Venue: Raleigh Convention Center Date: Oct. 25, 2024 Time: 3:50pm – 4:10pm EST USA Time Location: 302C Presented by: Brian Rohrback, President, Infometrix, Inc. Abstract: Chemometrics has played a critical role in the supervised learning realm by supplying multivariate tools to extract information content from streams of data. Machine learning is not new, enjoying origins in the 1950s as applied to game theory. At its core, the purpose is to replace a human-centered process with software that can adapt to new inputs in an optimal, sometimes novel, way. Adapting chemometrics to fit the machine learning paradigm necessitates applying the tools of the trade in a fully automated way and, in quality assurance applications, the focus needs to be on spectroscopy (optical, magnetic, mass) and chromatography; these are the most direct measures of chemistry in the system under management. This paper shines light on the process of integrating machine learning and chemometrics for analytical instruments. Register at SciX 2024.