Event Speaker: Dr Tom Whitehead, Head of Machine Learning, Intellegens
Guest speaker: Dr Josie Harries, Ink Technology Manager, Domino Printing Sciences
Find out how Alchemite™ helps to guide testing and find optimal formulations, quickly, overcoming the challenges of sparse and complex data. Hear a case study of ink formulations and see the software in action. We’ll discuss how to reduce time-to-market, identify new candidate formulations, and enable reformulation in response to market, environmental, or regulatory drivers.
Dr Josie Harries will discuss (full abstract below) Domino’s motivation in applying the Alchemite advanced machine learning technology, and share some of the benefits of the project. Dr Tom Whitehead from Intellegens will demonstrate the software tools in action.
Original broadcast: 15th December 2020
In this recorded webinar, we explore how Alchemite™ guides Design of Experiment campaigns, suggesting new experiments to carry out that will not only provide high-performance formulations but also add the most value to the underlying machine learning model. This leads to a virtuous cycle of the model improving itself, enabling yet more accurate and performant predictions in subsequent rounds.
We present a case study on metal alloy design, running on a preview build of the Alchemite™ Analytics platform, to highlight the ease-of-use of the software for rapid Design of Experiments.
Event Speaker: Dr Tom Whitehead (Head of Machine Learning at Intellegens)
Original broadcast: 22nd October 2020
In this recorded webinar, we introduce the Alchemite™ deep learning method for sparse experimental data. Through a series of real-world case studies, we explain how Alchemite™ is able to extract more information from sparse drug discovery data than competing methods, and how Intellegens and Optibrium have been collaborating to apply Alchemite™ to in-house data from global pharma companies.
Event Speakers: Dr Tom Whitehead (Head of Machine Learning at Intellegens) and Dr Matthew Segall (CEO at Optbrium)
Original broadcast: 2nd June 2020
In this recorded webinar, we discuss how materials and chemicals companies are adopting artificial intelligence to optimize processes and accelerate discovery. We review seven real-world case studies that show how integrating machine learning to workflows reduced development costs and shortened the time-to-market. Examples include high-performance alloys in aerospace, batteries, construction chemicals, antimalarial drugs, lubricants and more.
Original broadcast: 6th May 2020
Traditional R&D is limited by the human inability to interpret multi-dimensional data and make unbiased decisions. Experiments and computational modelling can consume vast quantities of time and resources. Whether you want to discover or optimize new materials, chemicals or drugs, the Alchemite™ Analytics platform uses advanced AI to give you deeper insights, enabling better decision making resulting in faster and more accurate product development. Join us for a product demo with real case studies and a discussion on how the Alchemite™ Analytics platform can support your team’s workflows at each stage of development.
Original broadcast: 16th April 2020
Designing new materials and chemicals is a long and iterative process, reliant on historical methods and expert opinion. AI and data-driven approaches are enabling innovative companies to use their rare and expensive (OR sparse and noisy) experimental data to develop new products, faster and cheaper than ever before. Join us for a discussion on how Intellegens has been helping customers use AI to deliver real world value.
Original broadcast: 2nd April 2020