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SUMMARY:Generative AI in Chemical Process Engineering - Artur M. Schweidtm
 ann - Delft University of Technology
DTSTART:20240226T110000Z
DTEND:20240226T120000Z
UID:TALK212404@talks.cam.ac.uk
CONTACT:Communications\, CEB
DESCRIPTION:: It is envisioned that generative artificial intelligence (AI
 ) will have a huge impact on chemical process engineering. Generative AI h
 as gained immense traction across diverse sectors\, exemplified by remarka
 ble achievements such as ChatGPT's language generation and GitHub Copilot'
 s code generation. Generative AI also holds immense potential to reshape c
 hemical process engineering by offering advanced data handling\, modeling 
 and decision-support capabilities\, ultimately driving innovation and effi
 ciency in the industry. However\, there are only limited applications in c
 hemical \nengineering so far. Promising applications are proposed for gene
 rative AI in process engineering including autocompletion of flowsheets\, 
 autocorrection of engineering documents\, P&ID generation and AI-assisted 
 HAZOPs.\nIt is felt there is a need to conduct research and development in
  three main areas to ultimately develop useful generative AI tools in our 
 domain: data\, information representation\, and model architectures includ
 ing mechanistic information.\n\n https://teams.microsoft.com/l/meetup-join
 /19%3ameeting_MDYzODMxYmEtZTU4Ni00Y2M0LWE3YTgtMTgwNDI5ZmZlNmEy%40thread.v2
 /0?context=%7b%22Tid%22%3a%2249a50445-bdfa-4b79-ade3-547b4f3986e9%22%2c%22
 Oid%22%3a%22026c67ed-9f3a-40b8-9234-48eb6576dfe8%22%7d PLEASE COPY FULL LI
 NK\n
LOCATION:Teams
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