AI Use Case

Optimise experimental efficiency through refining research process and operations

Identify critical factors to improve R&D efficiency - e.g. to reduce the number of required experiments for research and testing process (an examples might include component testing). Optimising configuration of processes and operations will work better where the parameters under development remain stable.


R And D

Core Research And Development


Cost - Optimise resource allocation,Operational - Lower error rates,Cost - Reduce wastage

Case Studies

Roche~Roche plans to reduce time-to-market for oncology medicine by streamlining clinical trial process with machine learning,Facebook~Facebook optimises experiments for server performance and ranking improvement using reinforcement learning,MIT~MIT scientists develop system that crowdsources data to speed up drug discovery using neural networks,National Institute for Materials Science Japan~Researchers from the National Institute for Materials Science Japan automate creation of knowledge graphs regarding the materials design process using natural language processing,Berkeley Lab~Berkeley Lab releases reinforcement learning training platform for training autonomous vehicles on traffic regulation


Data Sets

Structured / Semi-structured,Time series

AI Technologies

Machine Learning (ML),ML Task - Grouping - Dimensionality Reduction,Traditional AI

Potential Vendors

Flatiron Health,Facebook