Abstract: This application provides a model training method and a related device. The method in this application includes: obtaining a first data sequence and a perturbed first data sequence; processing the perturbed first data sequence by using a first to-be-trained model to obtain a first feature sequence, and processing the first data sequence by using a second to-be-trained model to obtain a second feature sequence; training the first to-be-trained model and the second to-be-trained model based on the first feature sequence and the second feature sequence to obtain a first target model and a second target model; and fine-tuning the first target model or the second target model to obtain a third target model, where the third target model is used to obtain a label of a data sequence.

Abstract: A method for measuring a rotational speed of a satellite disk on a MOCVD planetary susceptor includes emitting a beam of laser light on the MOCVD equipment, the laser light irradiating on the planetary susceptor of the MOCVD equipment. As the planetary susceptor is revolving, the laser light is irradiating on a satellite disk and wafers on the satellite disk, splitting and converting the reflected laser light into an electrical signal and sampling the electrical signal at a fixed frequency within a time period of two trigger pulse signals to obtain an angle revolved by the planetary susceptor for each sampling. The rotational speed of the satellite disk is obtained by calculating variation between ?0 to ?1, wherein the rotation angle of ?0 is obtained when the edge of the wafer enters a viewport, and ?1 is calculated when the edge of the same wafer leaves the viewport.

Abstract: Embodiments of systems, apparatuses and methods provide enhanced function as a service (FaaS) to users, e.g., computer developers and cloud service providers (CSPs). A computing system configured to provide such enhanced FaaS service include one or more controls architectural subsystems, software and orchestration subsystems, network and storage subsystems, and security subsystems. The computing system executes functions in response to events triggered by the users in an execution environment provided by the architectural subsystems, which represent an abstraction of execution management and shield the users from the burden of managing the execution. The software and orchestration subsystems allocate computing resources for the function execution by intelligently spinning up and down containers for function code with decreased instantiation latency and increased execution scalability while maintaining secured execution.

Abstract: This application provides a method and apparatus for sequence processing, relates to the field of artificial intelligence, and specifically relates to the field of sequence data processing. The method includes: receiving an input sequence (S410); performing self-attention calculation on a first element in the input sequence by using an element included in M windows, to obtain a representation of the first element, where each window includes one element or a plurality of consecutive elements in the input sequence, there is an interval of at least one element between different windows, at least one of the M windows does not include the first element, and M is an integer greater than or equal to 1 (S420); and obtaining, based on the representation of the first element, an output sequence corresponding to the input sequence (S430).

Abstract: Embodiments of systems, apparatuses and methods provide enhanced function as a service (FaaS) to users, e.g., computer developers and cloud service providers (CSPs). A computing system configured to provide such enhanced FaaS service include one or more controls architectural subsystems, software and orchestration subsystems, network and storage subsystems, and security subsystems. The computing system executes functions in response to events triggered by the users in an execution environment provided by the architectural subsystems, which represent an abstraction of execution management and shield the users from the burden of managing the execution. The software and orchestration subsystems allocate computing resources for the function execution by intelligently spinning up and down containers for function code with decreased instantiation latency and increased execution scalability while maintaining secured execution.

Abstract: A system, method, and computer program product for dynamic closed loop testing of an emulated ASIC interfaced to a sensor device. An adapter adjusts non-pre-recorded active sensor device data to be readable by an emulated ASIC design by adjusting data rates and performing formatting per a selected compatible interface. The adapter also adjusts control commands generated by the emulated ASIC design, including those generated in response to received and evaluated sensor device data, to be readable by the sensor device. The control commands dynamically cause changes in the data the sensor device subsequently outputs. Exemplary sensor devices include cameras that generate multimedia data in consumer electronics devices.