重口味SM

U of T鈥檚 Geoffrey Hinton receives Nobel medal, diploma at Stockholm ceremony

鈥淚 think we all feel an enormous amount of pride in the fact that [U of T] is one of the places where modern machine learning was really born - in large part due to Geoff Hinton鈥
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U of T University Professor Emeritus Geoffrey Hinton receives his Nobel Prize in Physics from King Carl XVI Gustaf of Sweden during the Nobel Prize award ceremony in Stockholm (photo by Henrik Montgomery/TT News Agency/AFP/Getty Images) 

The 重口味SM鈥檚 Geoffrey Hinton officially accepted his Nobel Prize in Physics during a formal ceremony at Stockholm Concert Hall that included orchestra music, an opera singer and a stage lined with bouquets of flowers. 

Wearing white tie and tails, Hinton strode across the dark blue stage emblazoned with the words 鈥淭he Nobel Prize鈥 to receive his Nobel medal and diploma from King Carl XVI Gustaf of Sweden. Then, as the Royal Stockholm Philharmonic Orchestra sounded a few triumphant notes, he bowed to the Swedish royal family, the audience and returned to his seat at the side of the stage.

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Geoffrey Hinton looks out over the audience after King Carl XVI Gustaf of Sweden presented him with his award (photo by Henrik Montgomery/TT News Agency/AFP/Getty Images)

And just like that, decades of scholarly endeavour in artificial intelligence (AI) 鈥 which began on the fringe of the AI research community and is now poised to forever change modern life 鈥 culminated in the U of T  emeritus of computer science known as the 鈥済odfather of AI鈥 receiving humanity鈥檚 most prestigious award for scientific achievement.

Hinton shared the 2024 Nobel Prize in Physics with John J. Hopfield of Princeton University, who made a similar journey inside the concert hall a few moments earlier. The pair were awarded the prize for discoveries and inventions that enabled machine learning with artificial neural networks, laying the groundwork for today鈥檚 AI boom. 

 

鈥淸Geoffrey Hinton] pioneered the efforts to establish deep and dense neural networks,鈥 said Ellen Moons, the chair of the Nobel physics committee, during her introductory remarks. 鈥淪uch networks are effective in sorting and interpreting large amounts of data and self-improve based on the accuracy of the result.

 鈥淭oday, artificial neural networks are powerful tools in research fields spanning physics, chemistry and medicine, as well as in daily life.鈥

In fact, the three winners of the 2024 Nobel Prize in Chemistry 鈥 who were seated to Hinton鈥檚 left 鈥 drew heavily on AI for their work in predicting protein structures and computational design of proteins. 

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U of T President Meric Gertler snapped this photo of the Nobel laureates from his seat in the concert hall (photo by Meric Gertler)

Back in Toronto, members of the U of T community gathered at watch parties on all three campuses to take in the livestream of the awards ceremony 鈥 a historic moment for the university. 

On the St. George campus, more than one hundred gathered to watch and cheer in the main lobby of the Schwartz Reisman Innovation Campus 鈥 home to U of T鈥檚  and the , where Hinton serves as an advisory board member and chief scientific adviser, respectively. 

Among the gathered audience was Michael Guerzhoy, an assistant professor, teaching stream, of engineering science and mechanical and industrial engineering in the Faculty of Applied Science & Engineering who took Hinton鈥檚 course on neural networks and machine learning in 2005 鈥 before going on to teach the same course himself several years later. 

鈥淚 think we all feel an enormous amount of pride in the fact that this is one of the places where modern machine learning was really born, in large part due to Geoff Hinton,鈥 Guerzhoy said. 鈥淚 think a lot of us owe a personal debt of gratitude to him.鈥

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U of T community members gather in the lobby of the Schwartz Reisman Innovation Campus to watch the ceremony (photo by Matt Hintsa)

Fourth-year undergraduate student James Wang said he was 鈥渋n awe鈥 as he watched Hinton receive his Nobel Prize. 

鈥淚t makes you feel inspired. You want to be like him, you want to attain the highest level of achievement that anybody can achieve 鈥 and not just to do it for your sake, but also for the academic community at large,鈥 Wang said. 

There were similar expressions of pride and jubilation at U of T Mississauga, where community members congregated to watch the livestream in the atrium of the Communication Culture & Technology Building, and at U of T Scarborough, where a watch party was organized in the Meeting Place. 

As per tradition, the awarding of the Nobel Prize medal and diploma took place on Dec. 10, the anniversary of the death of Alfred Nobel who, in his 1885 will, bequeathed his fortune to create the award.

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Attendees at U of T Scarborough's Nobel watch party hold up signs (photo by Sobica Vinayagamoorthy)

The gold medal for the Nobel Prize in Physics depicts nature in the form of a goddess resembling Isis, her face covered by a veil held up by the Genius of Science. Inscribed are the Latin words, 鈥Inventas vitam iuvat excoluisse per artes,鈥漺hich are translated to: 鈥淚t is beneficial to have improved (human) life through discovered arts.鈥 

The Nobel diploma is crafted on handmade paper and bound in a dark blue leather cover. 

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The Nobel Prize diploma features a unique work of art, with the design decided by the prize-awarding bodies (漏 Nobel Prize Outreach. Photo: Dan Lepp Artist: Lars Eje Larsson Calligrapher: Marie A. Gy枚ri Book binder: Leonard Gustafssons Bokbinderi AB )

Later in the evening, Hinton joined his fellow Nobel laureates, their families, friends and dignitaries for a banquet at Stockholm City Hall. 

In an interview with Swedish national broadcaster SVT on the sidelines of the event, Hinton said it was 鈥渧ery exciting but also very exhausting鈥 to take part in the day鈥檚 Nobel events. 

Reflecting on his upbringing and career, Hinton said his school years 鈥 raised as an atheist who went to a Christian school 鈥 helped prepare him for his early years as a cognitive scientist working in the then-peripheral area of artificial intelligence. 

鈥淔rom a young age, I was surrounded at school, everybody else had a different opinion and I thought they were wrong 鈥 that was very useful when I was studying neural nets,鈥 Hinton said.

鈥淔or many, many years, there were only a few of us who believed in neural nets. Everybody else said this was a ridiculous thing to study. And it turned out we were right.鈥

鈥 with files from Adam Elliot Segal

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