Abstract: A package includes a photonic layer on a substrate, the photonic layer including a silicon waveguide coupled to a grating coupler; an interconnect structure over the photonic layer; an electronic die and a first dielectric layer over the interconnect structure, where the electronic die is connected to the interconnect structure; a first substrate bonded to the electronic die and the first dielectric layer; a socket attached to a top surface of the first substrate; and a fiber holder coupled to the first substrate through the socket, where the fiber holder includes a prism that re-orients an optical path of an optical signal.

Abstract: Disclosed in the present invention is a carrying module detachably provided on a host module. The carrying module comprises two mounting bases, two guardrails, two bearing plates, and a backrest assembly. The two guardrails are respectively connected and locked to the mounting bases by means of a first coupling device. The two bearing plates are respectively rotatably mounted at the bottoms of the two guardrails by a second coupling device. When being lifted upwards, the bearing plates are close to the guardrails, and when being horizontally placed, the bearing plates can be used for bearing weight. The backrest assembly is detachably connected and locked to the two guardrails by means of a third coupling device. The host module comprises a host body and a displacement module, which can be combined with a plurality of nursing modules to forma nursing machine, and can also be added with a push module to form a displacement machine.

Abstract: Disclosed are a main unit module and an assistive device equipped with the main unit module, for example, a nursing machine and an overhanging machine. The main unit module comprises a shifting module, a supporting framework module and a coupling module; the supporting framework module is assembled above the shifting module, the coupling module is provided on the supporting framework module. The opening and closing operations of wheel leg sets in the shifting module can drive and control the movement of the main unit module. The supporting framework module is loaded with a nursing module having different functions, so that the main unit module has a plurality of different nursing functions.

Abstract: A computer-implemented method of generating scale-permuted models can generate models having improved accuracy and reduced evaluation computational requirements. The method can include defining, by a computing system including one or more computing devices, a search space including a plurality of candidate permutations of a plurality of candidate feature blocks, each of the plurality of candidate feature blocks having a respective scale. The method can include performing, by the computing system, a plurality of search iterations by a search algorithm to select a scale-permuted model from the search space, the scale-permuted model based at least in part on a candidate permutation of the plurality of candidate permutations.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing instance segmentation by detecting and segmenting individual objects in an image. In one aspect, a method comprises: processing an image to generate data identifying a region of the image that depicts a particular object; obtaining data defining a plurality of example object segmentations; generating a respective weight value for each of the example object segmentations; for each of a plurality of pixels in the region of the image, determining a score characterizing a likelihood that the pixel is included in the particular object depicted in the region of the image using: (i) the example object segmentations, and (ii) the weight values for the example object segmentations; and generating a segmentation of the particular object depicted in the region of the image using the scores for the pixels in the region of the image.

Abstract: A computer-implemented method of generating scale-permuted models can generate models having improved accuracy and reduced evaluation computational requirements. The method can include defining, by a computing system including one or more computing devices, a search space including a plurality of candidate permutations of a plurality of candidate feature blocks, each of the plurality of candidate feature blocks having a respective scale. The method can include performing, by the computing system, a plurality of search iterations by a search algorithm to select a scale-permuted model from the search space, the scale-permuted model based at least in part on a candidate permutation of the plurality of candidate permutations.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training an image representation neural network.

Abstract: An object localization network (OLN) can be used to localize object(s) (e.g., known and/or unknown object(s)) in an instance of vision data. Various implementations include detecting the localized object(s) based on the localization. Many implementations include processing the instance of vision data using the OLN to generate a objectness score (e.g., a centerness score) as well as an intersection of union (IoU) score for one or more proposed object locations in the instance of vision data. Object(s) can be localized in the instance of vision data based on the objectness scores and the IoU scores.

Abstract: An electronic device includes a case and a shoulder button module. The shoulder button module is movably disposed in the case and includes a keycap, a push switch, and a touch sensing assembly. The keycap is exposed from the case. The push switch is located in the case and disposed under the keycap. When the keycap is pushed downward, the push switch is triggered. The touch sensing assembly is disposed in the keycap so as to sense an input command touched on the keycap.

Abstract: Text-to-image generation generally refers to the process of generating an image from one or more text prompts input by a user. While artificial intelligence has been a valuable tool for text-to-image generation, current artificial intelligence-based solutions are more limited as it relates to text-to-3D content creation. For example, these solutions are oftentimes category-dependent, or synthesize 3D content at a low resolution. The present disclosure provides a process and architecture for high-resolution text-to-3D content creation.

Abstract: A case tampering detection device, used for a computer system covered with a computer case, includes at least one detector for detecting whether the computer case is opened and generating a detection result; a storage unit; a microcontroller unit, coupled to the storage unit, for generating a case tampering event and storing the case tampering event in the microcontroller unit or the storage unit when being powered; and a power supply unit, coupled to the at least one detector, for receiving the detection result, and supplying power to the microcontroller unit when the detection result indicates that the computer case is opened.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing instance segmentation by detecting and segmenting individual objects in an image. In one aspect, a method comprises: processing an image to generate data identifying a region of the image that depicts a particular object; obtaining data defining a plurality of example object segmentations; generating a respective weight value for each of the example object segmentations; for each of a plurality of pixels in the region of the image, determining a score characterizing a likelihood that the pixel is included in the particular object depicted in the region of the image using: (i) the example object segmentations, and (ii) the weight values for the example object segmentations; and generating a segmentation of the particular object depicted in the region of the image using the scores for the pixels in the region of the image.

Abstract: A protective package assembly includes middle, upper, and lower packages. The middle package includes side buffer boards. The side buffer boards are connected in a ring shape to form an accommodating space communicated with upper and lower openings. The upper package includes an upper buffer board and upper buffer members. The upper buffer board is configured to cover the upper opening. The upper buffer members are distributed at intervals and protrude from a surface of the upper buffer board. The upper buffer members are disposed toward the interior of the accommodating space. The lower package includes a lower buffer board and lower buffer members. The lower buffer board is configured to cover the lower opening. The lower buffer members are distributed at intervals and protrude from a surface of the lower buffer board. The lower buffer members are disposed toward the interior of the accommodating space.

Abstract: A door device includes a door body and a substrate retaining assembly. The substrate retaining assembly is disposed on a side of the door body. The substrate retaining assembly includes a retaining body and a plurality of retaining members. The retaining members are disposed on the retaining body and arranged at intervals. Each of the retaining members includes two elastic arms and a clamping structure. The clamping structure includes a clamping body, a clamping groove, and at least one relief portion. The clamping body is connected between the two elastic arms. The clamping groove is located on the clamping body and is communicated with adjacent ends of the elastic arms. The relief portion and the clamping groove are communicated to each other.

Abstract: The present disclosure relates generally to immunoglobulin-related compositions (e.g antibodies or antigen binding fragments thereof) that can bind to the PSMA protein. The antibodies of the present technology are useful in methods for detecting and treating a PSMA-associated pathology in a subject in need thereof.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing instance segmentation by detecting and segmenting individual objects in an image. In one aspect, a method comprises: processing an image to generate data identifying a region of the image that depicts a particular object; obtaining data defining a plurality of example object segmentations; generating a respective weight value for each of the example object segmentations; for each of a plurality of pixels in the region of the image, determining a score characterizing a likelihood that the pixel is included in the particular object depicted in the region of the image using: (i) the example object segmentations, and (ii) the weight values for the example object segmentations; and generating a segmentation of the particular object depicted in the region of the image using the scores for the pixels in the region of the image.

Abstract: Example aspects of the present disclosure are directed to systems and methods for learning data augmentation strategies for improved object detection model performance. In particular, example aspects of the present disclosure are directed to iterative reinforcement learning approaches in which, at each of a plurality of iterations, a controller model selects a series of one or more augmentation operations to be applied to training images to generate augmented images. For example, the controller model can select the augmentation operations from a defined search space of available operations which can, for example, include operations that augment the training image without modification of the locations of a target object and corresponding bounding shape within the image and/or operations that do modify the locations of the target object and bounding shape within the training image.

Abstract: Provided are systems and methods that invert a trained NeRF model, which stores the structure of a scene or object, to estimate the 6D pose from an image taken with a novel view. 6D pose estimation has a wide range of applications, including visual localization and object pose estimation for robot manipulation.

Abstract: A computer system for failing a secure boot in a case tampering event comprises a microcontroller unit (MCU); a trusted platform module (TPM), for generating random bytes for a secure boot of the computer system; a bootloader, for storing information comprising the random bytes in the MCU and at least one hardware of the computer system and performing the secure boot, wherein the TPM is comprised in the bootloader; an operating system (OS), for performing the secure boot; and at least one sensor, coupled to the MCU, for detecting a case tampering event, and transmitting a signal for triggering a deletion of the random bytes, if the case tampering event happens. The MCU performs the operation of deleting the random bytes stored in the MCU and the at least one hardware according to a power supply, in response to the signal.

Abstract: Example aspects of the present disclosure are directed to systems and methods for learning data augmentation strategies for improved object detection model performance. In particular, example aspects of the present disclosure are directed to iterative reinforcement learning approaches in which, at each of a plurality of iterations, a controller model selects a series of one or more augmentation operations to be applied to training images to generate augmented images. For example, the controller model can select the augmentation operations from a defined search space of available operations which can, for example, include operations that augment the training image without modification of the locations of a target object and corresponding bounding shape within the image and/or operations that do modify the locations of the target object and bounding shape within the training image.