R2025a Release Highlights – MATLAB and Simulink

 

MathWorks has officially released MATLAB and Simulink R2025a, and this update is packed with exciting new features, enhancements, and performance improvements aimed at accelerating research, development, and production workflows. Whether you're a data scientist, systems engineer, researcher, or educator, R2025a brings valuable tools to help you work smarter and faster.

In this post, we’ll walk you through some of the most notable highlights across MATLAB, Simulink, and several toolboxes.

---

🔬 MATLAB: Enhancing Productivity and AI Capabilities

💡 Live Editor Improvements

The Live Editor continues to evolve into a powerful interactive workspace. R2025a introduces:

• Section debugging: Set breakpoints and step through code section by section.

• Enhanced plotting interactivity: Drag points on plots and see code update in real-time.

• Auto format and clean-up: One-click code tidying for cleaner scripts.

🧠 AI and Machine Learning

MATLAB continues its push into AI with:

• Native support for foundation models: Seamless integration with large language models (LLMs) for natural language processing tasks.

• Improved training performance for deep learning: Enhanced GPU support, especially for NVIDIA Ampere and Hopper architectures.

• AutoML expansion: More automated model selection, hyperparameter tuning, and feature engineering tools.

⚡ Performance Upgrades

• Faster matrix operations thanks to new BLAS optimizations.

• Improved parallel computing defaults, including better job distribution and scaling across clusters.

---

🚀 Simulink: Smarter Modeling, Simulation, and Code Generation

🧱 Model Referencing and Componentization

• Incremental build support: Speeds up simulation and code generation for large models.

• Enhanced interface management: Easily define and track signal interfaces between referenced models.

🛠 Simulation Performance and Analysis

• Faster update diagram and improved solver diagnostics.

• Signal logging enhancements: Filter, query, and visualize signals with less overhead.

• New Scope block features: Auto-scaling, cursor tracking, and real-time parameter inspection.

⚙ Code Generation (Simulink Coder)

• Smaller, faster code for embedded targets.

• Improved support for AUTOSAR and Adaptive AUTOSAR: Better code packaging and interface control.

---

🧰 Toolbox and Domain-Specific Updates

📡 Signal Processing and Communications

• Expanded support for 5G NR and NTN (Non-Terrestrial Networks).

• New functions for radar waveform design and channel modeling.

🏎 Control Systems

• Reinforcement Learning Toolbox now supports multi-agent systems and policy visualization.

• Robust Control Toolbox gains new analysis options and better LFT-based modeling tools.

🤖 Robotics and Autonomous Systems

• Simscape Multibody + ROS 2 integration: Simulate and stream robot dynamics with real-time ROS communication.

• New planner algorithms: Hybrid A*, lattice planners, and customizable trajectory optimization.

🌍 AI and Data Science

• MATLAB Online now supports GPU training and shared cloud workspaces.

• Datastore improvements make it easier to manage and preprocess big datasets in pipelines.

---

🧑‍🏫 Education and Collaboration Tools

• MATLAB Grader has expanded auto-feedback rules for coding assignments.

• Simulink Online updates: Supports versioning, shared links, and GitHub integration.

• Improved MATLAB Drive sync for seamless file access across devices.

---

🔗 Try R2025a Today

R2025a is a significant step forward in MATLAB and Simulink’s evolution as platforms for technical computing, AI development, and model-based design. Whether you're building algorithms, simulating systems, or deploying to hardware, the new release will help you go further, faster.

👉 Visit MathWorks R2025a Release Notes for the full breakdown of what's new.

---

Have questions about R2025a? Let us know in the comments or reach out to your MathWorks representative for a personalized overview.