8 results about "Programming Parameter" patented technology

This invention discloses a learning optimization method and system for solving quadratic programming problems, relating to the intersection of mathematical optimization and artificial intelligence. The method includes: inputting convex quadratic programming parameters, transforming them into a two-block separable form through auxiliary variables and indicator functions; initializing variables and LSTM states; generating iterative approximate solutions using LSTM, and determining whether sufficient descent and gradient conditions are met, triggering a gradient descent guarantee mechanism if these conditions are not satisfied; updating auxiliary variables element-wise, adaptively updating relaxation and penalty parameters, and outputting the original and dual solutions; and training the LSTM offline using identically distributed samples. This invention combines the fast inference of neural networks with the convergence guarantee of traditional algorithms, offering high real-time performance, strong robustness, and low resource consumption. It is suitable for scenarios such as high-frequency trading, autonomous driving, edge AI, and power grid scheduling, efficiently solving dynamic parameter convex quadratic programming problems.

This invention relates to a method and system for automatic program generation based on a program timeline and multi-agent collaboration. The method includes: a content generation agent generating a program script based on program parameters; a sound generation agent automatically matching broadcast timbre according to the program script to generate human voice audio and determine background music and sound effects; a program synthesis agent splicing and synthesizing the human voice audio, background music, and sound effects according to a preset order and dependency relationship based on the program timeline to obtain program audio and a timeline file; and a review agent reviewing the program audio, triggering the corresponding agent to perform targeted backtracking and partial regeneration of the corresponding type of smallest content unit based on review tags, and performing partial replacement in the timeline file while keeping other smallest content units unchanged, thus completing the automated generation of broadcast audio programs. This method can achieve high-efficiency, high-consistency, and high-compliance program production while reducing production costs.

This disclosure relates to a method, apparatus, device, and medium for dynamic multi-environment publishing of WeChat Mini Programs. The method includes: obtaining a configuration file set and a private key certificate; packaging and compressing the configuration file set and private key certificate; sending them to the object storage server corresponding to the WeChat Mini Program platform; responding to receiving the target code to be uploaded on the code hosting platform; retrieving the target WeChat Mini Program parameter set corresponding to the target code from the object storage server; modifying the target configuration file corresponding to the target WeChat Mini Program parameter set according to the target code; and transmitting the target configuration file to the WeChat Mini Program publishing script according to the target private key corresponding to the target configuration file, so that the WeChat Mini Program publishing script publishes the Mini Program source code in the target configuration file to the WeChat Mini Program platform; and receiving the upload notification result sent by the WeChat Mini Program publishing script. This automates the code upload process, reducing the manual cost of code transmission in multiple environments.

The present disclosure provides a memory management method and a memory controller, which are suitable for a storage device configured with a memory module. The method comprises: maintaining a plurality of candidate programming configurations, wherein the plurality of candidate programming configurations respectively correspond to different programming parameter groups; obtaining a current working state of the memory module; based on the current working state and a historical evaluation index of each candidate programming configuration, selecting a target programming configuration from the plurality of candidate programming configurations by using an adaptive decision strategy; and applying a target programming parameter group corresponding to the target programming configuration to perform a programming operation on the memory module. In addition, the method further comprises collecting execution feedback data after the programming operation is completed, calculating a quantitative return value and updating the historical evaluation index. Through the closed-loop adaptive learning mechanism, the present disclosure can dynamically balance the programming efficiency, reliability and energy consumption of the memory under different temperature, aging degree and load conditions.

The systems, devices, articles, and methods generally relate to sampling from an available probability distribution. The samples may be used to create a desirable probability distribution, for instance for use in computing values used in computational techniques including: Importance Sampling and Markov chain Monte Carlo systems. An analog processor may operate as a sample generator, for example by: programming the analog processor with a configuration of the number of programmable parameters for the analog processor, which corresponds to a probability distribution over qubits of the analog processor, evolving the analog processor, and reading out states for the qubits. The states for the qubits in the plurality of qubits correspond to a sample from the probability distribution. Operation of the sampling device may be summarized as including updating a set of samples to include the sample from the probability distribution, and returning the set of samples.

Disclosed are a programming method, apparatus and system, a computing-in-memory apparatus, and an electronic device. The method is executed by a computing-in-memory apparatus, wherein the computing-in-memory apparatus comprises a memory circuit. The method comprises: receiving a first programming instruction from a server, the first programming instruction comprising a first programming parameter; controlling a first write operation according to the first programming parameter, the first write operation being configured for writing first weight data to the memory circuit; acquiring a first result of the first write operation; sending a first indicating message to a server, the first indicating message being configured for indicating the first result; receiving a second programming instruction from the server, the second programming instruction being generated on the basis of the first result and comprising a second programming parameter; and controlling a second write operation according to the second programming parameter, the second write operation being configured for adjusting the first weight data written to the memory circuit. The described solution enables physical programming execution to be separated from programming control and reduces programming control requirements for computing-in-memory apparatuses, thereby reducing compute requirements for programming control portions of computing-in-memory apparatuses, and lowering computing-in-memory apparatus complexity and costs.

A user parameter configuration method for polymerase chain reaction technology, comprising the following steps: configuring system parameters, Mix parameters and PCR program parameters; configuring PCR scheme parameters; program parsing system parameters, Mix parameters and scheme parameters; and bringing the parsed parameters into the PCR program of a PCR instrument for experiment; wherein json string processing is performed when storing data, and the json string is stored in a field in a table in a database; wherein json deserialization objects or arrays are executed when displaying data, and the page traverses the objects or arrays to display data; the method further comprises the steps of: obtaining data of a detailed table filled in by a user in a foreground interface, and performing data verification; after the data verification passes, the data is converted into a json string, and the data of the json serialized string is transmitted to a background; the background processes the json string into objects or object arrays for logical processing; and the processed objects or object arrays are converted into a json string and stored in a database.

Generation of physical random values ​​using a resistive memory device. This description relates to a device configured to generate a random value, the device comprising: a resistive memory device (102) capable of being programmed incrementally; and a control circuit (104) configured to: - perform a first programming operation with first programming parameters in order to generate a first conductance variation of a first polarity in the resistive memory device; - perform a second programming operation with second programming parameters in order to generate a second conductance variation of a second polarity, opposite to the first polarity, in the resistive memory device; and - generate the random value by reading a conductance value from the resistive memory device after the first and second programming operations.Figure for the abridged version: Fig. 1.