Abstract: In certain aspects, a memory system coupled to a host memory includes a memory device. The memory device includes first memory cells and second memory cells. The memory system further includes a memory controller coupled to a host and the memory device. The memory controller is configured to write at least one of a first data to the first memory cells or a second data to the second memory cells. The first data includes user data, and the second data includes swap data from the host memory.

Abstract: In certain aspects, the memory controller includes a controller memory for storing a logical-to-physical (L2P) address mapping table corresponding to a file, and a controller processor configured to control a memory device, receive a mapping update command, and update the L2P address mapping table according to the mapping update command by replacing original logical addresses of logical block address (LBA) segments of the file with new continuous logical addresses of a merged LBA segment of the file, and changing an original mapping relation between the original logical addresses of the LBA segment of the file and physical addresses of the file, to a new mapping relation between the new continuous logical addresses of the merged LBA segment of the file and the physical addresses of the file.

Abstract: The present disclosure provides a method of processing information, an apparatus of processing information, a method of recommending information, an electronic device, and a storage medium. The method includes: obtaining a tree structure parameter of a tree structure, wherein the tree structure is configured to index an object set used for recommendation; obtaining a classifier parameter of a classifier, wherein the classifier is configured to sequentially predict, from a top layer of the tree structure to a bottom layer of the tree structure, a preference node set whose probability of being preferred by a user is ranked higher in each layer, and a preference node set of each layer subsequent to the top layer of the tree structure is determined based on a preference node set of a previous layer of the each layer; and constructing a recalling model based on the tree structure parameter and the classifier parameter.

Abstract: The present disclosure discloses an apparatus and method for distributedly training a model, an electronic device, and a computer readable storage medium. The apparatus may include: a distributed reader, a distributed trainer and a distributed parameter server that are mutually independent. A reader in the distributed reader is configured to acquire a training sample, and load the acquired training sample to a corresponding trainer in the distributed trainer; the trainer in the distributed trainer is configured to perform model training based on the loaded training sample to obtain gradient information; and a parameter server in the distributed parameter server is configured to update a parameter of an initial model based on the gradient information of the distributed trainer to obtain a trained target model.

Abstract: A toilet seat hinged to the rim of a toilet bowl for the sitting of a person is disclosed, having a front bridge, a front baffle plate downwardly extending from the front bridge and insertable into the cavity of the toilet bowl to stop splashing of discharged urine through the gap between the toilet seat and the rim of the toilet bowl, and a front finger recess defined between the bottom side of the front bridge and the front side of front baffle plate for the insertion of fingers to lift the toilet seat from the toilet bowl.