Abstract: A document generation method includes receiving a first input performed by a user for selecting a type of a to-be-generated document on a photographing preview interface; entering a creation mode for a document of a target type and displaying at least one component of a to-be-generated target document in the creation mode, in response to the first input; receiving a second input performed by a user for adding a picture to the at least one component; capturing a target picture and adding the target picture to the at least one component, in response to the second input; and generating a target document in response to a third input for generating the target document.

Abstract: Embodiments described herein provide a mission-critical artificial intelligence (AI) processor (MAIP), which includes multiple types of HEs (hardware elements) comprising one or more HEs configured to perform operations associated with multi-layer NN (neural network) processing, at least one spare HE, a data buffer to store correctly computed data in a previous layer of multi-layer NN processing computed, and fault tolerance (FT) control logic. The FT control logic is configured to: determine a fault in a current layer NN processing associated with the HE; cause the correctly computed data in the previous layer of multi-layer NN processing to be copied or moved to said at least one spare HE; and cause said at least one spare HE to perform the current layer NN processing using said at least one spare HE and the correctly computed data in the previous layer of multi-layer NN processing.

Abstract: Embodiments described herein provide a mission-critical artificial intelligence (AI) processor (MAIP), which includes an instruction buffer, processing circuitry, a data buffer, command circuitry, and communication circuitry. During operation, the instruction buffer stores a first hardware instruction and a second hardware instruction. The processing circuitry executes the first hardware instruction, which computes an intermediate stage of an AI model. The data buffer stores data generated from executing the first hardware instruction. The command circuitry determines that the second hardware instruction is a hardware-initiated store instruction for transferring the data from the data buffer. Based on the hardware-initiated store instruction, the communication circuitry transfers the data from the data buffer to a memory device of a computing system, which includes the mission-critical processor, via a communication interface.

Abstract: Embodiments described herein provide a mission-critical artificial intelligence (AI) processor (MAIP), which includes an instruction buffer, processing circuitry, a data buffer, command circuitry, and communication circuitry. During operation, the instruction buffer stores a first hardware instruction and a second hardware instruction. The processing circuitry executes the first hardware instruction, which computes an intermediate stage of an AI model. The data buffer stores data generated from executing the first hardware instruction. The command circuitry determines that the second hardware instruction is a hardware-initiated store instruction for transferring the data from the data buffer. Based on the hardware-initiated store instruction, the communication circuitry transfers the data from the data buffer to a memory device of a computing system, which includes the mission-critical processor, via a communication interface.