artificial intelligence
Evaluating dependability of black box AI methods
Artificial intelligence methods are now seeping into healthcare, medicine, agriculture and food sectors. Keeping the buzz aside, such methods are increasingly efficient at addressing a task at hand. The area of food safety is not unknown to these technological developments in big data and contemporary machine learning methods. For example, use of AI as part of analytical measurement procedures, internet of things (IoT) enabled analytical devices, use of predictive analytics algorithms for crunching large data sets, to list a few.
Artificial neural networks for the detection of food fraud - Data Scientists at Eurachem workshop in Dublin
The Eurachem Week 2018 took place from 14 - 18 May 2018. As a developer of mathematical-statistical concepts for quality assurance QuoData contributed to the event. Its data scientists and Carsten Uhlig of Akees GmbH presented a new approach to detect food fraud more quickly at the "Workshop on Data - Quality, Analysis and Integrity”, which was developed in cooperation with the Federal Office for Consumer Protection and Food Safety (BVL).