We’re currently planning our Autumn/Fall webinar series.
Details will be posted here.
Meanwhile, you can access recordings of past sessions below.
Optimising experimental programs in chemical and formulation development
Focusing on the development of new and improved chemicals and formulated products, we walk through a complete workflow for building a machine learning model, then improving it through focused acquisition of new data. Such an approach typically results in 50-80% fewer experiments than conventional methods, and has been proven in applications including specialty chemicals, food and beverage, paints, dyes, fragrances, cosmetics, and plastics.
Turning uncertainty into good decisions for chemicals, materials, and formulations R&D
There are in-built uncertainties in the data that we collect and the predictions that we make when developing chemicals, materials, or formulations. But that should not stop us from making good decisions using this information. We can even extract useful knowledge from what appears to be noise in the data. Intellegens CTO Dr Gareth Conduit will discuss this topic, delving into how we can gain useful insights with the right tools and approaches to uncertainty and noise in machine learning studies.
Machine learning for polymers R&D
Optimising the chemistry, blending, and formulation of polymers can have profound impacts on the performance, economics, and sustainability of an array of products and industrial processes. Find out how innovative machine learning can enable a data-driven approach.
Towards net zero for manufacturing processes with machine learning
Machine learning can make products and processes more efficient, reducing waste, energy usage, and resource consumption. Join us to find out how, with insights from the recent ‘Build UK India’ project focused on reducing wastage in an industrial manufacturing process for aerospace.
Additive Manufacturing data with Ansys
Go from trial and error to the correct result the first time for your additive manufacturing operation. Increase understanding of vital process/property relationships, do fewer tests, and get reliable parts to market faster. Intellegens partner Ansys will introduce their Ansys 2022 R1 release of Granta MI™ for Additive Manufacturing, which integrates Intellegens machine learning to extract more value from AM project data.
3 ways that machine learning can supercharge battery development
Join Intellegens and battery experts Deregallera as we discuss how machine learning can supercharge battery development. We will look at three key applications: (1) New battery materials and formulations; (2) Design of battery packs; (3) Battery management. We’ll discuss the challenges of applying machine learning to these problems and how these challenges are being overcome to improve charging capacity and energy density, lower development times and costs, and enable more efficient operation.
Transforming materials and process development through machine learning
In this webinar, we hear from guest speaker Dr Richard Padbury how materials technology experts Lucideon are applying machine learning to research applications including controlled release drug delivery, battery technology, ceramics, polymers, and complex formulations. We discuss how machine learning might transform the future of material and process development and see a demonstration of the Alchemite™ deep learning technology.
Machine learning for material and component design (with NASA)
Development organisations in engineering, manufacturing, and materials need to design new and improved materials and components and to wring every drop of performance from existing systems. In this webinar, we hear about a project to validate and apply Alchemite™ machine learning in pursuit of these goals at NASA Glenn Research Center.
Solving the 'small data' problem for formulations, materials, and processes
We hear a lot about ‘big data’. But how can we solve problems where we have little data? This is common when exploring new territory — for example, designing materials, chemicals, formulations, and processes. In this webinar, we explore strategies and tools to meet this challenge, including demonstrations of the Alchemite™ deep learning software.
Machine learning and digitalisation strategies
Is your digital transformation strategy actually slowing you down? Many technical organisations are investing in digitalisation. In this webinar, we discuss how machine learning interacts with digitalisation projects.
A data-driven route to more sustainable materials, processes and polymers
In this webinar, we show how Alchemite™ deep learning software solves problems related to sustainability when designing or developing materials and chemicals, particularly polymers.
Impossible journeys in 15 dimensional space
Complex problem-solving using sparse and noisy data in chemicals, materials, and beyond
An introduction to the Alchemite™ technology and its use in solving complex high-dimensional problems using sparse, noisy data.
Deep learning for materials development and additive manufacturing
Find out how machine learning methods are being applied to solve key problems in the design, characterization, and processing of metal alloys and other advanced materials. With guest speaker from the Advanced Manufacturing Research Centre, discussing a joint project between the AMRC, Intellegens, and Boeing.
Efficient formulation design using machine learning
Find out how Alchemite™ helps to guide testing and find optimal formulations, quickly, overcoming the challenges of sparse and complex data. With guest speaker from Domino Printing Sciences.
How Alchemite™ is Revolutionising Design of Experiments with AI
Find out how Alchemite™ guides Design of Experiment campaigns.
Applications of Alchemite™ to Drug Discovery
Introducing the Alchemite™ deep learning method for sparse experimental data.