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Bringing Simulation Within Reach: Maximizing Value for R2R Systems
Wednesday, September 16, 2026 02:00 PM
Language:
English
When applying simulation to improve a roll-to-roll (R2R) process, the specific steps and goals vary by company. Even so, there are common first steps and proven principles for success that apply across converting processes and web handling machinery.
In this session, you will learn what it takes to build and validate a practical simulation model - including the information needed, the skillsets involved, and the insights that can be gained. Drawing on examples from the MapleSim web handling simulation tool, the talk will demonstrate how simulation supports tension management and control strategies, enabling teams to test and refine system responses safely, efficiently, and without production risk.
Attendees will gain a clear, grounded view of how simulation can be adopted effectively: where it delivers immediate value, where additional investment may be required, and how to move forward with confidence.
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Boosting Productivity with AI in Maple
Thursday, September 24, 2026 02:00 PM
Language:
English
AI is opening up new ways to work with mathematics, from generating code and visualizations to turning existing mathematical content into something you can compute with. But when mathematical accuracy and repeatability matter, an AI-generated response on its own may not be enough.
In this webinar, we’ll explore the latest AI-based features in Maple, designed to support mathematical work while maintaining access to reliable computation. Central to this is the Model Context Protocol (MCP), which gives an LLM access to Maple’s mathematical computation, allowing it to produce results that are accurate and repeatable.
We’ll also explore how back-and-forth interaction with an LLM can make Maple’s capabilities easier to access, lowering the learning curve for generating usable code and visualizations. Beyond conversational AI, we’ll look at AI-powered features in Maple that can import mathematical expressions from images and digitize handwritten documents so the mathematics can be explored, manipulated, and computed with in Maple.
Whether you use mathematics in teaching, research, or professional work, this session will provide a practical look at how AI and Maple can work together.
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