by The digiLab Team
Updated 25 March 2024
digiLab Newsletter: Issue 5
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We've been travelling the globe for the last two weeks, attending the Fusion Industry Association annual policy conference in D.C., and delivering twinLab workshops for MIT, for The Henry Royce Institute / Rolls-Royce, and, nearer to home, for Exeter College.
Introduction to ML for Fusion
There are many potential applications for machine learning, and few are as technically complex as nuclear fusion.
In this first video, plasma physicist and fusion solutions engineer Dr Cyd Cowley explores the applications of machine learning in the development of fusion. These include ongoing applications, as well as potential areas where machine learning could be applied in the future.
autoML in twinLab - Making Gaussian Processes Easy
Despite its importance, choosing the right kernel to use with a Gaussian Process model can be a difficult task. In addition to the commonly chosen kernel functions, the space of possible kernels become very complicated when including compositional kernels, such as adding or multiplying two kernels together.
In this video, our technical content lead Ana explores the Model Selection feature in twinLab, which automates the process of kernel selection and composition.
Announcing our 2024 Summer Interns
We are delighted to introduce the students who will be taking part in digiLab’s 2024 Summer Internship Programme: Joe Rayson, Natalia Wojcik, and Lucas Pigott.
Probabilistic ML with twinLab
twinLab is already being used to solve next-generation engineering and sustainability challenges at organisations like the UKAEA, Airbus, and Rolls-Royce. Our vision with twinLab is to help more people and organisations to use probabilistic ML.
Just hit "Try twinLab" at the top-right, 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.
Featured Posts
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The Ethical AI Database
digiLab is part of the Ethical AI Database
Dr Andy Corbett
Understanding Uncertainty Quantification: The Different Types
Understanding Uncertainty Quantification - an article on the different types.
Prof Tim Dodwell
Tech Nation Rising Stars 5.0 - delighted national winners!
Tech Nation Rising Stars 5.0 winners
The digiLab Team