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#125 Pascal Weinberger: Harnessing the Power of Generative AI for Creativity & Productivity
Eye On A.I.
The Future of Machine Learning
Back in 2017, 2018 as you pointed out generative AI was not as strong I think generally the AI field wasn't as strong so the core problems we were looking at was understanding machine learning algorithms. The second big thing is working with customer data it became very critical that we could train those models without necessarily having to move data around today. There was a big focus point and then the third one was around emotional AI which really isn't like related to generating emotions or making machine sentient but much more about like understanding emotions from peoplewhich I think is something that now especially in terms of AI will become again much more powerful.
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