Physics-Informed Neural Networks (PINNs) - Co...

🔗 Connect with Seth DeLand on LinkedIn: https://www.linkedin.com/in/seth-deland/In this episode, we sit down with Seth DeLand, Product Manager for Generative AI at MathWorks, to explore how agentic AI is transforming engineering workflows in 2026 and beyond.We discuss the evolut ...  Show more

🔗 Connect with Christian on LinkedIn: https://www.linkedin.com/in/christian-bauernfeind-b42532304/In this episode, we sit with Christian Bauernfeind, Head of Test Department at ABM, as he shares how ABM’s test department combines test benches and simulation to develop more effic ...  Show more

<span class="s1">RNNs are a class of deep learning models designed to capture sequential behavior.<span class= "Apple-converted-space"> </span> An RNN trains a set of weights which depend not just on new input but also on the previous state of the neural network.<sp ...

In this episode of our podcast, we dive deep into the fascinating world of Graph Neural Networks.

First, we explore Hierarchical Networks, which allow for the efficient representation and analysis of complex graph structures by breaking them down into smaller, more mana ...

In this episode, I explore the cutting-edge technology of graph neural networks (GNNs) and how they are revolutionizing the field of artificial intelligence. I break down the complex concepts behind GNNs and explain how they work by modeling the relationships between data poin ...

The intersection between cutting-edge neuroscience and the emerging field of network science has been growing tremendously over the past decade. Olaf Sporns, editor of Network Neuroscience, and Distinguished Professor, Provost Professor of Department of Psychological and Brain Sc ...  Show more