Date/Heure:
Thursday, September 24, 2026 02:00 PM
Langue:
Anglais
Durée:
1 heure
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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