“Geeky kids” to power? AI as an opportunity in the confectionery industry
Two key problems are the price increase for cocoa and the shortage of raw materials like hazelnuts, which are affecting the production of many confectionery products. AI could help to reduce production costs and increase yields through optimised cultivation techniques and more precise weather forecasts. ...
Bühler's pioneering role in the snack industry
Bühler’s methodology in crafting snacks exemplifies a seamless integration of wide ranging expertise with the latest technological advancements, with its impact most notable in the realm of snack foods. Through pioneering milling techniques, Bühler adeptly converts grains into premium flours, establishing a solid foundation for ...
Gerhard Schubert GmbH: AI supports cobots
The Schubert tog.519 cobot is one example of how AI based on neural networks ensures simple handling and high flexibility during packaging. The cobot is designed for high performance pick & place applications with lightweight products. Its neural network is so extensively trained that the ...
IVV Dresden/Freising: assistance system for optical quality monitoring
Chocolate production is a traditional craft. In order to economically produce large quantities for the food retail, support from production systems is necessary. These chocolate production systems have a long service life, often operating for decades. However, technical progress in the field of automation and ...
WDS: AI-supported confectionery production
However, Large Language models like ChatGPT are only one very general model family among thousands of other AI models. Working together with the Fraunhofer Institute, a theoretical basis and in-company know-how was built up at WDS to begin with. WDS.gpt was developed – a tool that ...
AI in the chocolate industry: from the cocoa bean to the chocolate bar
AI is based on several fundamental principles, including machine learning, pattern recognition, reinforcement learning and adaptivity. To use these technologies successfully, you not only need specialised algorithms, but also a solid database with process-relevant parameters and iterative learning phases that improve predictions and optimisations. The ...
