When analysing errors in manufacturing processes , using AI and more specifically Deep Learning technologies makes for rapid and precise analysis and interpretation of ever more complex , extensive datasets . The objective : fewer defects and less downtime , producing the same product in less time while using less energy and resources . The theme “ AI in machine technology ” is also an important topic at glasstec 2024 , the leading trade fair not only for glass producers but also for the machine manufacturers involved .
On behalf of Messe Düsseldorf the author spoke to VDMA ’ s Glass Technology Forum and renowned industry players in the run-up to the fair . The VDMA also looks at the topic of Artificial Intelligence as part of innovation management . Gesine Bergmann ( Head of the VDMA Glass Technology Forum ) reports : “ It is the adaptability of machinery and equipment builders that drives innovations and allows our industry to remain competitive . Here joint research for our member companies plays an essential role .” Artificial Intelligence generally denotes the ability of a machine or computer system to perform tasks that would usually require human intelligence – such as learning and problem solving , language recognition and reproduction , image recognition and in future maybe also something like “ intuition ” from experience . How to possibly attribute this type of intelligence to a machine was already researched by the British mathematician and IT specialist Alan Turing back in the 1950s . His “ Turing Test ” aims to assess the ability of a machine to show human-like behaviour or to demonstrate human-like intelligence . The basic idea : man and machine interact based on text from separate rooms , and the human does not know whether they are communicating with a machine or another human being . If the human cannot reliably decide , the Turing Test is considered as passed . This test still serves as factual criterion to assess human-like interaction of machines today and as a basis for numerous discussions about the development of AI systems and also their ethical implications .
Use of AI in the flat glass industry Modern AI algorithms are often based on machine learning or so-called Deep Learning .
RIVISTA DEL VETRO Special Glasstec 2024 27