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1. High-level language for scientific and engineering computing.
2. Desktop environment tuned for iterative exploration, design, and problem-solving.
3. Graphics for visualizing data and tools for creating custom plots.
4. Apps for curve fitting, data classification, signal analysis, and many other domain-specific tasks.
5. Add-on toolboxes for a wide range of engineering and scientific applications.
6. Tools for building applications with custom user interfaces
7. Interfaces to C/C++, Java, .NET, Python, SQL, Hadoop, and Microsoft Excel.
8. Royalty-free deployment options for sharing MATLAB programs with end users.

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1. Deep Learning: Develop controllers and decision making systems using reinforcement learning, train deep learning models on NVIDIA DGX and cloud platforms, and apply deep learning to 3-D data.
2. Automotive: Design and simulate AUTOSAR software, interface with HERE HD maps, and generate energy balance reports.
3. Systems Engineering: Design and analyze system and software architectures with System Composer.
4. Projects: Use projects in MATLAB and Simulink to organize, manage, and share your work.
5. Simulink Onramp: Learn the basics of how to create, edit, and simulate Simulink models through an interactive tutorial.
6. Stateflow Charts in MATLAB: Graphically program, debug, and execute standalone state machines as MATLAB objects.

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1. Mac OS X Kodiak, 10.0 (Cheetah), 10.1 (Puma), 10.2 (Jaguar), 10.3 (Panther), 10.4 (Tiger), 10.5 (Leopard), 10.6 (Snow Leopard), 10.7 (Lion)
2. OS X 10.8 (Mountain Lion), 10.9 (Mavericks), 10.10 (Yosemite), 10.11 (El Capitan)
3. macOS 10.12 (Sierra), 10.13 (High Sierra), 10.14 (Mojave), 10.15 (Catalina), 11.0 (Big Sur) and Later Version.
4. Supported hardware: Intel or PowerPC Mac.