Abstract: A display panel includes a first base substrate, a plurality of light sources on the first base substrate, a second base substrate opposite to the first base substrate, a light conversion structure on the second base substrate, a plurality of extinction structures on a side of the light conversion structure facing the first base substrate, a first channel formed between any two adjacent extinction structures, a plurality of first optical structures on a side of the light conversion structure facing the first base substrate, wherein the plurality of first optical structures are respectively located in the first channels each between any two adjacent extinction structures, and a filler portion between the plurality of light sources and the plurality of first optical structures. The filler portion contains a material with a refractive index greater than that of a material of the first optical structure, and the extinction structure contains light-absorbing material.

Abstract: A display panel includes: multiple light-emitting devices arranged on a substrate, each light-emitting device includes a first electrode, multiple light-emitting units and a second electrode sequentially arranged in a direction away from the substrate, a microcavity structure is formed between the first electrode and the second electrode, the light-emitting unit includes a light-emitting layer, light-emission colors of at least two light-emitting layers in the same light-emitting device are different, and at least one light-emitting device includes a cavity length adjusting layer; and a color conversion layer including multiple wavelength conversion units, each wavelength conversion unit corresponds to a light-emitting device having the cavity length adjusting layer, the wavelength conversion unit is arranged on a light outlet side of the light-emitting device, at least one light-emission peak in a light-emission band of the light-emitting device is less than or equal to an intrinsic light-emission peak of a

Abstract: A color film substrate, a fabrication method therefor, and a display device. The color film substrate comprises a base substrate (1); a black matrix (2) is located on one side of the base substrate (1), the black matrix (2) having a plurality of pixel openings (21); a quantum dot color film layer (31, 32, 33) is located in the pixel openings (21) and comprises an ultraviolet light-curable quantum dot material; and a light conversion structure (4), which is located between a side wall of the black matrix (2) and a side wall of the quantum dot color film layer (31, 32, 33). When a quantum dot solution is UV cured, the light conversion structure (4) may convert ultraviolet light of 395 nm into ultraviolet light that has a shorter wavelength and higher energy.

Abstract: A light-emitting device includes: a light-emitting element; a light conversion layer disposed on a light exit side of the light-emitting element and including a first portion and a second portion located on a side of the first portion in a first direction; a first material layer disposed between the light-emitting element and the light conversion layer and configured such that light emitted by the light-emitting element is incident into the light conversion layer; and a second material layer on a side of the first material layer in the first direction, a third material layer on a side face of the light conversion layer, and a fourth material layer on a side of the light conversion layer away from the light-emitting element, which are configured such that light unconverted by the light conversion layer is reflected on surfaces of a structure formed by the second, third and fourth material layers.

Abstract: The disclosed embodiments provide a system that identifies duplicate entities. During operation, the system selects training data for a first machine learning model based on confidence scores representing likelihoods that pairs of entities in an online system are duplicates. Next, the system updates parameters of the first machine learning model based on features and labels in the training data. The system then identifies a first subset of additional pairs of the entities as duplicate entities based on scores generated by the first machine learning model from values of the features for the additional pairs and a first threshold associated with the scores. The system also determines a canonical entity in each of the duplicate entities based on additional features. Finally, the system updates content outputted in a user interface of the online system based on the identified first subset of the additional pairs.

Abstract: Techniques for securely storing and processing data for training data generation are provided. In one technique, multiple encrypted records are retrieved from a first persistent storage. For each encrypted record, that record is decrypted in memory to generate a decrypted record that comprises multiple attribute values. Then, based on the attribute values and a definition of multiple features of a machine-learned model, multiple feature values are generated and stored, along with a label, in a training instance, which is then stored in a second persistent storage. One or more machine learning techniques are used to train the machine-learned model based on training data that includes the training instances that are stored in the second persistent storage.

Abstract: A display panel includes a first base substrate, a plurality of light sources on the first base substrate, a second base substrate opposite to the first base substrate, a light conversion structure on the second base substrate, a plurality of extinction structures on a side of the light conversion structure facing the first base substrate, a first channel formed between any two adjacent extinction structures, a plurality of first optical structures on a side of the light conversion structure facing the first base substrate, wherein the plurality of first optical structures are respectively located in the first channels each between any two adjacent extinction structures, and a filler portion between the plurality of light sources and the plurality of first optical structures. The filler portion contains a material with a refractive index greater than that of a material of the first optical structure, and the extinction structure contains light-absorbing material.

Abstract: The disclosed embodiments provide a system that identifies duplicate entities. During operation, the system selects training data for a first machine learning model based on confidence scores representing likelihoods that pairs of entities in an online system are duplicates. Next, the system updates parameters of the first machine learning model based on features and labels in the training data. The system then identifies a first subset of additional pairs of the entities as duplicate entities based on scores generated by the first machine learning model from values of the features for the additional pairs and a first threshold associated with the scores. The system also determines a canonical entity in each of the duplicate entities based on additional features. Finally, the system updates content outputted in a user interface of the online system based on the identified first subset of the additional pairs.