刚刚，Geoffrey Hinton成为第二位引用量破百万的科学家

Core Insights - Geoffrey Hinton has officially become the second computer scientist in history to surpass 1 million citations on Google Scholar, following his collaborator Yoshua Bengio [1][3][4]. Academic Achievements - Hinton's most cited paper, "ImageNet classification with deep convolutional neural networks," has received 188,837 citations since its publication in 2012, marking a significant milestone in deep learning [3]. - He co-authored the influential paper "Deep learning," published in 2015, which has garnered over 107,646 citations, summarizing the development and applications of deep learning [23]. - Hinton's contributions include the development of backpropagation, Boltzmann machines, deep belief networks, dropout techniques, and t-SNE, among others, which have laid the groundwork for modern AI [11][14][15][21]. Personal Background - Geoffrey Hinton was born into an academic family in London, UK, and faced high expectations from a young age, which shaped his pursuit of academic excellence [5][9]. - His early curiosity about the world led him to explore various fields, including physics, philosophy, and psychology, before committing to artificial intelligence [9][10]. Career Milestones - Hinton moved to Canada in the 1980s, where he established a long-term academic career at the University of Toronto, contributing significantly to the AI field [10]. - He received the Turing Award in 2018 alongside Bengio and Yann LeCun, recognized as the "three giants of deep learning" [21]. Recent Developments - In 2023, Hinton left Google after a decade to freely discuss the risks associated with AI, expressing concerns about the potential dangers of advanced digital intelligence [27]. - In 2024, he was awarded the Nobel Prize in Physics alongside John Hopfield for their foundational discoveries in machine learning using artificial neural networks [25].