Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For instance, in one or more embodiments, the disclosed systems generate utilizing a segmentation neural network, an object mask for each object of a plurality of objects of a digital image. The disclosed systems detect a first user interaction with an object in the digital image displayed via a graphical user interface. The disclosed systems surface, via the graphical user interface, the object mask for the object in response to the first user interaction. The disclosed systems perform an object-aware modification of the digital image in response to a second user interaction with the object mask for the object.

Abstract: In some implementations, a device may obtain interaction data for an evaluator in a communication session with an individual based on interactions of the evaluator with the individual during the communication session, wherein the evaluator is to provide the evaluation of the individual. The device may obtain evaluation information identifying the evaluation of the individual by the evaluator. The device may determine a degree of bias of the evaluator toward the individual during the communication session based on at least the interaction data. The device may adjust the evaluation of the individual based on the degree of bias of the evaluator.

Abstract: A display panel includes: a substrate, sub-pixels and a gate drive circuit. The sub-pixel includes a pixel drive circuit. The gate drive circuit includes cascaded shift registers, and a shift register is electrically connected to pixel drive circuits in a row of sub-pixels. The gate drive circuit further includes cascade input signal lines and cascade display reset signal lines. The cascade input signal line is configured to connect a shift signal terminal and an input signal terminal of two different shift register; and the cascade display reset signal line is configured to connect a shift signal terminal and a display reset signal terminal of two different shift register. The display panel has sub-pixel regions for arranging the sub-pixels and first gap regions each located between two adjacent columns of sub-pixel regions; the cascade display reset signal lines and the cascade input signal lines are disposed in different first gap regions.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For instance, in one or more embodiments, the disclosed systems receive a digital image from a client device. The disclosed systems detect, utilizing a shadow detection neural network, an object portrayed in the digital image. The disclosed systems detect, utilizing the shadow detection neural network, a shadow portrayed in the digital image. The disclosed systems generate, utilizing the shadow detection neural network, an object-shadow pair prediction that associates the shadow with the object.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing to synthesize shadows for object(s). For instance, in one or more embodiments, the disclosed systems receive a digital image depicting a scene. The disclosed systems access an object mask of the object depicting in the digital image. The disclosed systems further combine the object mask, the digital image, and a noise representation to generate a combined representation. Moreover, the disclosed systems generate a shadow for the object from the combined representation and further generates the modified digital image by combining the shadow with the digital image.

Abstract: An accuracy measurement kit is provided and includes a marker, at least one light beam device, an image capture device, and a processing device. The marker is disposed on an autonomous mobile vehicle, and at least partially includes a reference pattern. The light beam device is configured to emit a light beam to the autonomous mobile vehicle located at a predetermined position so as to form a light spot on the marker. The processing device is configured to capture the light spot the marker on the autonomous mobile vehicle for generating a to-be-analyzed image. The processing device is configured to obtain an offset of the autonomous mobile vehicle in an X-axis direction and a Y-axis direction by calculating images of the to-be-analyzed image corresponding to the reference pattern and the light spot.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing to remove a shadow for an object. For instance, in one or more embodiments, the disclosed systems receive a digital image depicting a scene. The disclosed systems access a shadow mask of the shadow in a first location. Further, the disclosed systems generate the modified digital image without the shadow by generating a fill for the first location that preserves a visible location of the first location. Moreover, the disclosed systems generate the digital image without the shadow for the object by combining the fill with the digital image.

Abstract: Systems and methods for multi-modal image generation are provided. One or more aspects of the systems and methods includes obtaining a text prompt and layout information indicating a target location for an element of the text prompt within an image to be generated and computing a text feature map including a plurality of values corresponding to the element of the text prompt at pixel locations corresponding to the target location. Then the image is generated based on the text feature map using a diffusion model. The generated image includes the element of the text prompt at the target location.

Abstract: A blockchain-based member tracking system, communicatively connected to multiple web servers and multiple user devices, comprises an advertising database, multiple advertising modules, a primary member database, and a blockchain module. The advertising modules are configured to run on the web servers and are configured for displaying the advertising data. When the user device connects to the web server, the blockchain module generates a set of the preference tags and a set of the point data, and associates them with the corresponding member data of the user device. When the user device connects to the web server, the advertising module selects the advertising data based on the corresponding member data and the preference tags. The preference tags are a form of non-fungible token data.

Abstract: Embodiments ralte to a multi-mode demosaicing circuit able to receive and demosaic image data in a different raw image formats, such as Bayer raw image format and Quad Bayer raw image format. The multi-mode demosaicing circuit demosaics Quad Bayer image data by interpolating a green channel of the image data along each of a plurality of directions, generating a gradient of the image data along each of the plurality of directions, modifying the interpolated green channels based on respective gradients to generate full-resolution green channel image data, which is combined with red and blue image data to generate the demosaiced image data. Interpolation is performed for non-green pixels based on neighboring green pixels along a specified direction, modified by a residual value based upon valued of one or more nearby same-color pixels and a correlation between values of the same color pixels and neighboring green pixels.

Abstract: A method for forming a semiconductor structure is provided. The method includes forming a spacer layer along a first fin structure and a second fin structure, etching a first portion of the spacer layer and the first fin structure to form first fin spacers and a first recess between the first fin spacers, etching a second portion of the spacer layer and the second fin structure to form second fin spacers and a second recess between the second fin spacers, and forming a first source/drain feature in the first recess and a second source/drain feature in the second recess. The second fin structure is wider than the first fin structure. The first fin spacers have a first height, and the second fin spacers have a second height that is greater than the first height.

Abstract: Provided are techniques for identifying and correcting model focus drift during model training. A model is trained using an original dataset with data, and the is classified into clusters. A representation is assigned to each of the clusters. A first visualization dashboard with visualizations is generated, where each visualization represents a first data distribution of an associated cluster using the representation assigned to that cluster. The model is fine-tuned using a fine-tune dataset. A second visualization dashboard is generated by updating each visualization, where each visualization represents a second data distribution of the associated cluster. It is determined that a cluster of the clusters has focus drift based on changes between the first data distribution and the second data distribution. The focus drift is corrected by: adding the data of the cluster to the fine-tune dataset to form a combined dataset and fine-tuning the model using the combined dataset.

Abstract: An electronic device includes a sustaining layer, multiple substrates, multiple photoelectric units, and multiple signal layers. The substrates are arranged on a contact surface of the sustaining layer. A first end edge of at least one substrate approaches a first end edge of the sustaining layer, and a first side edge of one substrate is adjacent to a second side edge of another substrate. The photoelectric units are arranged on the first or/and second surfaces of the substrates. The signal layers are arranged on the substrates and electrically connected to the photoelectric units.

Abstract: Microcontroller units and methods for computing performance are provided. The disclosed microcontroller unit can include a central processing unit (CPU) configured to start a computing program, an accelerator comprising an in-memory computing (IMC) macro cluster configured to accelerate at least one layer of a machine learning model, a data memory (DMEM), and a direct memory access (DMA) module configured to transfer a weight data of a layer of a machine learning model from the DMEM to the IMC macro cluster.

Abstract: The present invention provides a display panel and a mobile terminal, including a panel layer including, but not limited to, a first portion, a second portion, and a curved third portion connected therebetween; a protective layer on the third portion; a first support layer on a side of the panel layer away from the protective layer and disposed opposite to the first portion; and a cover layer on the first portion and including an edge as an ink layer; the protective layer has a minimum thickness on a side close to the first portion and between a boundary of the first portion and an inner boundary of the ink layer.

Abstract: Systems and methods for multi-modal image editing are provided. In one aspect, a system and method for multi-modal image editing includes identifying an image, a prompt identifying an element to be added to the image, and a mask indicating a first region of the image for depicting the element. The system then generates a partially noisy image map that includes noise in the first region and image features from the image in a second region outside the first region. A diffusion model generates a composite image map based on the partially noisy image map and the prompt. In some cases, the composite image map includes the target element in the first region that corresponds to the mask.

Abstract: The present disclosure describes a method of forming low thermal budget dielectrics in semiconductor devices.

Abstract: A die bonding device is provided to pick up a die and place the die on a carrier. The die bonding device includes a pick-and-placer and a vacuum generator. The pick-and-placer includes an adsorption surface, a first channel and a second channel, and the first channel and the second channel are not connected to each other. The vacuum generator includes a first vacuum pump and a second vacuum pump, the first vacuum pump is connected to the first channel via a pipeline, the second vacuum pump is connected to the second channel via another pipeline, the first vacuum pump and the second vacuum pump make the pick-and-placer adsorb the die to the adsorption surface during a vacuum holding period, and the first vacuum pump and the second vacuum pump respectively make the pick-and-placer release the die to the carrier sequentially in a vacuum release period.

Abstract: In some implementations, a memory device may determine that a power loss has occurred. The memory device may determine a last written page (LWP) location associated with an LWP of a block of a memory of the memory device. The memory device may determine one of: a word line group (WLG) associated with the LWP location and at least one WLG-dependent offset associated with the WLG, or a partial block (PB) fill ratio associated with the LWP location and at least one PB-fill-ratio-dependent offset associated with the PB fill ratio. The memory device may perform a power loss error detection procedure based on one of the at least one WLG-dependent offset or the at least one PB-fill-ratio offset by applying the one of the at least one WLG-dependent offset or the at least one PB-fill-ratio offset to at least one read reference voltage.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that provides a graphical user interface experience to move objects and generate new shadows within a digital image scene. For instance, in one or more embodiments, the disclosed systems receive a digital image depicting a scene. The disclosed systems receive a selection to position an object in a first location within the scene. Further, the disclosed systems composite an image by placing the object at the first location within the scene of the digital image. Moreover, the disclosed systems generate a modified digital image having a shadow of the object where the shadow is consistent with the scene and provides the modified digital image to the client device.