episode-header-image

Apr 2024

1h 5m

Physics-Informed Neural Networks (PINNs)...

About this episode

Up next

Agentic AI for Engineers & How MATLAB & Simulink Workflows Are Changing - Seth DeLand | Podcast #171

🔗 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

How Simulation Is Transforming Design & Development at ABM - Christian Bauernfeind | Podcast #170

🔗 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

Why Simulation Is Moving to SaaS and the Cloud - Joel Davison | Episode #169

🔗 More from Siemens: Multi-domain simulation - Unparalleled engineering excellence: https://blogs.sw.siemens.com/simcenter/multi-domain-simulation-simcenter-x/Riding the innovation bullet train: Simcenter X HPC: https://blogs.sw.siemens.com/simcenter/simcenter-x-hpc-aws-hpc7g/Si ... Show More

Recommended Episodes

Machine learning is physics (Ep. 211)

<p>What if we borrowed from physics some theories that would interpret deep learning and machine learning in general? Here is a list of plausible ways to interpret our beloved ML models and understand why they works, or they don't. Enjoy the show! </p> Our Sponsors <p>No ... Show More

MLG 009 Deep Learning

MLG 004 Algorithms - Intuition

<div> <p>Machine learning consists of three steps: prediction, error evaluation, and learning, implemented by training algorithms on large datasets to build models that can make decisions or classifications. The primary categories of machine learning algorithms are supervised, un ... Show More

Understanding Neural Networks

252. Science and English Learning: Research Backed Tips and Tricks to Help You Study! (English Vocabulary Lesson)

Peter's Film Course - https://thinkinginenglish.as.me/peters-film-course Thinking in English Classes Website - https://thinkinginenglish.link/ --------- What insights can science provide about language learning? And how can we use this research to learn English? Keep l ... Show More

AI that connects the digital and physical worlds | Anima Anandkumar

While language models may help generate new ideas, they cannot attack the hard part of science, which is simulating the necessary physics," says AI professor Anima Anandkumar. She explains how her team developed neural operators — AI trained on the finest details of the real worl ... Show More

How to Use your Default Neural Network

In this episode of Smarter With Sid, host Siddharth Deshmukh talks about the concept of Neural Networks! he explains in simple words how Neural Networks work, and how we can put them to best use! You can follow Siddharth Deshmukh on LinkedIn: https://www.linkedin.com/in/sideshmuk ... Show More

Making Data Meaningful: Constructing a Flight Simulator for Nurses

In this episode, Dr. Shannon Butts (Senior Learning Designer at Elsevier) explains the fascinating science behind Elsevier's Shadow Health simulations– an interactive learning experience for nurses. Tony and Shannon cover a range of topics within a dense conversation, as Shannon ... Show More

[MINI] Backpropagation

Backpropagation is a common algorithm for training a neural network. It works by computing the gradient of each weight with respect to the overall error, and using stochastic gradient descent to iteratively fine tune the weights of the network. In this episode, we compare this ... Show More

Will AI chatbots replace physicists?

Large language models are changing the way physics is taught and practised