[object Object]

by The digiLab Team

Updated 2 May 2024

digiLab Newsletter: Issue 8

Enhancing the Nuclear Economy, ML for Fusion Energy workshop and twinLab tutorials
[object Object]

Welcome to the latest newsletter. Lots of fusion this week! We've got another event lined up, this time with our CEO, Professor Tim Dodwell, in addition to Cyd's upcoming webinar series; and we've recapped our workshop with the Plasma Science and Fusion Center at MIT. We've also created a new home for twinLab tutorials, demonstrating a range of its powerful but easy-to-use capabilities.

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!

Enhancing the Nuclear Economy - Featured Speaker

Our CEO Professor Tim Dodwell will be speaking at the Enhancing the Nuclear Economy event on the 8th May. Machine learning and uncertainty quantification methods have a key role to play in the nuclear industry, from fundamental science to grid deployment. Our Probabilistic ML tool, twinLab, is already solving challenges in these areas.

Discover More

ML for Fusion Energy Workshop with the PSFC

Earlier in March, digiLab held a joint workshop at the Plasma Science and Fusion Center at MIT (PSFC), exploring applications of Probabilistic ML to the Fusion industry. PSFC are at the cutting edge of many areas of fusion research, from plasma simulation and control to tritium modelling.

Together with workshop organiser, Rémi Delaporte-Mathurin at the PSFC, our fusion team (Professor Tim Dodwell, Amanda Niedfeldt, Ross Allen and Cyd Cowley) have taken the time to summarise and evaluate some of the topics of dicussion.

Read More

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!

Explore Tutorials

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.

The digiLab Team
We are a 30+ strong team of ML Experts, Software Developers, Solution Engineers, and Product Experts. As a spinout from the University of Exeter, we build on years of cutting-edge academic research. At our core is a commitment to helping engineering and infrastructure companies become data-driven.

Featured Posts

If you found this post helpful, you might enjoy some of these other news updates.