Anvil Sparks Modelling Ltd

ASM are paying attention to regulatory aspects and ensure we keep to legal requirements when it comes to process modelling and AI. It is very important to ensure your models are verified and validated to regulatory standards. Good old system identification theory can ensure this!

At ASM, we value sustainability. We've recently installed solar power to make our little difference to the environment, climate change and lowering our carbon footprint. What a great day!

ASM's HQ is based in Sandwich, Kent (https://lnkd.in/evNi-pFu), a beautiful medieval town with such great tradition with their various festivals. Let's support local business!

Here is a great example of what can happen if a powerful tool like AI doesn't consider physics-based or first principles-based models! ASM focuses on making fit-for-purpose fundamental models will prevent this type of problem from occurring with your AI when applied to your manufacturing or minerals processing plant. Contact us to find out more, look at some previous posts (https://lnkd.in/epY7DtyS, https://lnkd.in/eaK6cjQ8) on this subject, or keep posted for more ML approach we consider when leveraging your AI from advanced process models. https://lnkd.in/ekVXyYVs

A very hot topic on AI vs control theory. Historical context is important to understand where this has all come from. We are definitely entering into a new era where we think combining control theory, physics-based models and AI, or a hybrid approach is going to be very powerful.

Following on from ASM's previous post (https://lnkd.in/epY7DtyS) about the benefits of using AI, arguably the most powerful tool in the world to bring your industrial process or minerals processing plant to the next level, a more modern approach has been developed. Using physics-informed neural networks, first principles-based model equations can be included in a way where the AI agent embeds this knowledge into its learning capability. This means the agent has the ability to learn the process without disturbing the actual plant, yet makes it much less erroneous when making predictions with real-plant data it hasn't ever seen before. Contact us to find out more and keep posted for one more ML approach we consider when leveraging your AI from advanced process models.

If you had AI, the most powerful tool in the world, how would you use it to bring your industrial process or minerals processing plant to the next level? ASM's approach has always been to use first principles-based models as the go to method. However, recent developments in AI and machine learning (ML) have many advantages given their shear computational power with big data. One very traditional ML approach is having an AI agent that learns from its environment. ASM's ability to bring fit-for-purpose physics-based models for the agent to learn from means the agent has the ability learn the process without disturbing the actual plant. Contact us to find out more and keep posted for other ML approaches we consider when leveraging your AI from advanced process models.

Wishing all fathers a Happy Fathers Day! Time is limited, so spend as much time as you can with family.