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Alchemite™ deep learning – solving complex problems with real-world data

  • White Papers
  • in: Additive Manufacturing, Aerospace, Batteries, Chemicals, Data, Design of Experiments, Drug Discovery, Manufacturing, Materials, Other, Superalloys

Intellegens White Paper.

This white paper provides an overview of the Alchemite™ technology. What motivates businesses to apply it? Which key machine learning challenges does it overcome, and how? And what are the resulting benefits?

Alchemite white paper

Executive Summary

An 80 percent reduction in experimental effort. £10m saved in R&D costs. Getting a product to market six months earlier. Avoiding reputational damage by correctly focusing maintenance resources. Dramatically lowering energy and resource usage or responding quickly to new regulations. These are all potential benefits of Machine Learning (ML) technologies. But, too often, these benefits are not realised – either because of constraints imposed by the available data or because of implementation challenges. In this white paper, we introduce Alchemite™ deep learning, discuss how it solves these problems, and provide examples of its success in chemicals, materials, formulated products, drugs, manufacturing problems, and beyond.

Download the white paper

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