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AI in Automotive Engineering
Use MATLAB to access and preprocess fleet and vehicle data, build machine learning and predictive models, and deploy models to enterprise IT systems. With MATLAB you can access data stored in files, databases, and the cloud. It helps in exploring modeling approaches using machine learning and deep learning apps and to accelerate algorithms with parallel processing on CPUs, NVIDIA® GPUs, the cloud, and datacenter resources. Automatic conversion of machine learning models to C/C++ code and deep learning models to CUDA® code helps in deployment of trained models or networks to production IT systems, without recoding into another language.
MathWorks is an AUTOSAR Premium Member and actively participates in the development of the standard with focus on the complete application of Model-Based Design with an AUTOSAR development process. Use Simulink and AUTOSAR Blockset™ to design and simulate Classic and Adaptive AUTOSAR systems. Then use Embedded Coder® to generate AUTOSAR code in C for Classic or C++ for Adaptive. Composition authoring with System Composer, as well as, round-trip ARXML-based integrations are supported.
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Efficient IC Verification
MATLAB and Simulink products enable collaboration and integration of analog and digital design and verification teams, enabling faster and higher-quality IC designs. Engineers can use a single design environment that combines control logic, state machines, and analog and digital components that are traditionally modeled at different levels of fidelity and in different design environments. MATLAB and Simulink allow the reuse of system-level models and test benches through HDL cosimulation, or as SystemVerilog DPI components that can be exported to an EDA verification environment such as Mentor Graphics ModelSim and Questa, Cadence Incisive, and Synopsys® VCS®.
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探索如何使用 MATLAB 进行大数据、机器学习和生产分析。
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MATLAB® and Simulink® products help engineers design and simulate communications systems with greater speed and accuracy. Using both detailed low-level models as well as higher-level behavioral abstractions, communications engineers can implement the desired level of model fidelity and run-time performance from within a single environment. MATLAB and Simulink streamline design flows by helping engineers to:
Design and simulate communications algorithms and systems using top-down design methodologies
Combine Signal Processing, analog/mixed-**, and RF domains in a single system model
Design, simulate, and verify complex systems using standards such as LTE
Prototype designs with connections to hardware such as USRP® to enable radio-in-the-loop design
2020年,北京天演融智软件有限公司申请高等教育司产学合作协同育人项目,“大数据”和“机器学习”师资培训项目,以及基于OBE的教考分离改革与教学评测项目已获得批准。我们将会跟更多的高校合作,产学融合协同育人。
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