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Curious about what’s new in engineering and science with @MATLAB and Simulink? MATLAB EXPO is a chance to hear directly from MathWorks and industry experts about recent updates and practical tools you can use right away. Check it out 👉 spr.ly/6013Ax5Rt #MATLABEXPO
Have you ever watched tennis and wondered how the line calls are automated? It starts with object detection 🎾 In MATLAB, you can interactively label shapes or regions of interest with the Video Labeler app ➡️ spr.ly/6014Ax5Ko
Generate C/C++ code from machine learning apps ⤵️ Learn more about these AI capabilities 👉 spr.ly/6013AtWFX
MATLAB Copilot is here! Watch how the new features make coding smarter and faster. More info here 🔗 spr.ly/6019AtW5F
Want to know what's changing in MATLAB? From a refreshed desktop layout to new ways to manage figures and enhance live scripts, these updates are designed to help you work more efficiently. See what's new ➡️ spr.ly/6012AUU1n
To the 🌗 and back Celebrate #WorldSpaceWeek by visualizing the lunar cycle with this interactive Moon phase graphic 🌕 Code it ➡️ spr.ly/6017AiqTh
Use Cesium 3D Tiles with MATLAB for photorealistic virtual testing at ZalaZone Proving Grounds Learn how 🔗 spr.ly/6016AcxiO
MATLAB Expo is back! Explore the latest in MATLAB and Simulink, connect with experts, and see innovation in action. Save the date ➡️ spr.ly/6013AgpMc
Modular development can transform your workflow, making your apps easier to build, test, and maintain. Learn how to break your app into clean, reusable components using App Designer and modularization techniques ⤵️ Watch the rest of the series: spr.ly/6011AjBib
👂 What if you could redesign your city to sound better? A student team from FH Aachen used sound simulation in MATLAB to win the Smart City Hackathon 🔗 spr.ly/6012AGSSm
See how Simulink is used to run a construction backhoe simulation 🚧 Learn how to simulate construction vehicles: spr.ly/6013AbJaf
Train in MATLAB on Google Colab, export to TensorFlow or ONNX, and call the model from Python. All within the same environment. This step-by-step guide shows how to install MATLAB with MPM, train a deep learning model, export it, & validate in Python 👉 spr.ly/6017AkcWx
ML models don’t all think alike 🤖 ❇️ Naive Bayes = probability ❇️KNN = proximity ❇️ Discriminant Analysis = decision boundaries Different paths, same goal: accurate classification. Which one do you reach for first?
#NationalCodingWeek is the perfect time to learn new skills and brush up on old ones 💡 Head to the MATLAB Academy for self-paced online courses 👇 spr.ly/6014ARHrG
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