“It’s about creating an evaluable, iterative model of improvement so you improve AI models with data from synthetic data as well as AI usage. And it is about making sure it’s safe ...

Provides a cost-efficient and adaptable solution for organizations of varying sizes, ensuring broad applicability. • Empirical results show significant improvement in ROI analysis accuracy (up to 95%) ...

What is the new about VARGPT-v1.1? Compared with VARGPT, VARGPT-v1.1 has achieved comprehensive capability improvement. VARGPT-v1.1 integrates: (1) a novel training strategy combining iterative visual ...

We presented an EMPirical model Informed Neural Network (EMPINN) approach for core loss modeling of soft ferrites for the 2023 MagNet Challenge. In this work, we have radically improved our approach ...

Abstract: We introduce a model-free hidden sequence (MHS) estimation problem where the task is to estimate ... recurrent neural network (RNN)-based method called DANSE (data-driven nonlinear state ...

For recommended options and installation troubleshooting, see the pygraphviz docs. Then to install erdantic and its Python dependencies from PyPI: First, make sure that the data model classes that you ...