Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using learnable robotic control plans. One of the methods comprises obtaining a learnable robotic control plan comprising data defining a state machine that includes a plurality of states and a plurality of transitions between states, wherein: one or more states are learnable states, and each learnable state comprises data defining (i) one or more learnable parameters of the learnable state and (ii) a machine learning procedure for automatically learning a respective value for each learnable parameter of the learnable state; and processing the learnable robotic control plan to generate a specific robotic control plan, comprising: obtaining data characterizing a robotic execution environment; and for each learnable state, executing, using the obtained data, the respective machine learning procedures defined by the learnable state to generate a respective value for each learnable parameter of the learnable state.

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. In particular, the present invention provides methods and compounds useful in the synthesis of compound of Formula (H3-A).

Abstract: A packaged semiconductor device includes a substrate, a heat-generating component positioned on a surface of the substrate, an enclosure at least partially surrounding the substrate and the heat-generating component, and a thermal interface material disposed between the heat-generating component and the enclosure. The enclosure includes a cover portion having a convexly curved surface configured to apply a pressure to the thermal interface material. The pressure may be substantially uniform over the area of the thermal interface material, or may be higher at a center of the thermal interface material than at a periphery of the thermal interface material.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for integrating sensor streams for robotic demonstration learning. One of the methods includes selecting, by a learning system for a robot, a base update rate for combining multiple sensor streams into a task state representation. The learning system repeatedly generates the task state representation at the base update rate, including combining, during each time period defined by the update rate, the task state representation from most recently updated sensor data processed by the plurality of neural networks. The learning system repeatedly uses the task state representations to generate commands for the robot at the base update rate.

Abstract: A semiconductor device has vertical contact fingers formed in a substrate having side portions that are flexible. Contact fingers are formed near one or more edges of the flexible side portions of the substrate. After semiconductor dies are mounted to and electrically coupled to the substrate, the semiconductor device may be encapsulated by placing the device in a mold chase including upper and lower mold plates. The lower mold plate is sized smaller than the substrate so that the flexible side portions of the substrate including the contact fingers fold vertically upward to fit within the mold.

Abstract: An apparatus for and a method of inspecting a substrate in which a charged particle beam is arranged to impinge on a portion of the substrate and a first light beam having a first wavelength and a second light beam having a second wavelength different from the first wavelength are also arranged to impinge on the portion of the substrate.

Abstract: A system and a method for manipulating a beam of an Advanced Charge Controller module in different planes in an e-beam system are provided. Some embodiments of the system include a lens system configured to manipulate a beam in the tangential plane and the sagittal plane such that the beam spot is projected onto the wafer with high luminous energy. Some embodiments of the system include a lens system comprising at least two cylindrical lens.

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 data storage device including, in one implementation, a number of memory die packages disposed on a substrate within the data storage device. Each memory die package has a die density that includes one or more memory dies. The die density of each memory die package is configured to provide an even thermal distribution across the number of memory die packages. The respective die densities of two memory of the die packages are different from each other.

Abstract: A charged particle beam system may include a primary source, a secondary source, and a controller. The primary source may be configured to emit a charged particle beam along an optical axis onto a region of a sample. The secondary source may be configured to irradiate the region of the sample. The controller may be configured to control the charged particle beam system to change a parameter of an output of the secondary source. A method of imaging may include emitting a charged particle beam onto a region of a sample, irradiating the region of the sample with a secondary source, and changing a parameter of an output of the secondary source. A method of detecting defects may include inspecting a sample, generating a first defect distribution, and generating a second defect distribution.

Abstract: A semiconductor device is disclosed having reinforced supports at corners of the device. The semiconductor device may include solder balls on a lower surface of the device for soldering the device onto a printed circuit board. In one example, the solder balls at the corners of the semiconductor device may be replaced by support billets having more mass and more contact area between the semiconductor device and the PCB. In a further example, screws may be provided at the corners of the device (instead of the corner solder balls or in addition to the corner solder balls). These screws may be placed through the corners of the semiconductor device and into the printed circuit board.

Abstract: Training a classifier using embeddings and building a latent space is disclosed. The embeddings may be based on weights in a trained machine learning model. Also, operation of the classifier to process video segments in real-time using the using the weights and the latent space is disclosed. The embeddings and the latent space allow the classification to be performed at an overall reduced dimensionality. The latent space is designed to efficiently scale with an increasing number of queries to permit fast search through the space. Embodiments permit real-time operation on video with dynamic features. The classifier reduces the bandwidth demand of video camera-equipped devices at a network edge by setting aside, accurately, non-informative video sequences rather than uploading video too many things over the network. Applications include security cameras, robots and augmented reality glasses.

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: A method of real-time video event detection includes: obtaining, based on a natural language query, a query vector; performing multimodal feature extraction on a video stream to obtain a video vector, obtaining a similarity score by comparing the query vector to the video vector; comparing the similarity score to a predetermined threshold; and activating, based on the similarity score being above the predetermined threshold, an action trigger. The multimodal feature extraction is performed using a plurality of overlapping windows that include sequential frames of the video stream.

Abstract: Training a classifier using embeddings and building a latent space is disclosed. The embeddings may be based on weights in a trained machine learning model. Also, operation of the classifier to process video segments in real-time using the using the weights and the latent space is disclosed. The embeddings and the latent space allow the classification to be performed at an overall reduced dimensionality. The latent space is designed to efficiently scale with an increasing number of queries to permit fast search through the space. Embodiments permit real-time operation on video with dynamic features. The classifier reduces the bandwidth demand of video camera-equipped devices at a network edge by setting aside, accurately, non-informative video sequences rather than uploading video too many things over the network. Applications include security cameras, robots and augmented reality glasses.

Abstract: Provided are a photoalignment method and a photoalignment device, including: adjusting direction of light ray emitted from light source so that first angle is formed between that and XOY plane, and second angle is formed between projection of that on XOY plane and Y-axis; adjusting angle of polarizing plate so that it is parallel to XOY plane, and its light transmission axis is parallel to projection of that on XOY plane; moving array substrate along negative direction of Y-axis to perform exposure operation on array substrate; and moving color filter substrate, which rotated by 180 degrees, in negative direction of Y-axis to perform exposure operation on color filter substrate, wherein color filter substrate has exposure regions which are completely identical, in position and number, to those of array substrate, and each exposure region is exposed to light in identical direction to that of corresponding exposure region of array substrate.

Abstract: A system and a method for monitoring a beam in an inspection system are provided. The system includes an image sensor configured to collect a sequence of images of a beam spot of a beam formed on a surface, each image of the sequence of images having been collected at a different exposure time of the image sensor, and a controller configured to combine the sequence of images to obtain a beam profile of the beam.

Abstract: A packaged semiconductor device includes a substrate, a heat-generating component positioned on a surface of the substrate, an enclosure at least partially surrounding the substrate and the heat-generating component, and a thermal interface material disposed between the heat-generating component and the enclosure. The enclosure includes a cover portion having a convexly curved surface configured to apply a pressure to the thermal interface material. The pressure may be substantially uniform over the area of the thermal interface material, or may be higher at a center of the thermal interface material than at a periphery of the thermal interface material.

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 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.