Analytics Insights: Bridging the gap in big data with innovative deep learning solutions
Intellegens is a spin-out from the world-famous Cavendish Laboratory at the University of Cambridge. The company has developed a unique approach to deep learning from sparse data. Sparse data (as is typical of experimental data) currently poses a big problem for traditional deep learning methods, which are designed to fill in gaps in information. Conventional approaches require reliable, complete data to produce accurate models. However, in the real world, and particularly in R&D, complete data is rarely available.
Intellegens is a spin-out from the University of Cambridge with a unique Artificial Intelligence (AI) toolset that can train deep neural networks from sparse or noisy data. The technique, created at the Cavendish Laboratory, is encapsulated in Intellegens first commercial product, Alchemite™. The innovative deep learning algorithms that Alchemite™ is based on can see correlations between all available parameters, both inputs and outputs, in fragmented, unstructured, corrupt or even noisy datasets. The result is accurate models that can predict missing values, find errors and optimise target properties. Capable of working with data that is as little as 0.05% complete, Alchemite™ can unravel data problems that are not accessible to traditional deep learning approaches. Suitable for deployment across any kind of numeric dataset, Alchemite™ is delivering ground breaking solutions in drug discovery, advanced materials, patient analytics and predictive maintenance – enabling organisations to break through data analysis bottlenecks, reduce the amount of time and money spent on research, and support better, faster decision-making. For more information contact us here.