Welcome to the Intellegens newsletter, where we share the latest news, developments, and achievements from the team at Intellegens.
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Webinar: Advanced materials at voestalpine
Join our webinar on 12 November to hear from leading steel and technology provider voestalpine as they explain how they have applied machine learning (ML) in additive manufacturing (AM) applications. Liang Wu of voestalpine will discuss how ML helps to optimise new alloys, accelerate development of process parameters, enable more efficient process monitoring, and design better heat treatments. He will present a case study of a new AM alloy for plastic injection moulding. You will also see a live demonstration of Alchemite, the machine learning software applied at voestalpine. And you can get your questions answered in a live Q&A session.
New book explores product formulation
Intellegens scientists Joel Strickland and Tom Whitehead, collaborating with Phillip Woolston of Domino Printing Sciences, have contributed a chapter on adaptive experimental design to a new book: The Digital Transformation of Product Formulation. The book, edited by Alix Schmidt of Dow and Kristin Wallace of ProSensus Inc., has just been published by Taylor & Francis.
Enhanced feature: Optimising DOE
It’s the small changes based on user feedback that make sure our Alchemite™ software really sings. We’ve tweaked the Alchemite™ Design of Experiments (DOE) tool to make it easier to find the optimal set of experiments in fewer button clicks. Previously, the ability to input target ranges for experimental inputs and outputs meant you could use Alchemite’s powerful machine learning to focus-in on experiments that met your project goals – a big advantage over conventional DOE. Now, you can also ask Alchemite™ to minimise or maximise any of your inputs or outputs – the software will search for possible experiments which fulfil these criteria whilst keeping uncertainty as low as possible.
Recorded webinar: The formulations fast track
In case you missed it, our recent webinar on formulations development is now available to view online. Learn about simple-to-use software to save experimental time and cost and find optimal formulations – for experimentalists and formulation experts.
Mind the gap – working with real data
At Intellegens, we share lots of examples of how machine learning (ML) accelerates R&D in areas like chemicals, materials, food research, and life science. But there will be a few frustrated readers who never made it to first base with ML. If you’re one of those, or fear you might become one, a key reason might well be that “it won’t work with my data.” So, in this month’s blog, we go back to basics and discuss how to avoid some key pitfalls.
Featured application: Alloy research
Our upcoming webinar features steelmaker voestalpine. Find out what other leaders in alloy design and development have been doing with machine learning in our website feature. With example projects from OCAS, Rolls-Royce, Welding Alloys Group, GKN Aerospace, and NASA.
Plotting your machine learning career
Interested in a career in Machine Learning? Our Tom Whitehead has been chatting to tech recruitment expert Lucy Neville about his career, sharing insights on relevant skills and approaches to finding an interesting role with real-world impact.