Deep learning for sparse or noisy data with proven solutions in advanced materials and drug discovery

Intellegens is a spin-out from the University of Cambridge that has developed a unique Artificial Intelligence (AI) method for training neural networks from incomplete data sets. The technique, developed in the Department of Physics, has been applied in drug discovery and material design but as the technique is generic it can be applied to many domains where there is big, incomplete data.

We collaborate with Intellegens on an Innovate UK grant funded project to harness the power of AI to learn from complex data and guide scientists in the design and testing of potential new drugs.

You can find out more about Intellegens on their website.