by The digiLab Team
Updated 17 May 2024
digiLab Newsletter: Issue 9
Welcome to the latest newsletter. Our Fusion Solution Engineer, Cyd, hosted a Fusion & AI webinar as part of the Fusion Energy Week from US Fusion Energy. He also produced a new video, "Predicting Performance for Magnetic Fusion", by modelling a tokamak in twinLab.
We're also excited to announce that we're hiring for multiple roles across Fusion and Nuclear Fission Sales, Solution Engineering, MLOps, and Software Engineering. Find full job descriptions here.
If you know someone who would be interested in applications of probabilistic ML across fusion, materials, and other complex engineering/infrastructure domains, share our signup link!
Fusion & AI Webinar
Cyd hosted an exciting panel exploring the intersection of fusion and AI/ML, featuring experts in the field including Pierre-Clément (PC) Simon, Aaron Ho, Chris Hansen, Ph.D., Egemen Kolemen, and Sebastian De Pascuale. Over 100 people dialled in. Now we just need to find a recording!
Predicting Performance for Magnetic Fusion
In this tutorial, you'll learn how to predict the performance for fusion devices known as tokamaks. In magnetic confinement fusion, strong magnetic fields are used to to ensure the heat in a 150 million °C fusion plasma is not quickly lost to the surrounding environment.
In this demo, you'll learn how build models using real experimental data from tokamaks around the world. Optimising the design of tokamaks is challenge facing fusion right now.
twinLab Tutorials - a GitHub Home
You can now find our range of twinLab Tutorials on GitHub. These demonstrate how to apply twinLab's capabilities in easy-to-use workflows. If you're interested in a problem related to a tutorial, get in touch below.
We'll be expanding and refining these tutorials over the next few weeks, so keep an eye peeled!
Getting Started with ML using twinLab
Just hit "Try twinLab" on our website, or reply to this email, and we'll set you up with an API key, the documentation, and some example solutions. Alternatively, if you've got a particular data challenge, book a free call with one of our solution engineers.
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