Artificial Intelligence Research by IDTechEx

Researchers have figured out how to use deep learning to speed up the analysis of gas chromatographic data. Because this type of analysis is used in many parts of society, the new method will have a major impact on quality, efficiency and cost when examining various data -- from blood tests, to the fermentation of cheese. Gas chromatography is a method of analysis that most people have experienced at one time or another without necessarily knowing it. For example, gas chromatography can be used to reveal food fraud, find out where a particular batch of cocaine was produced or monitor a fermentation of cheese. "The new interpretive method of gas chromatographic analysis can make this type of analysis accessible to many more, which means that better and cheaper decisions can be made in a number of areas in society," says Professor Rasmus Bro, Department of Food Science at the University of Copenhagen (UCPH FOOD), who is one of the researchers behind the new interpretive method.