Startup @reflexionmed developed radiotherapy that allows each cancer’s unique biology to autonomously determine how much radiation to deliver, improving the treatment precision.
Learn how MATLAB helped build out the complex algorithm stack: spr.ly/6013BEKZ09
You have a free kick with the whole world watching...what shot are you taking: bend it round the wall (curler), or batter it straight through (driven)?
The Lorenz system is a classic example of the “butterfly effect,” where small changes in initial conditions lead to very different outcomes. In this visualization, we simulated the Lorenz attractor using MATLAB and Claude with 10 slightly varied starting points.
Classic vibration problem, modern workflow 👇
A quarter-car model driven into resonance, with and without a tuned mass damper.
📈 No absorber → resonance dominates
📉 With absorber → body motion drops by 50%+
Built two ways: a MATLAB animation and a Simscape model created using an agentic workflow. Matching results = independent verification ✅
More: spr.ly/6016BEKbGe
How can Agentic AI help engineers develop embedded systems with Model-Based Design?
Brian Douglas breaks down how to use agentic AI alongside MATLAB and Simulink to design and control an inverted pendulum (Quanser Qube-Servo and @Raspberry_Pi)
128 GB of memory is nice, but you can get started with local agentic AI workflows with much less.
By connecting gemma 4 in @lmstudio to MATLAB MCP Server, you can run a local AI model that uses MATLAB as a tool on a 16 GB RAM MacBook Pro.
🔗 spr.ly/6010BD2aXC
The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
Here is an example of a triple inverted pendulum cart simulation made with the Agentic Toolkit!
GenAI and agentic AI are enabling automotive engineers to develop complex systems more effectively than ever. The challenge?
Keeping a human in the loop to ensure accuracy. #AgenticAI