Abstract: A battery and an electrical device are provided. The battery includes at least one first battery cell and at least one second battery cell, an internal resistance of the first battery cell is greater than that of the second battery cell, and a heat transfer rate of the first battery cell is less than that of the second battery cell.

Abstract: The present application relates to a current collector, an electrode plate, a battery cell, a battery, and an electric device. The current collector includes a stainless steel current-collecting portion for collecting a current, where the stainless steel current-collecting portion includes a blank area and a coating area that are arranged adjacent to each other in a preset direction, the coating area is configured to be coated with an active material, and the blank area has a hardness less than that of the coating area.

Abstract: The present disclosure provides a positive electrode slurry comprising a polyether siloxane, wherein the polyether siloxane may comprise at least the following structural units: wherein D is methyl or ethyl; A is hydrogen, halogen or haloalkyl; B is hydroxyl, R, OR, or ROR?, wherein the R and R? are each independently a linear or branched alkyl group containing 1 to 8 carbons; and E is phenyl, alkyl-substituted phenyl, ether-substituted phenyl, or halophenyl.

Abstract: Provided is a positive electrode slurry comprising a polyether phosphate, wherein the polyether phosphate may comprise at least the following structural units: and a structural unit (IV) that is a phosphate group, A being hydrogen, halogen or haloalkyl; B is hydroxyl, R, OR, or ROR?, the R and R? being each independently a linear or branched alkyl group containing 1 to 8 carbons; and E is phenyl, alkyl-substituted phenyl, ether-substituted phenyl, or halophenyl.

Abstract: An artificial intelligence-based action recognition method includes: determining, according to video data comprising an interactive object, node sequence information corresponding to video frames in the video data, the node sequence information of each video frame including position information of nodes in a node sequence, the nodes in the node sequence being nodes of the interactive object that are moved to implement a corresponding interactive action; determining action categories corresponding to the video frames in the video data, including: determining, according to the node sequence information corresponding to N consecutive video frames in the video data, action categories respectively corresponding to the N consecutive video frames; and determining, according to the action categories corresponding to the video frames in the video data, a target interactive action made by the interactive object in the video data.