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Transform Engineering and Science with MATLAB for Artificial Intelligence

MATLAB and Simulink for Artificial Intelligence

MATLAB is a powerful engineering platform that enables the seamless integration of Artificial Intelligence (AI) in the design, development, and operationalization of engineered systems. Engineers and scientists leverage MATLAB to enhance AI datasets, construct domain-specific AI models, and continually test these models in a broad system-wide context. One of the key advantages highlighted by professionals like Katja Deuschl from Mercedes-Benz is the elimination of tedious manual coding processes, leading to increased efficiency and reduced errors in AI development. The platform provides transformative capabilities, allowing users to elevate workflows and devise innovative solutions within complex environments.

Reliable Tools for AI-Driven Systems

AI is a dynamic and rapidly evolving technology, and MATLAB equips engineers and scientists with the necessary tools to leverage AI within their domains effectively. With MATLAB, users can effortlessly create AI models with minimal code or opt for pretrained models to expedite development. The platform offers domain-specific tools and low-code applications that empower the construction of comprehensive and scalable AI workflows. By blending AI techniques with system-level simulation, MATLAB aids in reducing errors during the production phase. Furthermore, the ability to deploy AI models to high-performance systems such as edge devices and the cloud broadens the scope of AI implementation. MATLAB also fosters seamless information exchange between MATLAB and Python, enhancing collaboration and knowledge transfer.

Applying AI to Your Domain

MATLAB acts as a versatile gateway for integrating AI into diverse application workflows such as robotics, predictive maintenance, computer vision, wireless communications, signal processing, electrification, radar, control algorithms, and more. Noteworthy applications like visual inspection benefit from the systematic approach MATLAB offers, enabling automatic anomaly detection in images through computer vision. To achieve optimal results, users are guided in enhancing training data quality, ensuring AI model accuracy, testing seamless system integration, and detecting defects via networks like YOLOX. Additionally, MATLAB facilitates the fusion of AI with Model-Based Design, accelerating the enhancement of complex systems and enabling the development of embedded algorithms that were previously challenging to implement.

Engaging with the MATLAB AI Community

MATLAB's commitment extends beyond providing a robust AI platform; the platform actively engages with AI enthusiasts through blogs, tutorials, examples, and the MATLAB Central community. Users can explore the latest AI news, gain insights, access tutorials on AI workflows and applications, and collaborate by sharing ideas, knowledge, and code. The AI forum within MATLAB Central serves as a hub for knowledge exchange, where researchers, professionals, and enthusiasts can connect, seek advice, and contribute to the AI domain. Furthermore, MathWorks offers avenues for individuals to connect with AI experts, partake in a 30-day free trial to explore the platform, and engage with AI-specific onramps that guide users through various AI workflows.


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Exploring the Power of MathWorks MATLAB Simulink for Design, Simulation, and Deployment

Model-Based Design with Simulink

Simulink, offered by MathWorks as a part of MATLAB solutions, revolutionizes development processes by employing Model-Based Design. This methodology enables companies to utilize models comprehensively, starting from the concept phase to the operational stage. By leveraging virtual models, users can simulate and test systems iteratively, ensuring design validation. Moreover, the transition to physical models, Hardware-in-the-Loop testing, and rapid prototyping is seamless, facilitating efficient design verification. Notably, Simulink simplifies the process of generating production-quality code in various languages like C, C++, CUDA, PLC, Verilog, and VHDL, enabling direct deployment to embedded systems. This interconnected digital thread provided by Simulink ensures traceability throughout the development lifecycle, spanning requirements, system architecture, component design, code, and tests. Additionally, the extension of models to operational systems allows for predictive maintenance and fault analysis, enhancing system performance and reliability.

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MATLAB for Students: Empowering Future Engineers and Scientists

Unleashing the Power of MATLAB for Students

MATLAB is not just a software tool; it's a gateway to unlocking the potential of students in the fields of engineering and science. With MATLAB, students can delve into data analysis for their homework assignments, conduct cutting-edge research, and hone their programming skills to pave the way for a successful career in these dynamic fields.

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Mastering System and Algorithm Modeling with MATLAB Simulink Training

Introduction to Simulink Interface and Basic Model Creation

The 'Simulink Fundamentals' course, previously known as 'Simulink for System and Algorithm Modeling,' is tailored for engineers who are new to system and algorithm modeling using Simulink. Over the course of two days, participants learn how to apply fundamental modeling techniques to build Simulink block diagrams efficiently. The initial day focuses on creating and simulating models. Attendees are introduced to the Simulink interface, where they create a simple model, simulate it, and analyze the results. They delve into topics such as generating and visualizing signals, understanding solver behavior, dealing with algebraic loops, and modeling basic programming constructs within Simulink, including comparisons, decision statements, and actuator logic systems. This hands-on approach allows engineers to gain practical experience in system dynamics simulation and model analysis.

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Empower Your Skills with MATLAB and Simulink Training

Comprehensive Training for MATLAB Fundamentals

MATLAB Fundamentals courses equip you with the essential knowledge and skills required for data analysis, modeling, and programming. Whether you are a beginner or looking to enhance your proficiency, these courses provide a solid foundation to excel in MATLAB. Learn from experienced MathWorks instructors in virtual or in-person settings, tailored to suit your learning style and preferences.

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Revolutionizing Electrical Technology with MATLAB and Simulink

MATLAB and Simulink’s Role in Electrical Technology Development

MATLAB and Simulink by MathWorks offer a comprehensive suite of tools tailored for engineers and scientists engaged in electrification projects. These powerful software solutions support diverse applications, ranging from motor control and battery management for electric vehicles to integrating renewable energy sources into the power grid. The system enables users to develop electrical technologies that enhance reliability, boost efficiency, and combat climate change. With MATLAB and Simulink, engineers can seamlessly transition from designing individual electrical components to creating sophisticated electrical systems.

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