Small data: bringing AI to the lab
The use of Machine Learning and Artificial Intelligence in research is limited by the need for large datasets. At QuATOMs, we develop dedicated models directed at small datasets of <50 samples for real-life lab applications.
Machine Learning (ML) and Artificial Intelligence (AI) are permeating all aspects of life, including research. However, training a high quality model requires enormous quantities of data. This stands in stark contrast to general academic and industrial lab-scale data sets resulting from (innovative) research projects. At QuATOMs, we are developing dedicated models based on small data sets (<50 samples), for real-life lab applications. The created models are by construction the best possible models, while being formulated as simple human interpretable analytical equations.