A Discovery Series 

Unlocking Innovation in Drug Discovery with IPU-powered AI

Presented by Alex Titterton, Field Applications Engineer, Graphcore

Thursday 13 January 2022 at 16:00 |


Artificial intelligence is revolutionizing the traditionally slow and expensive drug discovery process. Innovative AI-first biotech companies and leading pharmaceutical companies alike, are using Graphcore IPU-POD AI systems to make new biomedical breakthroughs to discover new drugs faster, repurpose medicines and model new drug combinations, building a pipeline of new and effective therapies.

In this webinar, Alex Titterton, Senior AI Engineer at Graphcore, will explain how researchers in genomics and protein therapeutics, and healthcare professionals are getting ahead of the curve with Graphcore machine intelligence to deliver a step change in drug discovery by running multiple programmes in parallel, delivering a higher chance of success, faster.

What You Will Learn: 

  • Introduction to Graphcore IPU technology and why its massively parallel architecture is ideal for drug discovery
  • How innovative biotechnology companies are using IPUs today
  • Why Natural Language Processing Transformer models and Graph Neural Networks (GNNs) are being used in drug discovery and the advantages of running these models on IPU systems
  • How to get started with IPU systems

About the Speaker:

Alex Titterton has a master’s degree in mathematics and physics at the University of Bristol. In 2015 Alex started a PhD in particle physics, jointly appointed between the University of Bristol, University of Southampton and the Rutherford Appleton Laboratory, and as part of this in 2017 moved to France to work at CERN. Currently Alex works as Field Applications Engineer at Graphcore, where he has been enjoying tackling new challenges supporting Graphcore customers.

We produce cutting edge congresses and summits for the Life Sciences Industry, bringing together industry leaders and solution providers at a senior level, creating the opportunity to partner, network and knowledge share.

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