NeuralFMU: Towards Structural Integration of FMUs into Neural Networks

(15:1econd)

GPU4GEO: Frontier GPU Multi-physics... | L Räss, S Omlin, A de Montserrat, B Kaus | JuliaCon '2022

(8:59)

OHBM 2024 | Oral Session | Giuseppe Gallitto | Towards generative AI-based fMRI paradigms: reinfo…

(11:44)

Using NeuralODEs in Real Life Applications | JuliaCon 2023

(2:59:32)

NEW Knowledge Graph based RAG: SimGRAG (no training)

(18:42)

Accelerating Functional Mock Up (FMU) Models

(42:13)

Manuel Blum:Towards the Design of an Automated Physicist

(48:23)

Michael O'Boyle: An fMRI-Based Exploration of Neural Correlates

(12:51)

Daniel Sharoh: Layer-fMRI activation and connectivity in left inferior frontal cortex during reading

(20:55)

Towards Machines that Perceive and Communicate

(1:21:56)

Ming Lin - Differentiable physics for learning and control

(27:54)

Rose Yu: Towards Generalizable Deep Dynamics Learning

(1:3:30)

Romain Duprat, Precision Functional Mapping for Individualized Neuromodulation

(6:16)

Modia - Equation Based Modeling and Domain Specific Algorithms

(15:7)

Use of SSP, FMI and OSI for Simulation-based Testing of an Automated Vehicle

(15:12)

Functional MRI of dynamic neural and physiological states

(59:21)

Ufuk Topcu: Multi-Modal, Pre-Trained Models in Verifiable Sequential Decision-Making (Metacog. AI)

(27:25)

The Future Of LLM Training Is Federated

(23:42)