Welcome to the Intellegens newsletter, where we share the latest news, developments, and achievements from the team at Intellegens.
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Alchemite™ 2023 Autumn Release
The Alchemite™2023 Autumn Release is now available, delivering more value from real experimental and process data for teams in chemicals, materials, and life sciences R&D. This release of the machine learning software optimises usability for larger, denser datasets, delivering deeper insights in the race to develop improved formulations, materials, chemicals, and processes. It enables more flexible exploration of design space. And it helps R&D teams to onboard new users faster and to collaborate based on analysis and guidance from ML predictions.
Webinar: Materials development
Developing new materials with improved performance is already a complex, multi-parameter optimisation problem. The increasing need to meet sustainability and net zero targets makes this task yet more challenging. Machine learning (ML) can help, extracting added value from all available data to propose new designs and processing options, and to guide experimental programmes. In this webinar, we’ll demonstrate ML for materials design and development and hear a case study presentation from Welding Alloys Group. This will detail a project in which ML found an improved, cost-effective, and more environmentally-friendly hardfacing material.
Updated Alchemite™ white paper
We’ve updated our overview white paper on the Alchemite™ method. There are many proven benefits of machine learning (ML) technologies applied to R&D in sectors such as chemicals, materials, FMCG, and life sciences. These include reductions in experimental effort, faster time-to-market, optimised products and processes, and lower environmental impact. But, too often, these benefits are not realised – either because of constraints imposed by the available data or because of implementation challenges. This white paper, discusses how Alchemite™ solves these problems and provides examples of its success in accelerating innovation.
Blog – the big (and small) data size question
It seems that almost every time we run one of our Intellegens webinars, variants on the same two questions come up in the Q&A. “How little data can I get away with?” or “how much data can it handle?”. The answers, of course, often lie in the detail of the machine learning study in question. We’ve been thinking hard about this detail as we developed our latest Alchemite™ 2023 Autumn Release. Our latest blog article discusses how would we summarise our current thinking on the size issue.
New composites paper
A new paper in the journal Computer-Aided Design studies 3D woven composites that have potential advantages over conventional 2D structures in aerospace and similar applications. The huge number of topological options available makes these systems difficult to model and design. Scientists from the A*STAR Institute, Pratt & Whitney, and Intellegens have collaborated to develop a generative computational method that can address this challenge.
Focus on the oligonucleotides project
The Medicine Maker interviewed Intellegens CEO Ben Pellegrini about a machine learning project that aims to change the oligonucleotide manufacturing landscape. The project, in collaboration with the Centre for Process Innovation (CPI) aims to improve predictive modelling tools, experimental program design, optimal process parameter discovery, and target output identification. The CPI team also presented this project at the recent TIDES Europe Conference – the poster can be accessed as part of a Life Science Info Pack on this website.
Gareth shares physics inspiration
Intellegens CSO and co-founder Gareth Conduit featured in the ‘People doing physics’ podcast from the Cavendish Laboratory at the University of Cambridge. The podcast discusses the inspirations, career paths, and insights of guest physicists. Have a listen to hear how Gareth’s love of physics started out with Mecanno and led him to machine learning for materials design.
