Latest Contributions
What’s New in MATLAB and Simulink in 2025
If you missed this session live, this is one of those “everyone’s talking about it” updates you’ll want to catch up on. 👀
This session is packed with the kinds of enhancements that quietly (and not so quietly) change how you work every day.
Here’s why it earned a spot in our Top 4:
- A redesigned MATLAB desktop with customizable sidebars and light/dark themes—built to adapt to how you work
- New side panels for coding and development tasks, plus more control over organizing and customizing figures
- MATLAB Copilot, a generative AI assistant optimized for MATLAB to help you explore ideas, learn techniques, and boost productivity directly in the desktop
- Simulink workflow improvements like a redesigned Simulink scope, more detailed info in quick insert, and automatic signal line straightening
- Enhanced Python integration across MATLAB and Simulink
- New AI deployment options optimized for Qualcomm and Infineon hardware targets
If staying current with MATLAB and Simulink is part of your role—or your edge—this session is a must‑watch. Missing it means missing context for features that will shape how you work in 2026 and beyond.
💬 Discussion topic:
Which single update from this release do you think will most improve your day‑to‑day workflow, and why?
🤖 What does it take to make robotic motion feel… human?
In this session, Tetsushi Sotowa shares how NSK is combining advanced control techniques with deep learning to enable human‑like grasping in electric grippers
You’ll see a real‑world case study featuring:
- Bilateral and force control systems developed in‑house
- MATLAB and Simulink–based control workflows
- Deep learning integration using Deep Learning Toolbox
- A practical path from mechatronics research to intelligent actuation
The result: an AI‑enhanced actuator capable of more natural, responsive grasping—bringing robotics one step closer to human motion.
👉 Interested in AI‑driven robotics and advanced control? Check out the session now from MATLAB EXPO 2025.
Missed a crowd‑favorite session feautring Marko Gecic at Infineon and Lucas Garcia at MathWorks?
This talk shows how to verify and test AI for real‑time, safety‑critical systems using an AI virtual sensor that estimates motor rotor position on an Infineon AURIX TC4x microcontroller. Built with MATLAB and Simulink, the demo covers training, verification, and real‑time control across a wide range of operating conditions.
You’ll see practical techniques to test robustness, measure sensitivity to input perturbations, and detect out‑of‑distribution behavior—critical steps for meeting standards like ISO 26262 and ISO 8800. The session also highlights how Model‑Based Design leverages AURIX TC4x features such as the PPU and CDSP to deploy AI with confidence.
Featuring: Dr. Arthur Clavière, Collins Aerospace
How can we be confident that a machine learning model will behave safely on data it’s never seen—especially in avionics? In this session, Dr. Arthur Clavière introduces a formal methods approach to verifying maching learning generalization. The talk highlights how formal verification can be apploied toneural networks in safety-critical avionics systems.
💬 Discussion question:
Where do you see formal verification having the biggest impact on deploying ML in safety‑critical systems—and what challenges still stand in the way?
Join the conversation below 👇
🚀 Unlock Smarter Control Design with AI
What if AI could help you design better controllers—faster and with confidence?
In this session, Naren Srivaths Raman and Arkadiy Turevskiy (MathWorks) show how control engineers are using MATLAB and Simulink to integrate AI into real-world control design and implementation.
You’ll see how AI is being applied to:
🧠 Advanced plant modeling using nonlinear system identification and reduced order modeling
📡 Virtual sensors and anomaly detection to estimate hard-to-measure signals
🎯 Datadriven control design, including nonlinear MPC with neural statespace models and reinforcement learning
⚡ Productivity gains with generative AI, powered by MATLAB Copilot
At #9 in our MATLAB EXPO 2025 countdown: From Tinkerer to Developer—A Journey in Modern Engineering Software Development
A big thank‑you to Greg Diehl at NAVAIR and Michelle Allard at MathWorks, the team behind this session, for sharing their multi‑year evolution from rapid‑fire experimenting to disciplined, scalable software development.
If you’ve ever wondered what it really takes to move MATLAB code from “it works!” to “it’s ready for production,” this talk captures that transition. The team highlights how improved testing practices, better structure, and close collaboration with MathWorks experts helped them mature their workflows and tackle challenges around maintainability and code quality.
Curious about the pivotal moments that helped them level up their engineering software practices?
Couldn’t catch everything at MATLAB EXPO 2025? You’re not alone. Across keynotes and track talks, there were too many gems for one sitting. For the next 9 weeks, we’ll reveal the "Top 10" sessions attended (workshops excluded)—one per week—so you can binge the best and compare notes with peers.
Starting at #10: Simulation-Driven Development of Autonomous UAVs Using MATLAB
A huge thanks to Dr. Shital S. Chiddarwar from Visvesvaraya National Institute of Technology Nagpur who delivered this presentation online at MATLAB EXPO 2025. Are you curious how this workflow accelerates development and boosts reliability?
Missed a session or want to revisit your favorites? Now’s your chance!
Explore 42 sessions packed with insights, including:
✅4 inspiring keynotes
✅ 22 Customer success stories
✅5 Partner innovations
✅11 MathWorks-led technical talks
Each session comes with video recordings and downloadable slides, so you can learn at your own pace.
Thank you to everyone who attended the workshop A Hands-On Introduction to Reinforcement Learning! Now that you all have had some time to digest the content, I wanted to create a thread where you could ask any further questions, share insights, or discuss how you're applying the concepts to your work. Please feel free to share your thoughts in the thread below! And for your reference, I have attached a PDF version of the workshop presentation slides to this post.
If you were interested in joining the RL workshop but weren't able to attend live (maybe because you were in one of our other fantastic workshops instead!), you can find the workshop hands-on material in this shared MATLAB Drive folder. To access the exercises, simply download the MATLAB Project Archive (.mlproj) file or copy it to your MATLAB Drive, extract the files, and open the project (.prj). Each exercise has its own live script (.mlx file) which contains all the instructions and individual steps for each exercise. Happy (reinforcement) learning!
Is it possible to get the slides from the Hands-On-Workshops?
I can't find them in the proceedings. I'm particularly interested in the Reinforcement Learning workshop, but unfortunately I couldn't participate.
Thanks in advance!
Great material, examples and skillfully guided. And, of course, very useful.
Thanks!
A toaster that tells jokes
25%
Cinderalla's godmother for cleaning
25%
Humanoid cooks and washes dishes
29%
Oven door opens with wave of hand
4%
Mattress rocks you to sleep
12%
Mirror recommends healthy cosmetics
5%
120 votes
Hi everyone!
I’m Kishen Mahadevan, Senior Product Manager at MathWorks, where I focus on controls and deep learning. I’m excited to be speaking at MATLAB EXPO this year!
In one of my sessions, I’ll share how AI-based reduced order models (ROMs) are transforming engineering workflows—using battery fast charging as an example—making it easier to reuse high-fidelity models for real-time control and deployment.
I’d love to have you join the conversation at the EXPO and right here in the community!
Feel free to drop any questions or thoughts ahead of the event.
Hi, what’s the best way to learn MATLAB, Simulink, and Simscape? Do you recommend a learning path? I work in the Electrical & Electronics area for automotive systems.
Don’t miss out on two incredible keynotes that will shape the future of engineering and innovation:
1️⃣What’s New in MATLAB and Simulink in 2025
Get an inside look at the latest features designed to supercharge your workflows:
- A redesigned MATLAB desktop with customizable sidebars, light/dark themes, and new panels for coding tasks
- MATLAB Copilot – your AI-powered assistant for learning, idea generation, and productivity
- Simulink upgrades, including an enhanced quick insert tool, auto-straightening signal lines, and new methods for Python integration
- New options to deploy AI models on Qualcomm and Infineon hardware
2️⃣Accelerating Software-Defined Vehicles with Model-Based Design
See how MathWorks + NXP are transforming embedded system development for next-gen vehicles:
- Vehicle electrification example powered by MATLAB, Simulink, and NXP tools
- End-to-end workflow: modeling → validation → code generation → hardware deployment → real-time cloud monitoring
📅 When: November 13
💡Why Join? Stay ahead with cutting-edge tools, workflows, and insights from industry leaders.
In the FAQs, I saw the procedure to download the "mobile background", is the the same thing as an award? If yes, good, else how can we get an award and what are the available ones?
iaabdulhameed@knu.ac.kr
Submit your questions about this work in the comment section below.
Glad to have watched the session, especially the part when the speaker, Arthur gave an answer to my question on "speech recognition use case" in Avionics.
Jack and Cleve had famously noted in the "A Preview of PC-MATLAB" in 1985: For those of you that have not experienced MATLAB, we would like to try to show you what everybody is excited about ... The best way to appreciate PC-MATLAB is, of course, to try it yourself.
Try out the end-to-end workflow of developing touchless applications with both MathWorks' tools and STM Dev Cloud from last year!
You can also register this year's EXPO. Join the Hands-On workshops to learn the latest features that make the design and deployment workflow even easier!
AI for Engineered Systems
47%
Cloud, Software Factories, & DevOps
0%
Electrification
13%
Autonomous Systems and Robotics
13%
Model-Based Design
7%
Wireless Communications
20%
15 votes
About MATLAB EXPO
This online event brings together engineers, scientists, and researchers to discover the latest in MATLAB and Simulink through keynotes, technical sessions, and hands-on workshops.
