On June 8, 2026, Engineering.com is kicking off our third annual Design and Simulation Week. You won’t want to miss it.
This series of webinars, presented by Engineering.com and several of our industry partners, will explore the latest developments in engineering software and give you crucial insight into the ways our profession is evolving.
You’ll learn about the myriad new AI applications in engineering—and whether they’re worth checking out. You’ll get a masterclass on agentic engineering, a crash course in combining multiphysics with AI, and a first-class view of AI optimization in a real-world context. If that’s not enough AI for you, you’ll also have a fireside seat for a compelling vision of the Physical AI era.
It’s harder than ever to keep up with the changes in design and simulation. Do yourself a favor and sign up for Design and Simulation Week 2026, where our speakers will not only catch you up, but lead you ahead.
Here’s the agenda for Design and Simulation Week 2026:
June 8: Climbing the AI ladder in 2026
12:00 PM Eastern Daylight Time
The number of AI applications for design and simulation is exploding this year. You’ve probably noticed.
In this kickoff session for Design and Simulation Week 2026, Engineering.com senior editor Michael Alba will guide you on a fast-paced tour of that explosion, cataloguing the many ways AI is being used in engineering software. You’ll see examples of AI in CAD, CAM, EDA, CFD, and many more three letter acronyms, all on the up-to-date AI ladder for 2026. Every step is a new AI adventure—just don’t look down.
In this webinar, you’ll learn:
- The latest applications of AI in design and simulation.
- How to keep your balance on the AI ladder.
- What to expect from Design and Simulation Week 2026.
June 9: Agentic Engineering Masterclass: Live Simulation and Design Review Workflows
12:00 PM Eastern Daylight Time
Product development teams have grown comfortable with AI assistants—tools that help engineers write faster, search smarter, and generate first-pass outputs. But copilots still depend on a human in the loop at every step. The next shift is already underway: engineering teams deploying autonomous agents capable of coordinating tasks, triggering actions across systems, and scaling expert methods without requiring human intervention at every handoff.
The question is no longer whether AI will transform engineering workflows—it is how to deploy it responsibly, at scale, and in ways that actually stick.
In this masterclass, Jon Wilde, VP of Product at SimScale, and Jeremy Andrews, Co-Founder & CTO at CoLab Software, draw on the agentic engineering strategies being adopted by customers across both platforms to share what works, what does not, and what it really takes to move beyond copilots. They will introduce the architecture of agentic engineering workflows—how AI agents can autonomously manage simulation tasks, route outputs to the right reviewers, coordinate decisions across teams, and learn from each iteration—all grounded in physics-based simulation and connected to the collaboration layer where engineering decisions actually happen.
The session will feature a live demonstration of SimScale and CoLab agents working in concert: a rare look at two independent AI systems operating across organizational boundaries to accelerate a real engineering workflow from simulation setup through to design review and sign-off.
Whether you are just beginning to evaluate agentic AI or are already building a strategy, this masterclass offers the frameworks, honest assessments, and live proof of concept you need to move forward with confidence.
Join SimScale and CoLab Software for a practical, interactive session on building agentic engineering workflows that actually scale.
In this webinar, you’ll learn:
- The core principles of agentic engineering workflows—and how they differ from AI copilots.
- Practical deployment strategies from customers of SimScale and CoLab Software.
- How simulation and collaborative design review connect in an agent-driven workflow.
- How to evaluate your organization’s readiness and identify the right workflows to start with.
June 10: Multiphysics Simulation in the Age of AI: GPUs and Data-Driven Design
12:00 PM Eastern Daylight Time
Multiphysics simulation, enabled by mature numerical methods, is a cornerstone of modern research and product development. Multiphysics simulation can also be used together with emerging technologies in AI, GPU computing, and data-driven design to enhance workflows. In this webinar, we will discuss how simulation supports these technologies and highlight recent advancements in the Comsol Multiphysics software, including its support for GPU-accelerated solvers and building and deploying simulation apps.
The webinar will also cover how simulation data can be used to train machine learning models, helping engineers address the challenge of limited experimental data. In addition, we will discuss how AI techniques can be applied within simulation workflows for tasks such as optimization, parameter estimation, and uncertainty quantification. This technique offers a more integrated approach that combines physics-based modeling with data-driven methods to improve design processes, reduce development time, and inform engineering decisions.
In this webinar, you’ll learn:
- How multiphysics simulation can support emerging technologies such as AI.
- How AI techniques can be applied within simulation workflows.
- About recent advancements in the Comsol Multiphysics software, including its support for GPU-accelerated solvers and building and deploying simulation apps.
June 11: Demystify AI’s Role in Simulation
12:00 PM Eastern Daylight Time
Engineering teams face a recurring challenge: design decisions often become fixed before the full design space has been explored. As requirements evolve and timelines compress, iteration shifts later in the cycle—where rework is slower, costlier, and riskier. This webinar focuses on design acceleration with AI as a practical, engineer-led workflow rather than a “black box” solution.
Join Swoosh Technologies and guest speakers as we demystify AI’s role in engineering. Far from replacing engineers, AI serves as a productivity tool that strengthens engineering judgment. Attendees will get a “passenger-seat” view as our speakers walk through an aircraft flap optimization workflow, showcasing the powerful combination of AI, optimization algorithms, and computational fluid dynamics (CFD). Together, these tools accelerate design-space exploration and deliver actionable insights to support engineering decisions.
In this webinar, you’ll learn how to:
- Build a parametric CFD simulation workflow that enables optimization and AI-driven exploration.
- Integrate optimization algorithms to systematically explore the design space and quantify trade-offs.
- Accelerate design-space exploration using trained AI models to identify high-potential configurations faster.
- Adapt the AI-assisted optimization workflow to real-world constraints, including geometry limits, performance targets, and engineering requirements.
June 12: The End of Downstream DFM: A Vision for the Physical AI Era
12:00 PM Eastern Daylight Time
For decades, design for manufacturing has been treated as a gate, not a guide. Engineers optimize for performance, simulate for stress and thermal behavior, and hand off downstream to flag what cannot actually be built. Every loop is expensive. Design changes cost roughly 100x more in production than at concept, and a six-month launch delay can erase a third of a product’s lifetime profit. Yet the industry’s standard response has been to add more checks at the end rather than rethink the workflow itself. It is a band-aid on a leaky bucket.
The deeper issue is an assumption hiding in plain sight. Today’s tools still expect engineers to imagine, with reasonable accuracy, how every part will be manufactured across every modern process, then verify it later. That assumption breaks at scale. Performance-optimized designs that cannot be sourced, scaled, or shipped become a tax on every team that touches them, including the engineers themselves. Today’s digital-native talent will not tolerate a third or fourth loop through problems that smarter tools should have caught upstream.
In this fireside chat for Engineering.com’s Design and Simulation Week, InfinitForm offers a visionary take on what comes next. Generative AI changed how engineers explore design space. Physical AI is the next leap: manufacturability intelligence woven into the moment geometry takes shape, not bolted onto the end of the workflow. We will share why the future of engineering software is not better checks at the end, but a fundamentally new kind of design partner, and what that shift means for mechanical engineers, industrial designers, and engineering managers building the products of the next decade.
In this webinar, you’ll learn:
- Why the future of engineering software is not better checks at the end, but a fundamentally new kind of design partner.
- What Physical AI is and why it is the next leap beyond Generative AI.
- The strategic advantage of seeing optimized designs across multiple manufacturing methods upfront.
Don’t miss out! Register now for Engineering.com’s Design and Simulation Week 2026.