Abstract: The present disclosure generally relates to a flip chip assembly having a bump that reduces stress levels in a low-k dielectric layer in the flip chip. Rather than having a single, large area plateau that interfaces with a large corresponding opening of an insulating layer in the flip chip, the bump includes a plurality of much smaller pillars that interface with a corresponding plurality of openings in the insulating layer. In so doing, the low-k layer within the flip chip experiences much less stress and hence, fewer failures.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using simulated local demonstration data for robotic demonstration learning. One of the methods includes receiving perceptual data of a workcell of a robot to be configured to execute a task according to a skill template, wherein the skill template specifies one or more subtasks required to perform the skill, wherein at least one of the subtasks is a demonstration subtask that relies on learning visual characteristics of the workcell. A virtual model is generated of a portion of the workcell. A training system generates simulated local demonstration data from the virtual model of the portion of the workcell and tunes a base control policy for the demonstration subtask using the simulated local demonstration data generated from the virtual model of the portion of the workcell.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for distributing skill templates for robotic demonstration learning. One of the methods includes receiving from the user device by a skill template distribution system, a selection of an available skill template. The skill template distribution system provides a skill template, wherein the skill template comprises information representing a state machine of one or more tasks, and wherein the skill template specifies which of the one or more tasks are demonstration subtasks requiring local demonstration data. The skill template distribution system trains a machine learning model for the demonstration subtask using a local demonstration data to generate learned parameter values.

Abstract: Disclosed herein is an electronic device that includes a pedestal that extends from a mounting surface of a base of the electronic device. The electronic device also includes a thermal interface material that is interposed between an interface surface of the pedestal and a data processing component, is in direct contact with the data processing component, and is in direct contact with a first portion and a second portion of the interface surface. The first portion of the interface surface of the pedestal has a first height, relative to the mounting surface of the base, and the second portion of the interface surface of the pedestal has a second height, relative to the mounting surface of the base and different than the first height.

Abstract: A protective enclosure for a PCB assembly, e.g., a solid-state-drive assembly. In an example embodiment, the enclosure comprises a flexible, stamped-metal heat spreader connected, by way of cured-liquid TIM parts, to at least some of the packaged integrated circuits on one side of the PCB assembly. In some embodiments, additional cured-liquid TIM parts may be connected between the body of the protective enclosure and packaged integrated circuits on the other side of the PCB assembly and/or the assembly’s PCB. The PCB assembly, heat spreader, and various TIM parts are arranged in a manner that helps to significantly lower the risk of solder-joint failure under thermal cycling.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a general fixture for robotic motion planning. One of the methods includes receiving a request to generate a motion plan for manipulating a component that is part of a robotic assembly process in an operating environment, the operating environment including a fixture having a base and a mesh surface, the mesh surface having openings that are configured to constrain the orientation of the component that is part of the robotic assembly process; in response, generating a motion plan that when executed causes a robot to place an instance of the component on the mesh surface.

Abstract: A data storage device includes an enclosure and a Printed Circuit Board Assembly (PCBA) extending in a basal plane, and a plurality of semiconductor memory packages electromechanically bonded to the PCBA and coupled to the enclosure with thermal interface material. The data storage device further includes a first fitting coupled to a first end of the PCBA and the enclosure, restricting movement of the PCBA in the basal plane with respect to the enclosure and restricting movement of the PCBA out of the basal plane. The data storage device further includes a second fitting coupled to a second end of the PCBA, allowing movement of the PCBA in the basal plane with respect to the enclosure and restricting movement of the PCBA out of the basal plane.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a demonstration device for robotic demonstration learning. One of the methods includes generating, by a demonstration device for a robot, a representation of a sequence of states input by a user of the demonstration device. The representation is provided by the demonstration device to a robot execution system. The representation of the sequence of actions is translated into a plurality of robot commands corresponding to the representation of the sequence of states input by the user on the demonstration device. The plurality of robot commands corresponding to the sequence of actions input by the user on the demonstration device are executed. Demonstration data is generated from one or more sensor streams of the robot while executing the plurality of robot commands corresponding to the sequence of actions input by the user on the demonstration device.

Abstract: An electronic device may obtain a query from a user input; obtain a sequence of frames of one or more input videos; select frames from the sequence of frames of the one or more input videos, via a sampler neural network configured to extract features from the sequence of frames that are input to the sampler neural network, determine temporal dependencies between the extracted features, and determine an action of selecting or skipping for each of the sequence of frames; and identify a video that matches the query via a multimodal neural network configured to receive the selected frames and the query, and output the video that matches the query, among the one or more input videos, wherein the sampler neural network and the multimodal neural network are jointly trained based on an aggregated loss that combines an accuracy loss that represents an accuracy of determining the video that matches the query, and an efficiency loss that reflects a proportion of frames being passed to the multimodal neural network.

Abstract: Apparatuses, systems, and methods for providing beams for controlling charges on a sample surface of charged particle beam system. In some embodiments, a module comprising a laser source configured to emit a beam. The beam may illuminate an area adjacent to a pixel on a wafer to indirectly heat the pixel to mitigate a cause of a direct photon-induced effect at the pixel. An electron beam tool configured to detect a defect in the pixel, wherein the defect is induced by the indirect heating of the pixel.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for distributing skill templates for robotic demonstration learning. One of the methods includes receiving, from the user device by a skill template distribution system, a selection of an available skill template. The skill template distribution system provides a skill template, wherein the skill template comprises information representing a state machine of one or more tasks, and wherein the skill template specifies which of the one or more tasks are demonstration subtasks requiring local demonstration data. The skill template distribution system trains a machine learning model for the demonstration subtask using a local demonstration data to generate learned parameter values.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for distributed robotic demonstration learning. One of the methods includes receiving a skill template to be trained to cause a robot to perform a particular skill having a plurality of subtasks. One or more demonstration subtasks defined by the skill template are identified, wherein each demonstration subtask is an action to be refined using local demonstration data. On online execution system uploads sets of local demonstration data to a cloud-based training system. The cloud-based training system generates respective trained model parameters for each set of local demonstration data. The skill template is executed on the robot using the trained model parameters generated by the cloud-based training system.

Abstract: Methods, systems, and computer readable medium for personalizing an analytics user interface. The method includes generating a set of training data from received user interaction data, inputting the set of training data to a machine learning model to train the model, generating a set of user interest scores for the particular user that each indicate a user's interest in accessing information corresponding to a UI element of the application, determining, from the user interest scores, that the user is interested in a particular UI element that was not included in the initial UI and has at least a threshold score, dynamically modifying the initial UI to include the particular UI element, presenting the updated UI, monitoring further user interactions, updating the model based on the further user interactions, and modifying the updated UI based on the updated model.

Abstract: A semiconductor device includes a substrate, semiconductor dies on the substrate, molding compound and a reinforcing layer suspended within the molding compound. The reinforcing layer may for example be a copper foil formed in the molding compound over the semiconductor dies during the compression molding process. The reinforcing layer may have a structural rigidity which provides additional strength to the semiconductor device. The reinforcing layer may also be formed of a thermal conductor to draw heat away from a controller die within the semiconductor device.

Abstract: The present invention provides methods for the synthesis of ketones involving a Ni/Zr-mediated coupling reaction. The Ni/Zr-mediated ketolization reactions can be used in the synthesis of halichondrins (e.g., halichondrin A, B, C; homohalichondrin A, B, C; norhalichondrin A, B, C), and analogs thereof. Therefore, the present invention also provides synthetic methods useful for the synthesis of halichondrins, and analogs thereof. Also provided herein are compounds (i.e., intermediates) useful in the synthesis of halichondrins, and analogs thereof.

Abstract: Systems and methods for measuring changes in mechanical properties, mechanical responses, and or mechanical performances of orthodontic aligners are disclosed. The orthodontic aligners can include a plurality of speckles. The plurality of speckles are adapted for digital image correlation measurements. The methods involve acquiring digital images of the orthodontic aligner and performing digital image correlation on these images. From the digital image correlation, a change in one or more mechanical properties, mechanical responses, and/or mechanical performances in the orthodontic aligner are determined. The systems and methods can provide insight into mechanical properties of physiological structures, which can aid patient diagnosis and treatment.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a demonstration device for robotic demonstration learning. One of the methods includes generating, by a demonstration device for a robot, a representation of a sequence of states input by a user of the demonstration device. The representation is provided by the demonstration device to a robot execution system. The representation of the sequence of actions is translated into a plurality of robot commands corresponding to the representation of the sequence of states input by the user on the demonstration device. The plurality of robot commands corresponding to the sequence of actions input by the user on the demonstration device are executed. Demonstration data is generated from one or more sensor streams of the robot while executing the plurality of robot commands corresponding to the sequence of actions input by the user on the demonstration device.

Abstract: A semiconductor device package includes a substrate having a top planar surface and a first semiconductor die electrically connected to the top planar surface of the substrate. The first semiconductor die and substrate define a tunnel and a first molding compound encapsulates the first semiconductor die and fills the tunnel. A second molding compound that is separate and distinct from the first molding compound is mounted on a top surface of the first molding compound. The first molding, when in a flowable state, has a viscosity that is lower than a viscosity of the second molding compound when it is in a flowable state.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using template robotic control plans. One of the methods comprises obtaining a template robotic control plan that is configurable for a plurality of different robotics applications, wherein the template robotic control plan comprises data defining (i) an adaptation procedure and (ii) a set of one or more open parameters; obtaining a user input defining a respective value or range of values for each open parameter in the set of open parameters, wherein the user input characterizes a specific robotics application for which the template robotic control plan can be configured; and executing, using the obtained values for the set of open parameters, the adaptation procedure to generate a specific robotic control plan from the template robotic control plan.