SciEngineer

23/10/2026

How can automotive software teams accelerate development without compromising safety, reliability, or traceability?

Explore how integrating C/C++ software verification into daily development and continuous integration pipelines can help detect issues early and reduce integration risk. Discover how testing and static analysis support consistent software quality across model-based, handwritten, and AI-assisted development.

📅 October 28 | Online webinar by MathWorks

Register here:

Automotive software teams building software‑defined vehicles must deliver complex embedded software faster—without compromising safety, reliability, or traceability. Traditional, late‑stage verification approaches cannot scale with modern development velocity or continuous integration practice...

21/10/2026

AI is becoming a standard component in embedded systems, but how can engineers ensure that AI models behave correctly as part of the full system?

Explore how Embedded AI with MATLAB and Simulink enables engineers to import AI models, validate behavior through system-level simulation, and generate production-ready embedded code for MCUs. Discover how the MATLAB MCP Server brings agentic AI tools into the workflow, enabling AI agents to execute code, run tests, and access toolbox capabilities.

📅 October 27 | Online webinar by MathWorks
Register here:

AI is becoming a standard component in embedded systems but getting a model to run reliably on resource-constrained hardware, alongside control logic and signal processing, remains an engineering challenge.

20/10/2026

More than 356,000 end users. About 170 anomalies identified per week.
That is what predictive maintenance can look like when existing grid data is turned into actionable engineering information.

In a case featured in our new white paper, Elektro Ljubljana uses 10-minute averaged smart-meter voltages and meter events to identify abnormal patterns across its low-voltage network.

The point is not simply to apply machine learning.
A useful predictive-maintenance workflow has to connect data to a specific asset state or failure mechanism, validate the result on representative evidence, and deliver information early enough to influence a real maintenance decision.

Predictive Maintenance of the Electric Grid explores that full chain: data integration, condition indicators, data-driven and physics-based models, validation, prioritization, and the path from pilot to deployment.
For utilities, asset managers and engineering teams evaluating where predictive maintenance can create practical value, the paper provides a structured starting point.

Download the white paper: https://sciengineer.com/predictive-maintenance-of-the-electric-grid/

15/10/2026

Join MATLAB EXPO Online 2026 to connect with MathWorks and industry experts to learn about the latest trends and advancements in engineering and science. You will discover new features and capabilities for MATLAB and Simulink that you can immediately apply to your work.

Register and secure your seat:

Join industry leaders and MathWorks engineers at MATLAB EXPO Online 2026 on November 4–5 to get the latest information about AI, electrification, autonomous systems, and Model-Based Design.

09/10/2026

COMSOL is now the Official Multiphysics Partner of the ABB FIA Formula E World Championship!

As COMSOL’s partner, we’re excited to see simulation technology take center stage in electric motorsport, where engineering innovation and performance go hand in hand.

We’re looking forward to following this collaboration and seeing what it brings to the track! ⚡

Read the announcement: https://tinyurl.com/4y5y5arh

COMSOL is the Official Multiphysics Partner of the ABB FIA Formula E World Championship. Learn about this partnership in the press release.

07/10/2026

SDV Engineering Series | Season 1: Building an AUTOSAR Adaptive Application with Agentic AI

What happens when a new requirement arrives after the software is already deployed?

In the final chapter of the series, we look at how a new service component can be added to the architecture and delivered to a Raspberry Pi already running in the field through an over-the-air update.

This demonstrates how service-oriented architecture can support extending a deployed application without physically reconnecting to the device.

The 3-part series follows the development process from architecture and implementation through verification, deployment and over-the-air updates.

Get access to the full 3-part SDV Engineering Series: https://sciengineer.com/sdv-engineering-series-season-1-building-an-autosar-adaptive-application-with-agentic-ai/

Follow a real software-defined vehicle engineering workflow using System Composer, Simulink and Agentic AI, from architecture to Over-the-Air updates.

05/10/2026

Did you know that universities can invite us to join an existing course with a guest lecture or workshop on , , and ?

That’s exactly what we did at John Von Neumann University in Kecskemét, Hungary, a long-standing MATLAB Campus-Wide Access university. As part of an existing course, we gave a guest session on MATLAB, Simulink, and MATLAB/Simulink Agentic AI.

Students explored how AI agents can interact with the engineering tools they already use through technologies such as the MATLAB MCP Server and MATLAB/Simulink Agentic Toolkit, opening up new ways for AI to support the tools engineers use in their everyday work.

The session brought together students from Engineering Informatics, Vehicle Engineering, and Mechanical Engineering, with outstanding participation and a full auditorium. A great indication of how relevant these topics are for the next generation of engineers.

Thank you to John Von Neumann University for the invitation and to all the students who joined us!

If you have a relevant course and would like to bring MATLAB + AI into your classroom, get in touch with our team 👉 https://sciengineer.com/academic-use/matlab-campus-wide-license/

30/09/2026

SDV Engineering Series | Season 1: Building an AUTOSAR Adaptive Application with Agentic AI

What happens after defining the architecture of an AUTOSAR Adaptive application?

The next step is verification and deployment.

Chapter 2 of the SDV Engineering Series shows how a separate AI Agent supports verification against requirements, before moving from design to a working application on real hardware.

We also prepare for OTA updates from day one, laying the foundation for the final step of the journey in Chapter 3.

Follow the complete 3-part engineering series, from architecture and development to verification, deployment and over-the-air updates.

Get access to the full 3-part SDV Engineering Series: https://sciengineer.com/sdv-engineering-series-season-1-building-an-autosar-adaptive-application-with-agentic-ai/

Follow a real software-defined vehicle engineering workflow using System Composer, Simulink and Agentic AI, from architecture to Over-the-Air updates.

23/09/2026

Can Agentic AI become a reliable part of automotive development?

Explore the SDV Engineering Series | Season 1: Building an AUTOSAR Adaptive Application with Agentic AI, a hands-on engineering walkthrough of a complete SDV development workflow using Model-Based Design and Agentic AI, from architecture to deployment and over-the-air updates.

Across the 3-part journey, you'll see how to:

• Set up the Agentic AI workflow in MATLAB & Simulink
• Define the software architecture
• Build and deploy the application
• Update it in an SDV context

The focus is on how Agentic AI can be integrated into the development process while keeping engineering decisions structured, traceable and verifiable.

Get free access to the full 3-part series:

👉 https://sciengineer.com/sdv-engineering-series-season-1-building-an-autosar-adaptive-application-with-agentic-ai/

22/09/2026

COMSOL Multiphysics 2027 is on the horizon! The new release puts a strong focus on two areas that are becoming increasingly important in engineering: system-level modeling and agentic AI.

🔹 COMSOL Systems connects system-level models with detailed 1D, 2D, and 3D multiphysics models, helping engineers explore how individual components influence overall system performance.

🔹 The new COMSOL MCP Server allows AI agents to interact with COMSOL Multiphysics through the COMSOL API, supporting tasks such as building and modifying models, running simulations, and analyzing results.

The release also introduces an Electric Motor Module, Application Builder support for macOS and Linux, a faster time-periodic solver, and several other updates.

We’re looking forward to exploring what Multiphysics 2027 brings to engineering simulation.

Read the full announcement:

The upcoming release includes new add-on products for utilizing system diagrams and modeling electric motors, as well as extended support for integrating AI tools and building apps.