- MATLAB Copilot + Gemini – Generate Full Simulink Models with One Sentence.
response = matlab.copilot.ask("Build a complete Simulink model of a quadcopter with PID altitude control");
openModel(response.modelName); - YOLOv11 on NVIDIA Jetson Orin – 45 FPS Real-Time Detection.
detector = yolov11ObjectDetector("yolov11n",classes); cfg = coder.config('lib'); cfg.Hardware = coder.hardware('NVIDIA Jetson'); cfg.DeepLearningConfig = coder.DeepLearningConfig('tensorrt'); codegen -config cfg yolov11Detect -args {ones(640,640,3,'uint8')} -
Battery Digital Twin with State-of-Health Prediction.
layers = [sequenceInputLayer(8); lstmLayer(256,'OutputMode','sequence'); gruLayer(128); fullyConnectedLayer(1); regressionLayer]; net = trainNetwork(XTrain,YTrain,layers,options); sim('BatteryDigitalTwin_2025b.slx') - Agentic AI That Designs Heat Exchangers Automatically (MCP Server).
mcpServer = mcp.CoreServer(); mcpServer.start(); mcpServer.addTool(mcp.Tool(@runHeatExchangerSimulink,"name","HX_simulator")); agent = mcp.Agent("claude-3-5-sonnet-20241022",mcpServer); agent.run("Design a plate heat exchanger for 500 kW duty, max ΔT 3°C"); -
6G AI-Native Beamforming with New SADEA Optimizer.
array = phased.URA([16 16],0.5); optimizer = comm.SADEAOptimizer('Element',array); w = optimizer.optimize(@(w)-spectralEfficiency(w,array,users)); pattern(array,30e9,-180:180,-90:90,'Weights',w); -
Diffusion Model – Generate Unlimited Synthetic Sensor Data
diffModel = diffusionModel('unet1d',SequenceLength=1000,NumChannels=12); train(diffModel,sequences); newSignals = generate(diffModel,500); -
LLM-Powered Fault Diagnosis Chatbot Inside MATLAB.
chat = matlab.llm.Chat("gpt-4o-mini"); chat.addTool(@readPLCdata); chat.addTool(@runFaultClassifier); response = chat.ask("Bearing temp 12°C high, vibration RMS +40%. What’s wrong?"); disp(response); -
Reinforcement Learning – Autonomous Drone Racing (Sim-to-Real)
env = rl.createEnv(@droneRacingEnv); agent = rlDDPGAgent(actor,critic); train(agent,env,'MaxEpisodes',3000); -
Multi-Agent Factory Layout Optimization with OpenAI Swarm.
swarm = openai.Swarm("gpt-4o"); agents = swarm.createAgents(10,"factory_layout_expert"); result = swarm.run(agents,"Optimize this factory for max throughput and lowest energy");
Top 9 Cutting-Edge MATLAB AI & Digital Tech Projects for 2025–2026
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9 latest MATLAB AI & digital tech projects for 2025–2026 with complete copy-paste code: Agentic AI, 6G beamforming, digital twins, YOLOv11 on Jetson, diffusion
