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.