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Yoshua Bengio Elected Royal Society Fellow

The Royal Society announced that Turing Award winner and director of MILA Yoshua Bengio has been elected as one of its new Fellows and Foreign Members.

The Royal Society yesterday announced that Turing Award winner and director of MILA Yoshua Bengio has been elected as one of its new Fellows and Foreign Members.

“As one of the founding fathers of deep learning, Yoshua Bengio is honoured this year. His work on neural networks and machine translation helped bring about the AI revolution transforming the 21st century,” reads the Royal Society announcement.

This is the latest of many accolades for the Montreal-based AI pioneer. Bengio was honoured as a 2018 ACM Turing Award Laureate, sharing the “Nobel Prize of computing” with Dr. Geoffrey Hinton and Facebook AI Chief Yann LeCun “for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.” The trio published the 2015 cornerstone research paper Deep Learning in the journal Nature, introducing breakthroughs in deep convolutional networks.

“I am honoured as a scientist that my research is held in high esteem by my peers,” said Bengio in a statement published on the MILA, website. “I would like to mention, first of all, my colleagues in the university’s Department of Computer Science and Operations Research, but also all the researchers from all fields with whom I have collaborated, because my research is very often the result of these fruitful collaborations.”

The Royal Society traces its roots to London in 1660, when it was formed as an “invisible college” of natural philosophers and physicians. It is the world’s oldest scientific academy, comprising generations of eminent scientists, engineers, and technologists. Past Fellows and Foreign members include Isaac Newton, Charles Darwin, Albert Einstein, Alan Turing, and Stephen Hawking.

The Royal Society elected 51 new Fellows, 10 Foreign Members and one Honorary Fellow this year for contributions to human genomics, climate change, and machine learning.


Journalist: Fangyu Cai | Editor: Michael Sarazen

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