Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention. AI and machine learning are now applied to search engines like Google and services like Amazon, and method developers are starting to incorporate AI into analytical methods. Most notably, several methods use AI for PCR methods to detect SARS-CoV-2 viruses. Method developers are also starting to incorporate AI into food pathogen methods. This session explores what AI methods are, and how AOAC will evaluate these methods.
Abigail Horn, Ph.D.
Assistant Professor of Population and Public Health Sciences
Division of Biostatistics
Department of Population and Public Health Sciences
Keck School of Medicine
University of Southern California
Abani K. Pradhan, Ph.D.
Associate Professor and Director of Graduate Program UM –
Department of Nutrition and Food Science, CFS3
University of Maryland
Steven Van Vooren, PhD
Marketing Director
UgenTec
