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·Eva Popílková·1 min read·Archive 2019

Karen Hao analysed nearly 17,000 studies on artificial intelligence and wrote an article on where he believes AI is heading

• The biggest shift was the transition from expert systems (knowledge-based systems) to machine learning in the early 2000s. The word “logic” is increasingly less used in research…

Karen Hao analysed nearly 17,000 studies on artificial intelligence and wrote an article on where he believes AI is heading

• The biggest shift was the transition from expert systems (knowledge-based systems) to machine learning in the early 2000s. The term “logic” is increasingly less used in research, while words like “learning” and “data” are becoming more prevalent.
• Almost everything you hear today about artificial intelligence is thanks to deep learning. Neural networks are on the rise. Since 2012, when Geoffrey Hinton introduced a neural network that could recognise images with over 10% greater accuracy than other algorithms.
• The analysis revealed that the third trend emerging in research is reinforcement learning. A breakthrough occurred in 2015 when AlphaGo from DeepMind, using reinforcement learning, defeated the world champion in the ancient game of Go.

Source: https://www.technologyreview.com/…/we-analyzed-16625-pape…/…

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