround view for a vehicle includes a plurality of cameras to generate image data. Sensors are configured to determine kinematic data of the vehicle. Kinematic data are also obtained by a visual odometry module and/or a deep-vision mechanism. A processor is configured to process image data captured by the plurality of cameras to generate a 360-degree surround view layer representative of a surrounding area. The processor is further configured to construct an improved bicycle kinematic model for processing kinematic data to generate an under-chassis layer representative of an area under the vehicle. The processor is further configured to generate a 3D vehicle model layer and overlay objects layer. Display screens display a GUI of combined scene of the 360-degree surround view layer, under-chassis layer, 3D vehicle model layer and overlay objects layer as would be viewed from a virtual camera viewpoint.

Abstract: Techniques are described for transmitting metric data between tenancies. Metric data is gathered for resources within a customer tenancy of a multi-tenant environment. This metric data is sent to a service tenancy of the multi-tenant environment, where the service tenancy is separate from the customer tenancy. The metric data is validated and preprocessed within the service tenancy to make sure that all required fields (such as key-value pairs) are located within the metric data. The preprocessed metric data is then sent to a telemetry service for analysis.

Abstract: A drill bit has a plurality of cutters secured to the bit body, including a gauge cutter defining a gauge diameter of the drill bit. A reciprocating gauge assembly on the bit comprises a cavity defined in the bit body, a piston reciprocably disposed in the cavity, a wear element on an outwardly facing end of the piston, a piston retainer for moveably retaining the piston in the cavity, and a spring biasing the piston outwardly to a neutral position of the wear element with respect to the gauge diameter. The wear element and piston may be urged inwardly in response to an applied load at the drill bit gauge pad, increasing the lateral depth of cut and thereby controlling the aggressiveness of the bit in response to the load.

Abstract: In various examples, live perception from sensors of a vehicle may be leveraged to detect and classify intersection contention areas in an environment of a vehicle in real-time or near real-time. For example, a deep neural network (DNN) may be trained to compute outputs—such as signed distance functions—that may correspond to locations of boundaries delineating intersection contention areas. The signed distance functions may be decoded and/or post-processed to determine instance segmentation masks representing locations and classifications of intersection areas or regions. The locations of the intersections areas or regions may be generated in image-space and converted to world-space coordinates to aid an autonomous or semi-autonomous vehicle in navigating intersections according to rules of the road, traffic priority considerations, and/or the like.

Abstract: Systems and methods relate to predicting disease progression by processing digital pathology images using neural networks. A digital pathology image that depicts a specimen stained with one or more stains is accessed. The specimen may have been collected from a subject. A set of patches are defined for the digital pathology image. Each patch of the set of patches depicts a portion of the digital pathology image. For each patch of the set of patches and using an attention-score neural network, an attention score is generated. The attention-score neural network may have been trained using a loss function that penalized attention-score variability across patches in training digital pathology images labeled to indicate no or low subsequent disease progression. Using a result-prediction neural network and the attention scores, a result is generated that represents a prediction of whether or an extent to which a disease of the subject will progress.

Abstract: A drive system for raising and lowering a window covering includes a motor, a driven wheel configured to engage a continuous cord loop, a controller for the motor, a sensor, and a housing. The continuous cord loop includes an endless loop of flexible material and one or more sensor targets disposed on the endless loop of flexible material. The housing supports a guide rail adjacent the driven wheel. The sensor is mounted to the guide rail and is configured to generate a signal indicating presence of each sensor target when the target is located in proximity to or in contact with the sensor. The controller is calibrated to store an initial position of each sensor target along the continuous cord loop, and is configured to receive the signal indicating presence of the sensor target and to identify a drift from the initial position during continuing operation of the drive system.

Abstract: A cache memory includes cache lines to store information. The stored information is associated with physical addresses that include first, second, and third distinct portions. The cache lines are indexed by the second portions of respective physical addresses associated with the stored information. The cache memory also includes one or more tables, each of which includes respective table entries that are indexed by the first portions of the respective physical addresses. The respective table entries in each of the one or more tables are to store indications of the second portions of respective physical addresses associated with the stored information.

Abstract: A binary photonics lattice that includes a waveguide array having a plurality of single mode waveguides disposed in a substrate, the plurality of single mode waveguides including one or more first waveguides having a first V-number V1 and one or more second waveguides having a second V-number V2. The first V-number V1 is smaller than the second V-number V2. The one or more first and second waveguides are arranged in a linear distribution having first and second edge waveguide regions and a binary waveguide region positioned between the first and second edge waveguide regions. The binary waveguide region is a symmetrical binary representation of a decimal number of two or greater. Further, the binary waveguide region includes at least one first waveguide representing a digit 0 of the symmetrical binary representation and/or at least one second waveguide representing a digit 1 of the symmetrical binary representation.

Abstract: A method for fabricating light emitting diode (LED) dice includes the steps of: providing a substrate, and forming a plurality of die sized semiconductor structures on the substrate. The method also includes the steps of providing a receiving plate having an elastomeric polymer layer, placing the substrate and the receiving plate in physical contact with an adhesive force applied by the elastomeric polymer layer, and performing a laser lift-off (LLO) process by directing a uniform laser beam through the substrate to the semiconductor layer at an interface with the substrate to lift off the semiconductor structures onto the elastomeric polymer layer. During the laser lift-off (LLO) process the elastomeric polymer layer functions as a shock absorber to reduce momentum transfer, and as an adhesive surface to hold the semiconductor structures in place on the receiving plate.

Abstract: A method for fabricating light emitting diode (LED) dice includes the steps of: providing a substrate, and forming a plurality of die sized semiconductor structures on the substrate. The method also includes the steps of providing a receiving plate having an elastomeric polymer layer, placing the substrate and the receiving plate in physical contact with an adhesive force applied by the elastomeric polymer layer, and performing a laser lift-off (LLO) process by directing a uniform laser beam through the substrate to the semiconductor layer at an interface with the substrate to lift off the semiconductor structures onto the elastomeric polymer layer. During the laser lift-off (LLO) process the elastomeric polymer layer functions as a shock absorber to reduce momentum transfer, and as an adhesive surface to hold the semiconductor structures in place on the receiving plate.

Abstract: A method for object detection includes: extracting a plurality of identification features from a plurality of reference images that are related to a target object; selecting a plurality of selected identification features respectively from the identification features so as to obtain a first feature dataset, and storing the first feature dataset, a quantity of selected identification features being smaller than a quantity of the identification features; in response to receipt of a to-be-detected image, performing a feature extraction operation on the to-be-detected image to obtain a second feature dataset; performing a similarity determination operation with respect to the to-be-detected image based on the first feature dataset and the second feature dataset, and calculating a quantity of instances of the target object in the to-be-detected image.

Abstract: An electronic device is provided. The electronic device includes a first housing, a second housing coupled to the first housing, a plurality of first adhesive portions arranged between the first housing and the second housing, and spaced apart from each other along a first perimeter portion of the first housing, and a plurality of second adhesive portions arranged between the plurality of first adhesive portions and arranged along a second perimeter portion of the first housing, wherein the first adhesive portions include an adhesive support portion extending in one direction and a first adhesive material arranged on one side or both sides of the adhesive support portion, and the second adhesive portions include a second adhesive material.