Abstract: A surface mount device having features on contacts to prevent the surface mount device from tombstoning. The feature may be channel defined by the contact that helps balance a torque/force applied on each side of the surface mount device during a reflow soldering process. The feature may also be a solder mask that helps balance a torque/force applied on each side of the surface mount device during a reflow soldering process.

Abstract: A surface mount device having features on contacts to prevent the surface mount device from tombstoning. The feature may be channel defined by the contact that helps balance a torque/force applied on each side of the surface mount device during a reflow soldering process. The feature may also be a solder mask that helps balance a torque/force applied on each side of the surface mount device during a reflow soldering process.

Abstract: A semiconductor device includes a first semiconductor die having a top planar surface and a second semiconductor die having a bottom planar surface and a top planar surface. A protective layer including a bottom planar surface and a top planar surface is positioned between the first semiconductor die and the second semiconductor die. An adhesive layer having a top planar surface and a bottom planar surface is between the protective layer and the second semiconductor die. A periphery of the top planar surface of the first semiconductor die is covered by a periphery of the bottom planar surface of the protective layer after cutting a portion of the protective layer that extended past the periphery of the surface of the first semiconductor die. The protective layer reduces the occurrence of peeling of the second semiconductor die and first semiconductor die coupled to the protective layer.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. One of the methods includes generating, by a speech recognition system, a matrix from a predetermined quantity of vectors that each represent input for a layer of a neural network, generating a plurality of sub-matrices from the matrix, using, for each of the sub-matrices, the respective sub-matrix as input to a node in the layer of the neural network to determine whether an utterance encoded in an audio signal comprises a keyword for which the neural network is trained.

Abstract: A one-piece clamp assembly for a window covering is disclosed. The window covering consists of a left side portion and right side portion connected to a moveable hinge portion. The left side portion comprises a plurality of rounded extrusions and at least one vertical rounded extrusion that securely mates into a hole or slot on the right side portion. The left side portion further comprises extruded walls that mate with single and double spikes found on the right side portion. The extruded portions and mating spikes provide for a secure connection of the clamp assembly to the window covering. A connecting slot is placed on either the left or ride side portion, enabling the clamp assembly to fasten to a head rail fastener of a window covering.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for implementing an interactive autonomous vehicle agent. One of the methods includes receiving a request to generate an experience tuple for a vehicle in a particular driving context. A predicted environment observation representing a predicted environment of the autonomous vehicle after the candidate action is taken by the autonomous vehicle in an initial environment is generated, including providing an initial environment observation and the candidate action as input to a vehicle behavior model neural network trained to generate predicted environment observations. An immediate quality value is generated from a context-specific quality model that generates immediate quality values that are specific to the particular driving context.

Abstract: A method for determining a location of a target positioned behind a tow vehicle is provided. The method includes receiving images from a camera positioned on a back portion of the tow vehicle. The images include the target. The method includes applying one or more filter banks to the images. The method also includes determining a region of interest within each image based on the applied filter banks. The region of interest includes the target. The method also includes identifying the target within the region of interest and determining a target location of the target including a location in a real-world coordinate system. The method also includes transmitting instructions to a drive system supported by the vehicle. The instructions cause the tow vehicle to autonomously maneuver towards the location in the real-world coordinate system.

Abstract: Immune cells engineered to reduce or eliminate expression and/or the function of a NR4A, TOX, NR4A and a TOX or NR4A and a TOX with increasing expression of IL-21 in said cells are disclosed. Also cells engineered to inhibit expression and/or function of NFAT/AP-1 pathway are provided. Disclosed cells are T and NK cells. It can be expanded to create homogeneous or heterogenous cell populations and/or combined with pharmaceutically acceptable carriers. It can be CAR cells. Methods to induce an immune response and treat conditions requiring selective immunotherapy, comprising contacting a target cell with the cells or compositions as described herein. The contacting can be performed in vitro or in vivo, thereby providing immunotherapy to a subject. Additionally presented herein are methods of producing such engineered cells. Kits containing the materials for making and using the cells are also provided.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. One of the methods includes generating, by a speech recognition system, a matrix from a predetermined quantity of vectors that each represent input for a layer of a neural network, generating a plurality of sub-matrices from the matrix, using, for each of the sub-matrices, the respective sub-matrix as input to a node in the layer of the neural network to determine whether an utterance encoded in an audio signal comprises a keyword for which the neural network is trained.

Abstract: A method for determining a location of a target positioned behind a tow vehicle is provided. The method includes receiving images from a camera positioned on a back portion of the tow vehicle. The images include the target. The method includes applying one or more filter banks to the images. The method also includes determining a region of interest within each image based on the applied filter banks. The region of interest includes the target. The method also includes identifying the target within the region of interest and determining a target location of the target including a location in a real-world coordinate system. The method also includes transmitting instructions to a drive system supported by the vehicle. The instructions cause the tow vehicle to autonomously maneuver towards the location in the real-world coordinate system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. One of the methods includes generating, by a speech recognition system, a matrix from a predetermined quantity of vectors that each represent input for a layer of a neural network, generating a plurality of sub-matrices from the matrix, using, for each of the sub-matrices, the respective sub-matrix as input to a node in the layer of the neural network to determine whether an utterance encoded in an audio signal comprises a keyword for which the neural network is trained.

Abstract: A method of avoiding a collision while operating a vehicle in reverse comprises detecting an object proximate to a vehicle with at least one sensor including detecting objects located along side of a vehicle and determining a predicted vehicle path, including a tracking path for front wheels of the vehicle. A probability is determined with a controller located within the vehicle of collision of one of the front corner and a side of the vehicle with the object while the vehicle is travelling in reverse and at least one collision avoidance response is determined with the controller based on the probability of collision.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for implementing an interactive autonomous vehicle agent. One of the methods includes receiving a request to generate an experience tuple for a vehicle in a particular driving context. A predicted environment observation representing a predicted environment of the autonomous vehicle after the candidate action is taken by the autonomous vehicle in an initial environment is generated, including providing an initial environment observation and the candidate action as input to a vehicle behavior model neural network trained to generate predicted environment observations. An immediate quality value is generated from a context-specific quality model that generates immediate quality values that are specific to the particular driving context.

Abstract: A hitch assist system for a vehicle comprises a camera mounted to view a reverse path of a vehicle, an input device connected for the hitch assist system, and a controller. The controller includes instructions for detecting a trailer proximate to a vehicle with the camera, determining a vehicle hitch ball location, determining a trailer hitch location, and calculating a vehicle path from an initial position to a final position. The vehicle hitch ball is laterally aligned with the trailer hitch in the final position. The controller also includes instructions for calculating the steering and braking maneuvers necessary to move the vehicle along the path to the final position and sending instructions to a vehicle steering system and a vehicle brake system to perform the calculated maneuvers.

Abstract: Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes recognizing an identifier associated with an entity and accessing a data structure comprising information associated with a plurality of interactions. The method also comprises identifying one or more interactions of the plurality of interactions based on the recognized identifier. The method further comprises processing the information of the identified interactions to analyze a performance of the entity and providing the processed information to display the performance of the entity on a user interface.

Abstract: An oven includes a cooking enclosure including one or more cooking heater elements, a steam source in the cooking enclosure, and a steam source heater for the steam source. A sensor is responsive to the temperature of the steam source. A fluid reservoir is exterior to the cooking enclosure and a conduit extends from the fluid reservoir to or proximate the steam source. A controller energizes the steam source heater if the temperature of the steam source is below a predetermined threshold and de-energizes the steam source heater if the temperature of the steam source is above the predetermined threshold.

Abstract: Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes recognizing an identifier associated with an entity and accessing a data structure comprising information associated with a plurality of interactions. The method also comprises identifying one or more interactions of the plurality of interactions based on the recognized identifier. The method further comprises processing the information of the identified interactions to analyze a performance of the entity and providing the processed information to display the performance of the entity on a user interface.

Abstract: A hitch assist system for a vehicle comprises a camera mounted to view a reverse path of a vehicle, an input device connected for the hitch assist system, and a controller. The controller includes instructions for detecting a trailer proximate to a vehicle with the camera, determining a vehicle hitch ball location, determining a trailer hitch location, and calculating a vehicle path from an initial position to a final position. The vehicle hitch ball is laterally aligned with the trailer hitch in the final position. The controller also includes instructions for calculating the steering and braking maneuvers necessary to move the vehicle along the path to the final position and sending instructions to a vehicle steering system and a vehicle brake system to perform the calculated maneuvers.

Abstract: A method of avoiding a collision while operating a vehicle in reverse comprises detecting an object proximate to a vehicle with at least one sensor including detecting objects located along side of a vehicle and determining a predicted vehicle path, including a tracking path for front wheels of the vehicle. A probability is determined with a controller located within the vehicle of collision of one of the front corner and a side of the vehicle with the object while the vehicle is travelling in reverse and at least one collision avoidance response is determined with the controller based on the probability of collision.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing speaker verification. In one aspect, a method includes accessing a neural network having an input layer that provides inputs to a first hidden layer whose nodes are respectively connected to only a proper subset of the inputs from the input layer. Speech data that corresponds to a particular utterance may be provided as input to the input layer of the neural network. A representation of activations that occur in response to the speech data at a particular layer of the neural network that was configured as a hidden layer during training of the neural network may be generated. A determination of whether the particular utterance was likely spoken by a particular speaker may be made based at least on the generated representation. An indication of whether the particular utterance was likely spoken by the particular speaker may be provided.