"Bengio, who is based at the University of Montreal in Canada, is known for his pioneering research on machine learning. He has been called one of the godfathers of artificial intelligence (AI), alongside computer scientists Geoffrey Hinton at the University of Toronto in Canada and Yann LeCun at the technology company Meta in New York City. The trio shared the A. M. Turing Award the most prestigious prize in computer science in 2019 for work on neural networks."
"Bengio's top-cited papers include one he co-authored in 2014 titled Generative Adversarial Nets, which has more than 105,000 Google Scholar citations, as well as a Nature review paper he wrote with LeCun and Hinton. The list also includes papers on attention', a technique that helps machines to analyse text. Attention became one of the crucial innovations that fuelled the chatbot revolution, starting with ChatGPT in 2022."
"The remarkable achievement highlights the tremendous growth in popularity of machine learning, says Kaiming He, a computer scientist at the Massachusetts Institute of Technology in Cambridge who is an author on the most-cited paper of the twenty-first century, according to a Nature analysis published earlier this year. Of the top ten most cited papers this century, eight were on machine learning. AI is changing the world, and we're just seeing the tip of the iceberg, Bengio tells Nature."
Yoshua Bengio, based at the University of Montreal, has become the first person with over one million Google Scholar citations. His pioneering machine-learning research includes the 2014 Generative Adversarial Nets paper (over 105,000 citations) and a Nature review coauthored with Yann LeCun and Geoffrey Hinton. His influential work on attention helped enable the chatbot revolution beginning with ChatGPT in 2022. The milestone underscores rapid growth in machine-learning prominence: eight of the top ten most-cited twenty-first-century papers are on machine learning. Colleagues describe Bengio's record as outstanding while noting citation counts are a raw metric. The achievement reflects both individual impact and the field's surge.
#yoshua-bengio #machine-learning #google-scholar-citations #generative-adversarial-networks #attention-models
Read at www.nature.com
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