2025-10-02 –, Robert Faure Amphitheater
Language: English
Dyad is a new language for industrial modeling and simulation built by JuliaHub. In this talk we will introduce the audience to Dyad and its capabilities for building high-fidelity hybrid models, integrating acausal continuous simulation with discrete synchronous forms, for optimizing control laws and generating code for embedded devices. We will showcase some of the many features of Dyad, such as generative AI integration with specialized MCP servers for accurate model translation and generation from natural language, scientific machine learning (SciML) features for learning models from data, and integrated tools for control synthesis and analysis. Importantly, we will showcase how the Dyad is built on a foundation of the Julia open source ecosystem, and demonstrate how Julia is a fundamental scripting language for the Dyad experience and how this helps propel the features and usability of the environment beyond traditional modeling tools.
Sponsor talk by JuliaHub (https://juliahub.com/).
Dr. Chris Rackauckas is the VP of Modeling and Simulation at JuliaHub, the Director of Scientific Research at Pumas-AI, Co-PI of the Julia Lab at MIT, and the lead developer of the SciML Open Source Software Organization. For his work in mechanistic machine learning, his work is credited for the 15,000x acceleration of NASA Launch Services simulations and recently demonstrated a 60x-570x acceleration over Modelica tools in HVAC simulation, earning Chris the US Air Force Artificial Intelligence Accelerator Scientific Excellence Award. See more at https://chrisrackauckas.com/. He is the lead developer of the Pumas project and received a top presentation award at every ACoP from 2019-2021 for improving methods for uncertainty quantification, automated GPU acceleration of nonlinear mixed effects modeling (NLME), and machine learning assisted construction of NLME models with DeepNLME. For these achievements, Chris received the Emerging Scientist award from ISoP.