Abstract: A driving substrate, a light-emitting apparatus and a manufacturing method thereof, a splicing display apparatus, the driving substrate includes: a device disposing area, a bending area and a bonding area, the bending area is located between the device disposing area and the bonding area; the driving substrates located in the device disposing area, the bending area, and the bonding area include a buffer layer, a first conductive layer and a flexible dielectric layer that are stacked in sequence; the driving substrates located in the device disposing area and the bonding area further include a base plate disposed at a side of the buffer layer away from the first conductive layer, and a second conductive layer disposed at a side of the flexible dielectric layer away from the first conductive layer; and the driving substrate located in the bending area is configured to be able to bend along a bending axis.

Abstract: In an example, first entities are extracted from user profiles. Second entities are extracted from content information associated with content item. User-associated metrics associated with the first entities are determined based upon the user profiles and/or content events. First vector representations of the first entities and second vector representations of the second entities are processed to generate an attention distribution array. Each value of the attention distribution array represents, for a user interested in an entity of the first entities, a proportion of (i) entity-specific activity, of the user, related to an entity of the second entities relative to (ii) an entirety of activity of the user. An inferred activity distribution array is generated by applying the user-associated metrics to the attention distribution array. A filtered subset of activity distribution values is generated by pruning values from the inferred activity distribution array.

Abstract: A display panel is provided. The display panel includes a base substrate; a bank layer on the base substrate, the bank layer defining a plurality of bank apertures; a quantum dots material layer on the base substrate, the quantum dots material layer comprising a plurality of quantum dots blocks respectively in at least some of the plurality of bank apertures; a barrier coating layer in a respective one of the plurality of bank apertures; and an encapsulating layer on a side of the barrier coating layer closer to the base substrate. At least a portion of the barrier coating layer is in direct contact with a portion of the encapsulating layer.

Abstract: A display panel is provided. The display panel includes a bank layer and a quantum dots material layer on a base substrate. The bank layer defines a plurality of bank apertures. The quantum dots material layer includes a plurality of quantum dots blocks respectively in at least some of the plurality of bank apertures. At least a portion of the bank layer between two adjacent bank apertures includes a first surface, a second surface opposite to the first surface, a third surface connecting the first surface and the second surface closer to a first bank aperture, and a fourth surface connecting the first surface and the second surface closer to a second bank aperture. At least a portion of a third surface or a fourth surface of a portion of the bank layer between two adjacent bank apertures is a wavy surface including alternating convex and concave portions.

Abstract: The present teaching relates to method, system, medium, and implementations for characterizing data. A location feature is first received. A distance-aware embedding for the received location feature is obtained, where the distance-aware embedding for the location feature is learned based on distances between different pairs of locations. A representation of the location feature is then generated based on the embedding for location related predictions.

Abstract: The disclosed systems and methods provide a novel framework that provides mechanisms for a Deep & Cross Network (DCN) framework that performs distilled deep prediction for personalized stream ranking on portal websites. The disclosed framework is scalable to satisfy the much more stringent latency and computational requirements required by current network operating environments. The disclosed framework is able to dynamically evaluate and leverage live traffic on network sites in order to provide, update and maintain current recommendations for users as they traverse to a portal and when they navigate within the portal. The disclosed framework implements a DCN model(s) that is capable of being compressed into a model size for a unified optimization within a live traffic environment by combining knowledge distillation and model compression techniques. The disclosed framework is built as a light-weight deep learning model that can be served in production and perform on par with large models.

Abstract: A display panel is provided. The display panel includes a bank layer and a quantum dots material layer on a base substrate. The bank layer defines a plurality of bank apertures. The quantum dots material layer includes a plurality of quantum dots blocks respectively in at least some of the plurality of bank apertures. At least a portion of the bank layer between two adjacent bank apertures includes a first surface, a second surface opposite to the first surface, a third surface connecting the first surface and the second surface closer to a first bank aperture, and a fourth surface connecting the first surface and the second surface closer to a second bank aperture. At least a portion of a third surface or a fourth surface of a portion of the bank layer between two adjacent bank apertures is a wavy surface including alternating convex and concave portions.

Abstract: One or more computing devices, systems, and/or methods for debiasing training data based upon information seeking behaviors are provided. Users associated with a set of training data are segmented into information seeking behavior groups corresponding to varying degrees of information seeking behaviors of the users. Biases for the information seeking behavior groups may be estimated based upon information seeking behaviors of users within the information seeking behavior groups. The training set of data is debiased using the biases to generate a debiased training set of data. A model may be trained to perform a task based upon the debiased training set of data.

Abstract: A near-eye display device includes: a pixel island array, a micro-lens array, and a light condensing functional layer. The pixel island array includes one or more pixel islands, the micro-lens array includes one or more micro-lenses, and each pixel island corresponds to a corresponding micro-lens on a one-to-one basis. And the light condensing functional layer includes one or more light condensing components, the positions of the light condensing components corresponds to the position of the pixel islands, and the light condensing components are located between the corresponding pixel island and the micro-lens for condensing lights emitted by the pixel islands. The light condensing functional layer is arranged between the micro-lens array and the pixel island array, and the light condensing components is arranged in the light condensing functional layer corresponding to the pixel islands.

Abstract: The present disclosure provides a driving substrate, including: a flexible substrate including a display region and a bendable region; a first conductive layer on the flexible substrate and including a first wire in the display region, and a connection wire at least partially in the bendable region; a flexible insulating layer including a first insulation pattern in the display region, and a second insulation pattern in the bendable region; a second conductive layer at a side of the flexible insulating layer far away from the flexible substrate; and a planarization layer at a side of the second conductive layer far away from the flexible substrate and having a hollow structure in the bendable region, wherein a thickness of a portion of the second insulating pattern covering the connection wire is d2, a thickness of the flexible substrate is d3, and d2?2 ?m and |d2?d3|?3 ?m.