Abstract: A method including receiving a user input from a user device. The method also includes generating test inputs including the user input and modified inputs. The user input is processed with a rephrasing model to form the modified inputs. The method also includes executing a test model to generate test outputs, including an original test output and modified test outputs, from processing the test inputs. The method also includes generating similarity scores by performing similarity comparisons among the test outputs. The method also includes determining a model confidence from the similarity scores. The method also includes routing the user input responsive to the model confidence satisfying or failing to satisfy a confidence threshold.

Abstract: Some embodiments relate to a photothermal-curing resin composition, and a preparation method therefor and the use thereof. The resin composition includes a combination of specific parts of a prepolymer, a monomer, a photoinitiator, a thermal initiator, fumed silica and a glass powder. By means of adding specific parts of the photoinitiator in conjunction with the thermal initiator, the completion rate of a curing reaction is increased, the resin composition is more thoroughly cured, and the residual monomer rate after curing is lower, and specific parts of the fumed silica and barium-containing glass powder are further added as fillers, such that the hardness, strength and wear resistance of the resin composition are effectively enhanced; therefore, a product resulting from the 3D printing of the finally obtained resin composition completely meets the requirements for being used as temporary crowns and bridges.

Abstract: Aspects of the present disclosure provide techniques for active multifidelity machine learning. Embodiments include selecting, based on one or more criteria, a first subset of unlabeled training data for manual review and a second subset of unlabeled training data for providing to a pre-trained machine learning model for automated labeling. Embodiments include receiving manual label data for the first subset of unlabeled training data. Embodiments include providing inputs to the pre-trained machine learning model based on a subset of the manual label data and the second subset of training data. Embodiments include receiving, as outputs from the pre-trained machine learning model, automated label data for the second subset of unlabeled training data. Embodiments include generating a training data set for a target machine learning model based on the set of unlabeled training data, the manual label data, and the automated label data.

Abstract: A method includes receiving a user input including natural language text. The method also includes generating modified inputs from the user input. The method also includes executing a machine learning model on the modified inputs to generate model outputs. The method also includes sampling the model outputs using a statistical sampling strategy to generate sampled model outputs. The method also includes clustering the sampled model outputs into clusters. The method also includes generating a confidence metric of the clusters. The method also includes routing, automatically in a computing system, the user input based on whether the confidence metric satisfies a threshold value.

Abstract: Augmented Denoising Diffusion Implicit Models (“DDIMs”) using a latent trajectory optimization process can be used for image generation and manipulation using text input and one or more source images to create an output image. Noise bias and textual bias inherent in the model representing the image and text input is corrected by correcting trajectories previously determined by the model at each step of a diffusion inversion process by iterating multiple starts the trajectories to find determine augmented trajectories that minimizes loss at each step. The trajectories can be used to determine an augmented noise vector, enabling use of an augmented DDIM and resulting in more accurate, stable, and responsive text-based image manipulation.

Abstract: A Low Earth orbit (LEO) satellite congestion control routing method is disclosed, including: Step 1: A LEO satellite periodically detecting queue lengths of a plurality of ports and informing a Geostationary Earth Orbit (GEO) satellite of queue lengths of congested ports in the plurality of ports; Step 2: The GEO satellite sending the queue lengths of congested ports to a ground station, and a computing center of the ground station calculating link status weights according to the queue lengths of congested ports; Step 3: According to the link status weights, the computing center of the ground station determining a congestion area; Step 4: The computing center of the ground station calculating a routing table of satellites in the congestion area, and the ground station sending the routing table to a LEO satellite inside the congestion area; Step 5: The LEO satellite in the congestion area receiving the routing table, and performing end-to-end transmission of data packets to a destination LEO satellite accordin

Abstract: A glass substrate and a method for preparing the same, and an electronic device are provided. Two opposite sides of the glass substrate respectively have a first surface compressive stress layer and a second surface compressive stress layer. A surface compressive stress of the first surface compressive stress layer is greater than a surface compressive stress of the second surface compressive stress layer, and a depth of the first surface compressive stress layer is less than a depth of the second surface compressive stress layer.

Abstract: Systems and methods are disclosed for model based document image enhancement. Instead of requiring paired dirty and clean images for training a model to clean document images (which may cause privacy concerns), two models are trained on the unpaired images such that only the dirty images are accessed or only the clean images are accessed at one time. One model is a first implicit model to translate the dirty images from a source space to a latent space, and the other model is a second implicit model to translate the images from the latent space to clean images in a target space. The second implicit model is trained based on translating electronic document images in the target space to the latent space. In some implementations, the implicit models are diffusion models, such as denoising diffusion implicit models based on solving ordinary differential equations.

Abstract: Disambiguity in large language models (LLMs) includes receiving an original query in a user interface, generating an ambiguity query from the original query, and sending, via an application programming interface (API) of an LLM, the ambiguity query to the LLM. The ambiguity query includes the original query and training the LLM to recognize ambiguities. The method further includes receiving, via the API and responsive to the ambiguity query, a binary response and detecting, based at least in part on the binary response, the original query as ambiguous. Disambiguity may include detecting an ambiguity location in the original query using perturbed queries and the LLM.

Abstract: The present disclosure provides a ceramic material for improving surface adhesion of dental zirconia, a restorative material and a preparation method and a adhesion method thereof. The ceramic material includes SiO2, B2O3, GeO2, Al2O3, Li2O, Nb2O5, Na2O, ZrO2, P2O5, and a rare earth oxide. In the present disclosure, the ceramic material includes GeO2.

Abstract: The present disclosure discloses a lithium disilicate glass-ceramic with high strength and high transparency and a preparation method and use thereof. A raw material composition of the lithium disilicate glass-ceramic comprises: 63-75 wt % of SiO2, 13-18 wt % of Li2O, 1-6 wt % of Al2O3, 1-10 wt % of K2O, 2-6 wt % of P2O5, 0-4 wt % of an additive and 0-10 wt % of a colorant; a main crystal phase of the lithium disilicate glass-ceramic is lithium disilicate crystals, and an impurity phase of the lithium disilicate glass-ceramic is any one or a combination of at least two selected from the group consisting of lithium metasilicate, lithium phosphate and quartz; the lithium disilicate crystal has a size larger than 700 nm and a length-diameter ratio not less than 3.

Abstract: Provided are a fluorescent glass ceramic with high transparency and a preparation method and use thereof. The fluorescent glass ceramic includes the following raw materials by mass percentage: 63 wt % to 70 wt % of SiO2, 13 wt % to 16 wt % of Li2O, 1 wt % to 6 wt % of Al2O3, 1 wt % to 10 wt % of K2O, 2 wt % to 6 wt % of P2O5, 0.5 wt % to 3.5 wt % of CeO2, 0 wt % to 4 wt % of an additive, 1 wt % to 4 wt % of a lanthanide oxide with an atomic number of 59 to 71, and 0 wt % to 8 wt % of a colorant. The fluorescent glass ceramic has a lithium metasilicate crystal as a principal crystalline phase, and the lithium metasilicate crystal has a layered or plate-like structure and a grain size of 0.1 ?m to 1.5 ?m.

Abstract: The present disclosure provides a strengthened glass and a glass strengthening method, and an electronic device housing. Two opposing sides of the strengthened glass have surface compressive stress layers, and a third stress layer is sandwiched between the two surface compressive stress layers. The third stress layer includes a compressive stress region and multiple tensile stress regions spaced apart within the compressive stress region, the multiple tensile stress regions are extended in a thickness direction of the strengthened glass, and each of the tensile stress regions is surrounded by the compressive stress region. A sum of thicknesses of the surface compressive stress layers and a thickness of the compressive stress region located between two adjacent tensile stress regions is equal to a thickness of the strengthened glass.

Abstract: The present disclosure belongs to the technical field of 3D printers, and a sunken 3D printer and a 3D printing method are disclosed. The sunken 3D printer comprises a main platform, a first linear driving mechanism, a second linear driving mechanism, a printing platform and an optical machine scraper assembly. The main platform comprises a horizontal platform and a vertical platform which are perpendicular to each other, and a resin tank is provided in the horizontal platform; and the first linear driving mechanism and the second linear driving mechanism are installed at the two ends of the vertical platform, the first linear driving mechanism is used for driving the printing platform to move up and down, and the second linear driving mechanism is used for driving the optical machine scraper assembly to move up and down.

Abstract: The present application relates to sustained release formulations of crystalline drugs, comprising a crystalline drug core and a polymer shell, wherein the polymer comprises PLA and/or PLGA and the shell completely encapsulates the core. The sustained release formulations are suitable for drugs such as steroid or proteins. The present invention also relates to methods of the manufacture of the sustained release formulations, using either pressing alone or pressing in combination with heating.

Abstract: A method including receiving a user input for input to a language processing machine learning model (MLM). The method also includes generating modified inputs that are based on, and semantically related to, the user input. The method also includes executing the MLM to generate model outputs of the MLM. The MLM takes as input instances of each of the modified inputs. The method also includes sampling the model outputs using a statistical sampling strategy to generate sampled model outputs. The method also includes clustering the sampled model outputs into clusters. Each cluster of the clusters represents a distinct semantic meaning of the sampled model outputs. The method also includes generating a confidence metric for the user input. The confidence metric includes a predictive entropy of the clusters. The method also includes routing the user input based on whether the confidence metric satisfies or fails to satisfy a threshold value.

Abstract: Augmented Denoising Diffusion Implicit Models (“DDIMs”) using a latent trajectory optimization process can be used for image generation and manipulation using text input and one or more source images to create an output image. Noise bias and textual bias inherent in the model representing the image and text input is corrected by correcting trajectories previously determined by the model at each step of a diffusion inversion process by iterating multiple starts the trajectories to find determine augmented trajectories that minimizes loss at each step. The trajectories can be used to determine an augmented noise vector, enabling use of an augmented DDIM and resulting in more accurate, stable, and responsive text-based image manipulation.

Abstract: Systems and methods are disclosed for model based document image enhancement. Instead of requiring paired dirty and clean images for training a model to clean document images (which may cause privacy concerns), two models are trained on the unpaired images such that only the dirty images are accessed or only the clean images are accessed at one time. One model is a first implicit model to translate the dirty images from a source space to a latent space, and the other model is a second implicit model to translate the images from the latent space to clean images in a target space. The second implicit model is trained based on translating electronic document images in the target space to the latent space. In some implementations, the implicit models are diffusion models, such as denoising diffusion implicit models based on solving ordinary differential equations.

Abstract: The present disclosure belongs to the technical field of 3D printers, and a sunken 3D printer and a 3D printing method are disclosed. The sunken 3D printer comprises a main platform, a first linear driving mechanism, a second linear driving mechanism, a printing platform and an optical machine scraper assembly. The main platform comprises a horizontal platform and a vertical platform which are perpendicular to each other, and a resin tank is provided in the horizontal platform; and the first linear driving mechanism and the second linear driving mechanism are installed at the two ends of the vertical platform, the first linear driving mechanism is used for driving the printing platform to move up and down, and the second linear driving mechanism is used for driving the optical machine scraper assembly to move up and down.