Technology Showcase

Accelerating Automotive Intelligence: ROM, Virtual Sensors, and Edge AI

• AI-Trending Applications in Automotive
• Virtual Sensor Modeling: Low-Code/No-Code AI Workflow
• Reduced Order Modeling
• Embedded AI

AI-Assisted Engineering with Copilots and Agentic Automation

• Integrate cloud LLMs with the MATLAB numerical environment to accelerate engineering work.
• Support AI‑assisted coding, testing, and documentation with MATLAB Copilot.
• Integrate AI agentic workflows with MATLAB MCP Core Server.

Trustworthy AI for Real-Time Fleet Health Monitoring

• Accelerated Fault Diagnostics with Automated Machine Learning
• Trustworthy AI for Engineering Decision-Making
• Real-Time Fleet Health Monitoring via Microservice Workflows
• Geospatial Visualization of Fleet Operations

Transforming Healthcare with MATLAB: Medical Imaging and AI from Development to Deployment

• End‑to‑End AI Workflow: Import medical data (DICOM, NIfTI, TIFF), preprocess images, annotate regions of interest, train deep learning models, and deploy production‑ready solutions.
• Interactive Medical Visualization: Use MATLAB based applications for advanced 2D, 3D, and volumetric visualization with overlays and result comparison.
• Testing, Validation, and Explainability: Model testing, verification, and built‑in explainability tools to support clinical confidence and regulatory workflows.

Empowering Educators: Creating MATLAB Grader Problems with MATLAB Copilot

• Scale automatic grading with MATLAB Grader.
• Generate assessment drafts faster with MATLAB Copilot.
• Modernize instructor-led courses and assessments with MATLAB.

Wireless Network Simulation

• Wireless System Simulation: Model 5G, WLAN, Bluetooth, hybrid, and ad hoc networks; evaluate metrics like throughput, latency, and packet loss.
• Network Digital Twin: Combine 3D scenarios, RF propagation, and system-level simulation for network planning and validation.
• Coexistence Analysis: Study interference between technologies such as WLAN and Bluetooth and develop mitigation strategies.
• Protocol Research: Design and evaluate cross-layer algorithms and compare protocol strategies.

Satellite Communication Signal Generation, Over-the-Air Transmission, and Analysis Using MATLAB

• End-to-End Satellite Communication Workflow: Generate DVB-S2 satellite signals in MATLAB, transmit them over the air using a Keysight^® vector signal generator, and capture them using a signal analyzer.
• MATLAB RF Instrument Integration: Use Instrument Control Toolbox to directly control and automate Keysight RF test equipment from MATLAB for rapid wireless system prototyping.
• Signal Analysis and Physical Layer Validation: Decode captured signals and perform baseband analysis in MATLAB to evaluate real-world satellite communication performance.

Designing RF/Antenna Systems for Wireless and Radar Applications

• Antenna-Satcom Integration
• RF Vendor Parts Integration
• AI and Optimization
• PCB Database Import and Visualization

Accelerate ASIC HDL Verification with MATLAB

• Automated testbench generation to simplify and speed up verification.
• Advanced simulation features for efficient HDL code development and validation.
• Seamless integration with popular EDA tools for a streamlined workflow.

Visualize People Tracking Using TI mmWave Radar Boards with Processor-in-the-Loop (PIL) Simulation

• Live visualization of real-time people tracking on a TI mmWave radar board, with algorithms running on the hardware.
• Accelerate algorithm development and hardware deployment using MATLAB, Simulink, and Radar Toolbox with a robust processor-in-the-loop (PIL) workflow.
• Rapidly design, test, and validate radar-based solutions for safety, robotics, and industrial monitoring.

Aerial Object Detection and Surveillance

• Micro‑Doppler–Driven Classification for Aerial Object Surveillance
• Low-Altitude Target Tracking with Multi-Radar Fusion
• Wide-Area Surveillance Using Ground and Airborne Radars

Digital Engineering Ecosystem for Aerospace and Defense Mission Engineering

• Model and Simulate Mission Elements
• Integrate and Simulate Missions
• Scale and Optimize Missions

Hardware-in-the-Loop Simulation for eVTOL UAVs

• Run UAV HIL simulations for eVTOL vehicles.  
• Follow a mission provided from QGC.  
• Have manual control with RC Joystick (transmitter and receiver). 
• Execute a mission hardcoded in Simulink and photorealistic simulation. 
• Use ArduPilot^® to design position and attitude controllers.   

Autonomous Landing of UAV on a Moving Ship

Develop and test integrated aerospace and maritime applications in MATLAB and Simulink.

• High-Fidelity Simulation: Integrates Unreal Engine^®, Simulink 3D Animation, and sensor models to realistically simulate UAV landings on moving ships in maritime environments. 
• Modular and Customizable: Supports flexible replacement of assets, sensors, and algorithms to align with customerspecific workflows.
• Rapid Validation: Enables lidar data processing, navigation testing, and fast iteration of control strategies without physical trials.

Model-to-Deployment Workflow for Motor and Power Control on STM32 MCUs

• Demonstrate end-to-end electrification workflow enabled by the STM32 Microcontroller Blockset (New product released in R2026a).
• Multiple PMSM motor-control techniques: FOC sensored, FOC sensorless, FOC position estimation with AI running on STM32 MCU.
• Simulation and deployment with STM32-based totem-pole PFC power conversion kit.

Enabling Electrification Through Simscape

• Multiple published workflows in renewables, microgrids, data center and other power system topics

Transportation Electrification Solutions

• Multiple published workflows in automotive and aero domains: eVTOL, BEV, eDrives

FPGA Implementation of a Real‑Time Synchronous Buck Converter

• Model a high‑speed synchronous buck converter using Simscape for FPGA deployment.
• Partition the design for real‑time deployment, with the FPGA running the fast‑switching subsystem and the CPU handling slower tasks like signal logging.
• Generate HDL code and deploy to Speedgoat^® real-time target computer.

2W EV BMS Demo with C2000 Microcontroller Blockset and TI 48V BMS Kit

See Battery SoC Estimation in 2W EVs:

• Model and simulate battery cells SoC estimation
• Interface TI's Analog Front End device for 2W EV BMS with C2000 MCUs
• Automatically generate embedded C code from model and deploy to TI C2000^™ MCUs

Scale Up Electric Vehicle Architectures for Faster Prototyping, Testing, and Deployment

Explore an end‑to‑end workflow for scaling electric‑vehicle architectures, addressing product variability while accelerating prototyping, verification, and deployment.

• Leverage modular development of electric‑vehicle architectures to scale up efficiently, eliminating copy‑paste debt and reducing the validation burden for common components.
• Review large variant systems and test desired vehicle variants directly from the top‑level architecture, accelerating V&V workflows for large multivariant systems.
• Automatically reduce the architecture into deployable and shareable vehicle‑specific software models, minimizing manual effort and human error.

Developing ADAS Algorithms Using Real-World Traffic with Scenario Builder and Reinforcement Learning

• Recreate real-world scenarios from recorded data for automated driving simulation.
• Develop, test, and validate automated driving algorithms in a simulation environment.

Designing and Deploying Service‑Oriented Architectures (SOA) with Simulink

Discover how the Simulink product family supports SOA-based development—from modeling through deployment.

• Model message-based communication for service interactions.
• Design and deploy Adaptive AUTOSAR^® software components aligned with SDV needs.
• Generate and deploy production-quality C++ code with Adaptive middleware interfaces.
• Simulate heterogenous architectures using Simulink and System Composer.
• Leverage vECU for functional and system SIL.

Develop and Deploy Digital Twins in the Cloud

• Combine physics-based modeling with data-driven analytics to enable scalable digital twin development in the cloud, integrating real and synthetic data while accelerating insights, anomaly detection, and deployment through modern DevOps.
• Leverage telematics data from duty cycle analysis and automated reports via MATLAB apps (data analytics team).
• Get multi-team access to centralized Simulink models in the cloud (powertrain team).
• Use field data for cloud-based validation of FMU and Simulink models (validation team).

AUTOSAR CDD Development and Deployment from Simulink to Infineon AURIX Processors

End‑to‑end workflow showcasing motor control using AUTOSAR Complex Device Drivers on Infineon AURIX^™.

• AUTOSAR ASW and CDD‑based fast control loops modeling, simulation and code generation.
• MCAL integration for ADC, PWM, DIO, and UART with Custom RTE.

Simulink Copilot

• Use Simulink Copilot for generative AI-powered capabilities focused on Simulink and Model-Based Design.
• Use Simulink Copilot to explain models and errors, learn tools and techniques, get design guidance, and automate predefined tasks.

Test Smarter, Release Faster: See Polyspace Products in Action

• Polyspace Copilot: Your AI Partner for Safe and Secure Code in Early Development
• Polyspace Test: From Host to Hardware—Your Testing Fast Lane
• Leverage AI-powered insights to commit with confidence, catch vulnerabilities early, and push robust code through your development pipeline using static testing.
• Maximize code coverage, reduce manual effort, and deliver reliable results—faster than ever using dynamic testing.
• Get certification support for both static and dynamic testing for ISO 26262, DO-178, EN 50128, and IEC 61508 standards.