Always my favourite AI trajectory slide. Pulls it back to fundamentals and highlights the importance of well curated datasets. #TrainAI2017
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Q-learning is actually from Watkin's PhD thesis in 1989: 1992 is the year that a theoretical analysis was first proposed
One could also say: new algorithmic ideas haven't been around for 20 years. So just datasets and computing power which drives AI?
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