Unlock the Potential of Open AI in Smart Manufacturing
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MOTIVATION
Figure 2-3 : Foundation model 3 .
Generative AI has the potential to accelerate transformation in manufacturing by :
• Enabling innovation , efficiency , and optimization in various aspects of the industry . This will enable industries , including manufacturing , automotive , aerospace and defense , to design parts that are optimized to meet specific goals such as performance , materials , and manufacturing methods .
• Training in large datasets of historical data , generative AI algorithms can produce new and innovative designs while considering a wide range of constraints such as cost , safety , and performance . This can help manufacturers reduce product development time , optimize production lines , and improve product quality .
• Embracing new design and manufacturing paradigms and preparing for the future with the new Industrial Metaverse . Manufacturers will increasingly include industrial metaverse technologies in their digital transformation roadmap to address advanced simulation , cross-domain collaboration , and safety .
• Running product lifecycle management applications ( PLM ) and computer-aided design workloads on the cloud to gain agility , efficiency , and scalability .
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March 2024