Applications of Alchemite™ to Drug Discovery
Tuesday June 2nd @ 15h00 BST
In this live webinar, we will introduce the Alchemite™ deep learning method for sparse experimental data. Through a series of real-world case studies we will 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)
There will be an opportunity for Q&A towards the end of the session.
7 Examples of How Materials & Chemicals Companies Innovate with AI
Wednesday May 6th @ 15h00 BST
In this live webinar, we will discuss how materials and chemicals companies are adopting artificial intelligence to optimize processes and accelerate discovery. We will go over seven real-world case studies of 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. There will be an opportunity for Q&A towards the end of the session.
Transforming Materials Discovery Using Alchemite™ Analytics
Thursday April 16th at 16h00 BST
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 moreproduct 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.
How to accelerate materials & chemicals design with AI
Thursday April 2nd, 2020 @ 16h00 (London BST)