다음에 대한 결과:
MATLAB EXPO India | 7 May | Bengaluru
Get inspired by the latest trends and real-world customer success stories transforming industries. Learn from trusted experts across 4 tracks.
- AI & Autonomous Systems
- Electrification
- Systems & Software Engineering
- Radar, Wireless & HDL
Register at bit.ly/matlabexpocommunity
Digital Twin Development of PEARL Autonomous Surface System Thermal Management
The top session of the countdown showcases how the PEARL engineering team used a digital twin to solve real‑world thermal challenges in a solar‑powered autonomous marine platform operating in extreme environments. After thermal shutdown events in the field, the team built a model that predicts temperatures at multiple locations with ~1% accuracy, while balancing accuracy with model complexity.
Beyond the technology, this keynote delivers practical lessons for predictive modeling and digital twins that apply well beyond marine systems.
We hope you’ve enjoyed the Top 10 countdown series—and a big thank‑you to Olivier de Weck at Massachusetts Institute of Technology, for delivering such a compelling and insightful keynote.
🎥 If you missed it live, be sure to watch the recording to see why it earned the #1 spot at MATLAB EXPO 2026.
MATLAB EXPO India is Back!
This in-person events brings together engineers, scientists, and researchers to explore the latest trends in engineering and science, and discover new MATLAB and Simulink capabilities to apply to your work.
May 7, 2026 l Bengaluru
Register at bit.ly/matlabexpocommunity
Missed the Cody World Cup Watch Party on March 27—or want to relive the glory?
What you’ll see in the video:
🔥 Top MATLAB users in action
Watch expert solvers think, debug, strategize—and occasionally panic.
Which functions do they reach for? How do they break down the problem?
BEHOLD the power moves… and the 3D arrays.
🏆 Three teams. Six champions. One viciously clever problem.
There may have been NaN traps.
There may have been nested for‑loops.
There may have been… emotions.
🎙️ Professional‑grade commentary by:
@Matt Tearle – Architect of Diabolical Challenges
Their line‑by‑line play‑by‑play turns MATLAB into a true spectator sport.
Finally, tell us what you want to see next—head‑to‑head contests? Team battles? Drop your ideas in the comments. All suggestions welcome!
Hello Community,
Registration is now open for the MathWorks Automotive Conference 2026 North America. Join industry leaders and MathWorks experts to learn about the latest trends in:
- Software-defined vehicles
- Generative AI
- Virtual vehicles
- AI and machine learning
Event details
- Date: April 28, 2026
- Location: Saint John’s Resort, Plymouth, MI
This conference is a great opportunity to connect with MathWorks and industry peers—and to explore what’s next in automotive engineering. We encourage you to register today.
We hope to see you there.
It’s no surprise this keynote landed at #2. MaryAnn Freeman, Senior Director of Engineering, AI, and Data Science explores how AI, especially generative AI, is transforming the way engineers design, build, and innovate. From accelerating the design loop with faster, data‑driven solutions, to blending human creativity with AI insights, to evolving engineering tools that turn ideas into build‑ready systems. This keynote shows how embedded intelligence helps engineers push past traditional limits and bridge imagination with real‑world impact.
If you’re curious about how AI is reshaping engineering workflows today (and what that means for the future of design), this is a must‑watch.
👉 Watch the keynote recording and see why it was one of the most popular sessions of MATLAB EXPO Online 2025.
This is a reminder that the Cody World Cup Watch Party takes place on March 27 at 10:00 AM ET.
We’ll watch how top MATLAB minds solve a fun‑but‑challenging Cody championship‑round problem, followed by a live open discussion with the players.
📅 To join, download the ics calendar file (link updated and no sign‑in required) or copy the meeting link and add it to your calendar!
Software‑defined vehicles are becoming reality—and this #3 ranked session shows how. In this keynote, Daniel Scurtu (NXP) demonstrates how MathWorks and NXP are working together to accelerate system‑level embedded development.
🔋 Using a vehicle electrification demo that runs across multiple NXP processors, you’ll see:
- Model‑Based Design workflows from concept to deployment
- Intelligent battery management and motor control
- Automatic code generation and hardware deployment
- ☁️ Real‑time cloud analytics and over‑the‑air updates
🛠️ Featuring MATLAB and Simulink products alongside NXP tools like Model-based Design Toolbox (MBDT), S32 Design Studio IDE, and Real-Time Drivers (RTD), this session highlights an end‑to‑end approach that reduces complexity and speeds the transition to software‑defined vehicles.
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?
You’re invited to the Cody World Cup Watch Party! Six of the world’s best MATLAB users have advanced to the Cody Contest 2025 Bonus Round to tackle a championship-level Cody problem. Now it’s your chance to watch, learn, and interact with those pros!
📅When & How to Join
Date: March 27, 2026
Time: 10:00 AM Eastern Time
Where: Microsoft Teams (download the ics calendar file or copy the meeting link and add it to your calendar!)
📽 Agenda
Part 1 – Watch Together (25 min)
Watch how those top MATLAB users think, debug, strategize, and occasionally panic😅. Enjoy professional-grade commentary from MathWorks experts as the action unfolds.
Part 2 – Live Discussion (35 min)
Chat directly with those top minds and the problem creator, @Matt Tearle! Reply in the comments with questions you’d like us to ask them.
🧩 Solve the Problem Yourself!
For the best experience, try that Cody problem yourself before the event. Trust us — the discussions are way more fun after you’ve wrestled with it.
Whether you are a beginner or a seasoned expert, this is your chance to see the best in action, pick up MATLAB tips, and have some fun. See you there!
🤖 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
I coded this app to solve the 20 or so test cases included with the Cody problem 'visually' and step-by-step. For extra fun, it can also be used to play the game... Any comments or suggestions welcome!
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?
A coworker shared with me a hilarious Instagram post today. A brave bro posted a short video showing his MATLAB code… casually throwing 49,000 errors!
Surprisingly, the video went virial and recieved 250,000+ likes and 800+ comments. You really never know what the Instagram algorithm is thinking, but apparently “my code is absolutely cooked” is a universal developer experience 😂
Last note: Can someone please help this Bro fix his code?
In 2025, we saw the growing impact of GenAI on site traffic and user behavior across the entire technical landscape. Amid all this change, MATLAB Central continued to stand out as a trusted home for MATLAB and Simulink users. More than 11 million unique visitors in 2025 came to MATLAB Central to ask questions, share code, learn, and connect with one another.
Let’s celebrate what made 2025 memorable across three key areas: people, content, and events.
People
In 2025, nearly 20,000 contributors participated across the community. We’d like to spotlight a few standout contributors:
- @Sam Chak earned the Most Accepted Answers Badge for both 2024 and 2025. Sam is a rising star in MATLAB Answers with 2,000+ answers and 1,000+ votes.
- @Rodney Tan has been actively contributing files to File Exchange. In 2025, his submissions got almost 20,000 downloads!
- @Dyuman Joshi was recognized as a top contributor on both Cody and Answers. Many may not know that Dyuman is also a Cody moderator, doing tremendous behind-the-scenes moderation work to keep the platform running smoothly.
- A warm welcome to @Steve Eddins, who joined the Community Advisory Board. Steve brings a unique perspective as a former MathWorker and long-time top community contributor.
- Congratulations to @Walter Roberson on reaching 100 followers! MATLAB Central thrives on people-to-people connections, and we’d love to see even more of these relationships grow.
Of course, there are many contributors we didn’t mention here—thank you all for your outstanding contributions and for making the community what it is.
Content
Our high-quality community content not only attracts users but also helps power the broader GenAI ecosystem.
Popular Blog Post & File Exchange Submission
- Zoomed Axes, submitted by @Caleb Thomas, enables zoomed-in views of selected regions in a plot.This submission was featured in the Pick of the Week blog post, “MATLAB Zoomed Axes: Showing zoomed-in regions of a 2D plot,” which generated 5,000 views in just one month.
Popular Discussion Post
- What did MATLAB/Simulink users wait for most in 2025? It's R2025a! “Where is MATLAB R2025a?” became the most-viewed discussion post, with 10,000 views and 30 comments. Thanks for your patience — MATLAB R2025a turned out to be one of the biggest releases we’ve ever delivered.
Most Viewed Question
- “How do I create a for loop in MATLAB?” was the most-viewed community question of the year. It’s a fun reminder that even as MATLAB evolves, the basics remain essential — and always in demand.
Most Voted Poll
- “Did you know there is an official MATLAB certification?”, created by @goc3, was the most-voted poll of 2025.While 50% of respondents voted “No”, it’s exciting to see 3% are certified MATLAB Professionals. Will you be one of them in 2026?
Events
The Cody Contest 2025 brought teams together to tackle challenging but fun Cody problems. During the contest:
- 20,000+ solutions were submitted
- 20+ tips & tricks articles were shared by top players
While the contest has ended, you can still challenge yourself with the fun contest problem group. If you get stuck, the tips & tricks articles are a great resource—and you’ll be amazed by the creativity and skill of the contributors.
Thank you for being part of an incredible 2025. Your curiosity, generosity, and expertise are what make MATLAB Central a trusted home for millions—and we look forward to learning and growing together in 2026.
In the sequence of previous suggestion in Meta Cody comment for the 'My Problems' page, I also suggest to add a red alert for new comments in 'My Groups' page.
Thank you in advance.
