Abstract: A computer-implemented method for adaptive mesh refinement includes generating a first mesh for a first layer of a stacked model representing a 3D integrated circuit, the first mesh including a first grid for the first layer, performing a simulation for the stacked model using the first mesh to obtain first results, calculating an interpolated value for a particular grid node according to the first results, the particular grid node corresponding to a node of the first grid in the grid hierarchy. The method further includes generating a second mesh for the layer of the stacked model, the second mesh including a second grid for the first layer, performing a simulation for the stacked model using the second mesh to obtain a simulated value of the particular grid node, comparing the interpolated and simulated value, and generating a refined mesh for the first layer including a refined grid.

Abstract: A human pose estimation method and apparatus relating to the field of video processing technologies are disclosed, to implement real-time optimization of an event camera-based model and improve a generalization capability. According to the human pose estimation method in this application, during inference of an event camera-based pose estimation model, a network parameter of the model can be optimized. A pose estimation result of an RGB image synchronously captured by an RGB camera is used as a label to optimize the event camera-based pose estimation model, to improve accuracy of the event camera-based pose estimation model.

Abstract: Imaging systems, microcapsules and method are provided, including an under-layer including one or more pressure-sensitive microcapsules including a solvent, plasticizer, or a diluent and/or a photo-hardenable black microcapsule including a black leuco-dye or a leuco-dye system. The resulting imaging sheets achieve improved image color saturation, an improved rate of image development, and enhanced dye mixing.

Abstract: Imaging systems, apparatus, developer systems and methods are provided which includes a two-layer developer comprising a low-haze clear developer layer (Dc) and a microporous translucent developer layer (Dp). The microporous translucent developer layer is deposited between an imaging layer which includes photosensitive microcapsule layer and the low-haze clear developer layer. The resulting imaging sheets achieve improved image color saturation, an improved rate of image development and enhanced dye mixing, and an improved printing energy efficiency as well as an improved weatherability or discoloration resistance of the developed image.

Abstract: This application provides an image processing method and a related apparatus. The image processing method includes: obtaining a first image; determining blurring information indicating a blurred area in the first image; and performing deblurring processing on the first image based on the first image and the blurring information of the first image by using a first neural network, to obtain a second image. In the method, the first neural network is trained and is used for image deblurring. Specifically, the first neural network is trained based on an image and blurring information indicating a blurred area in the image. Therefore, in comparison with a neural network obtained through training based only on images, using the first neural network for image deblurring helps improve definition of a deblurred image.

Abstract: The presently disclosed subject matter generally relates to polymer networks having covalent crosslinks, non-covalent crosslinks, and ionic side groups, and methods of making and using same. Specifically, the disclosed polymer networks can be incorporated into membranes, which can be useful in, for example, electrodialysis. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present disclosure.

Abstract: An interactive phone holder and intelligent interaction method, the method includes the steps of generating a control signal by a phone and performing a corresponding emotional expression group by the phone and the phone holder which cooperate with each other, wherein the emotional expression group includes: displaying at least one of expression pattern and expression animation by the phone, performing at least one basic action by the phone holder, and adjusting a status of an information indicator light on said phone holder in one or more ways.

Abstract: Microcapsules including a color-filtering shell and a core comprising a leuco dye or dye precursor, a photoinitiator or photosensitizer, and a photohardenable or photosoftenable material are provided for use in microcapsule imaging sheets. The imaging sheets including such microcapsules reduce undesirable crosstalk among the microcapsules of various colors and provide significantly improved color fidelity of the image thus reproduced.

Abstract: A computer-implemented method of processing retinal images comprises accessing a multispectral image of a retina, the multispectral image comprising a first image of the retina associated with a first wavelength and a second image of the retina associated with a second wavelength, the second wavelength being distinct from the first wavelength, determining a first extent of a first artefact associated with the first image, determining a second extent of the first artefact or of a second artefact associated with the second image, computing a quality index based on the first extent of the first artefact and the second extent of the first or second artefact; and determining, based on the quality index, whether the multispectral image is suitable for training a machine-learning algorithm (MLA).

Abstract: Access restrictions are enforced for fine-tuning a machine learning model. A request to fine tune a machine learning model is received. The machine learning model may be subject to provider access restrictions. Tuning data for fine-tuning the machine learning model may be subject to consumer access restrictions. Fine-tuning may be performed that enforces both the provider access restrictions and consumer access restrictions to generate a tuned set of weights that are combinable with weights of the trained machine learning model to perform inferences as a fine-tuned machine learning model.

Abstract: A pose estimation method and a related apparatus are provided. The method includes: obtaining first sensing data and second sensing data, where the first sensing data is obtained using a DVS of a mobile apparatus by detecting a physical space in which the mobile apparatus is located, and the second sensing data is obtained using a 2D radar of the mobile apparatus by detecting the physical space in which the mobile apparatus is located; performing feature enhancement on first depth information based on the first sensing data, to obtain second depth information, where the first depth information is obtained by fusing the first sensing data and the second sensing data; and determining a pose of the mobile apparatus based on the second depth information.

Abstract: Provided in the present disclosure are a target detection method and apparatus, and a target detection model training method and apparatus. The target detection method includes: acquiring sensing data of an area to be sensed; and obtaining a detection result according to the sensing data and a target detection model, where the detection result includes a plurality of pieces of indication information, each piece of indication information of the plurality of pieces of indication information corresponds to a sub-area in the area to be sensed, and the each piece of indication information is used to indicate whether there is a target in the sub-area corresponding to the each piece of indication information.

Abstract: This application discloses a map generation method, which includes: first obtaining a plurality of obstacles in a scanning range of a sensor; controlling a terminal device to navigate to a first obstacle, where the first obstacle is an obstacle closest to the terminal device in the plurality of obstacles; then determining a next navigation point of the terminal device, where the next navigation point is an obstacle whose distance from the first obstacle is the shortest in a plurality of candidate obstacles, or the next navigation point is an obstacle that is not selected in the plurality of obstacles and that the terminal device does not pass through; and generating a map based on a navigation trajectory of the terminal device.

Abstract: Methods, systems, and devices for entity token segregation are described. A custodial token platform (e.g., via a ledger service or manager) monitors a set of actions by a first set of user profiles at a custodial token platform based on the first set of user profiles being associated with a first segregated entity for which a rebalancing rule is configured. The custodial token platform determines, based on the rebalancing rule, a net change in token amounts attributed to the first set of user profiles associated with the first segregated entity during a first duration of time. The custodial token platform executes a transfer of a first amount of one or more crypto tokens between a first blockchain address associated with the first segregated entity and a second blockchain address associated with the custodial token platform, where the first amount is based on the rebalancing rule and the net change.

Abstract: Microcapsules including a polymeric shell and an internal phase including a non-photopolymerizable reactive diluent are provided for use in microcapsule imaging sheets. Imaging sheets including microcapsules which include a non-photopolymerizable reactive diluent, and which exhibit improvements in color development (Dmax), discoloration (yellowing) resistance, mechanical properties (e.g., peel strength), and temperature latitude of imaging sheets including leuco dyes.

Abstract: The subject matter described herein is directed to methods of preparing linear and brush polymers with functional backbones and the polymers prepared therefrom. The methods are termed RAFT step-growth polymerizations and can prepare unique polymers by using a step-growth mechanism to insert multiple functionalities into the polymer backbone. The methods include facile syntheses to obtain tunable polymers, including a two-step process to obtain tunable bottlebrush polymers.

Abstract: A post-task-completion retention period for which a computing resource is to be retained, without de-activating the resource, on behalf of a set of requesters of machine learning tasks is determined at a machine learning service. A first task, identified at the service prior to expiration of the retention period at a first computing resource at which a second task has completed, is initiated at the first computing resource. In response to obtaining an indication of a third task and determining that a threshold criterion associated with the retention period satisfies a criterion, the third task is initiated at an additional computing resource. The additional computing resource is de-activated after the third task completes, without waiting for the retention period to expire.

Abstract: Microcapsules including a polymeric shell and an internal phase including a non-photopolymerizable reactive diluent are provided for use in microcapsule imaging sheets. Imaging sheets including microcapsules which include a non-photopolymerizable reactive diluent, and which exhibit improvements in color development (Dmax), discoloration (yellowing) resistance, mechanical properties (e.g., peel strength), and temperature latitude of imaging sheets including leuco dyes.

Abstract: Parameters of a pool of computing resources to be utilized for machine learning tasks from a set of entities are stored, including a category of the computing resources, and a post-task-completion retention period during which, after completion of a task, at least a portion of data stored at the resource is not to be deleted. A compute instance of the pool is assigned to a task requested from the set of entities after determining that one or more configuration settings of the instance satisfy a preference indicated in the request for the task, and that the retention period of the instance relative to a completion of an earlier task on the instance has not expired. A result of the task is stored.