Newsletter January 2023 

Dr Tom Whitehead presented at last week’s SCI Formulation Forum in London, discussing the application of machine learning to improve sustainability in the chemicals industry – the third largest industrial emitter of CO2. If you weren’t at the event, don’t worry! You can join us online on February 21st to see Tom’s presentation and an additional software demonstration, and participate in live Q&A.

We will all have been reviewing our 2022 performance metrics over the last few weeks. At Intellegens, we’ve been taking a look at what interested you most on our website and social media last year. Perhaps unsurprisingly, the answer was: real examples of applied machine learning. Our most downloaded white paper was ‘Seven examples of how materials and chemicals companies innovate with AI’. In case you missed it – download it now!

New developments are always being added to the Alchemite™ Analytics software. One recent enhancement to the Output Tolerance feature enables interactive visualisation (pictured) of predicted variations in a system’s outputs due to uncertainty in its inputs. Users can plan safety margins and limits to ensure the greatest chance of success for every experiment. Another new feature is the ability to target any measurable output, even if it is non-numerical. This enables the model to include knowledge, such as a visual “Pass/Fail” or a list of defect types, that is often impossible to include with other machine learning methods.

A very popular recent addition to our website has been this demonstration video, in which Dr Joel Strickland from our Science Team walks through a complete design of experiment workflow for formulations design. The video is around 12 minutes long – grab a coffee and you could watch it right now…

On this month’s blog, we look at the commercially-important and scientifically-challenging area of paints, coatings, inks, dyes, and related chemicals. We discuss why and how machine learning is being used to optimise formulations and save experimental time in these areas.

These big challenges are discussed in a little more detail in a feature article in this month’s Process Industry Informer. Find out how machine learning is helping to tackle the energy, sustainability, and innovation challenges facing the chemical process industries.

Machine learning for materials, chemicals, and manufacturing is really going places. For Intellegens, it’s going to Chesterton Mill in Cambridge, where we’ll be opening our new headquarters office in the next month. It was a landmark day as CEO Ben Pellegrini collected the keys. We’ll keep you posted on progress. More importantly, our new home and expanded team will equip us better to drive forward product development and to support our customers.

For more information on how our technology can be applied to your specific needs visit https://intellegens.com or contact us at info@intellegens.com.