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Advancements in Artificial Intelligence
This chapter discusses the advancements and breakthroughs in artificial intelligence over the past decade, including the success of neural networks in the ImageNet competition and the dominance of symbolic AI in the 1980s. It explores the challenges of designing explicit rules for machines, the problem of common sense, and the shift towards learning from scratch. The chapter also reflects on the commercial applications of AI, the importance of data, and the emergence of transformers in the research frontier.