Process Innovation - AI for Industry

Simple item page
dc.contributor.authorSchmid, Philipp A. E.
dc.date.accessioned2022-11-16T17:21:01Z
dc.date.available2022-11-16T17:21:01Z
dc.date.issued2022-11-16
dc.description.abstractAI is becoming more and more prevalent in everyday life: Translation programs, funny photo filters on cell phones or driving assistance in cars. Now the big breakthrough is about to happen in the manufacturing industry. Perfect quality and ever higher efficiency are driving companies around the globe. With new concepts such as predictive quality or AI in robotics, holistic solution approaches are available which also bring a direct appreciation. In his presentation, Philipp Schmid analyzes where the technology stands today, he points out stumbling blocks and shows the enormous potential of AI in industry with concrete examples.en_US
dc.identifier.citationTakeda Global Manufacturingen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12839/1063
dc.language.isoenen_US
dc.subjectAIen_US
dc.subjectDeep Learningen_US
dc.subjectPredictive Maintenanceen_US
dc.subjectPredictive Qualityen_US
dc.subjectAutomationen_US
dc.subjectDeepfakeen_US
dc.subjectVisionen_US
dc.titleProcess Innovation - AI for Industryen_US
dc.typeConferenceen_US
dc.type.csemdivisionsDiv-Ren_US
dc.type.csemresearchareasIndustry 4.0en_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
2022-11-16_Takeda_CSEM.pdf
Size:
7.73 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.82 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research Publications