Congratulations pour in for Geoffrey Hinton after Nobel win
(Photo by Johnny Guatto/University of Toronto)
Published: October 8, 2024
Reactions to Nobel Prize win began almost immediately after it was announced Tuesday morning.
Known as the “godfather of AI,” the Emeritus of computer science at the University of Toronto shared the Nobel Prize in Physics with John J. Hopfield of Princeton University for groundbreaking work that laid the foundation for machine learning using artificial neural networks.
At TV, students, faculty and staff hosted by the department of computer science in the Faculty of Arts & Science, which Hinton joined as a professor in 1987.
Those in attendance described a revered and beloved figure, citing Hinton’s determination, playful approach to research and excitement for new ideas.
"I really don’t think there’s anyone more deserving of this recognition," said Chris Maddison, assistant professor in TV’s departments of computer science and statistical sciences, and one of Hinton’s former students.
"Geoff was a fantastic adviser. He worked really, really hard to remove the barriers for his students and he was laser focused on ideas and building his own understanding."
Hinton also received congratulations from universities and other research organizations around the world, including the , the and , Hinton’s alma mater.
Meanwhile, friends, colleagues and leaders in politics and business took to social media to express their congratulations for Hinton’s remarkable achievement.
Here’s a snapshot of what some of them said:
“Congratulations to Geoffrey Hinton on this fantastic recognition which is a testament to the importance of supporting basic research and the long journey that can lead to profound discoveries like deep learning that forever change our world. Hinton's phenomenal work has seeded new and innovative research by his former students and many around the world who are using AI to solve global challenges in areas like medicine and climate change.“
–&Բ;Leah Cowen, vice-president, research and innovation, and strategic initiatives at TV
“I would say his approach to science has stuck with me. Everything I know about how to do science, I mostly learned from him. It's his curiosity and playfulness ... that has been most impactful. I would also say his thoughtfulness, thinking about the consequence of the technology and how it affects society is something that we have taken seriously at Cohere as well.”
–&Բ;Nick Frosst, TV alumnus and co-founder of Cohere
“You always knew when Geoff had a new idea. The excitement, the joy radiated out of his office down the hall. The air was buzzing with possibility. He was famous for bursting into a room and pronouncing that, he now finally, after all these years, understood how the brain worked. Above all, he understood that research was a human endeavor. Research is really hard. It becomes personal. It's intertwined with tragedies and compromises. I saw him go through some of his own when I was a student in the group, and I went through my own. I remember when I was going through some health challenges, I went to him and I said, 'Geoff, sometimes it's really hard to go on.’ And he looked at me and he said, ’But we're not going to let that slow us down, will we?’"
– Chris Maddison, assistant professor in TV’s departments of computer science and statistical sciences, Faculty of Arts & Science
“It's a once-in-a-lifetime opportunity to celebrate an award for somebody who has made huge contributions –&Բ;obviously in AI broadly, [and] to this department. No other computer science department can say that they have a Nobel Laureate. But I think beyond that, it really goes back to show how the birthplace of modern AI is Toronto, how this is the place where it all started and how it's upon us as the AI faculty in this department to continue this legacy.”
–&Բ;Michael Brudno, professor in TV’s department of computer science, acting vice-dean, graduate education in Faculty of Arts & Science, a chief data scientist at University Health Network and a faculty member at the Vector Institute
"Geoff is the most influential person in AI, and our field would certainly not be the same without his immense contributions. He is also a tremendous educator, and has mentored many students and postdocs who have gone on to become very influential in the field of AI. Geoff cares deeply about the Toronto and Canadian ecosystem and was the driving force in the formation of the Vector Institute, which we co-founded together. Through our time as colleagues at the University of Toronto, I've deeply admired his commitment to the advancement of AI for good. This recognition is well-deserved and acknowledges his decades of work leading AI innovation and building the foundation for the AI revolution that is happening today.”
–&Բ;Raquel Urtasun, professor in TV’s department of computer science, faculty member and co-founder at the Vector Institute, founder and CEO of Waabi
“I was the first to call Geoff Hinton “Godfather of Deep Learning,” which later became “Godfather of AI.” Thrilled to see him win the Nobel prize together with John Hopfield for AI. Congrats @geoffreyhinton.”
– Andrew Ng, co-founder of Coursera, founder GoogleBrain, former chief scientist at Baidu
“Dr. Hinton is a stalwart in his field. Celebrated as one of the ‘Godfathers of AI’, he brings decades of leading expertise in AI research as a Professor Emeritus at the University of Toronto’s Department of Computer Science, and the current Chief Scientific Advisor at the Vector Institute in Toronto – one of our three national AI institutes. Dr. Hinton is also an outspoken advocate for the responsible development and adoption of AI, educating the world about the benefits and challenges this technology poses.
“Canada is at the forefront of AI technology thanks to trailblazers like Dr. Hinton. His curiosity for discovery and contributions to innovation will inspire generations to come. On behalf of all Canadians, I congratulate him on his remarkable achievement.”
–&Բ;Justin Trudeau, Prime Minister of Canada
"@HopfieldJohn and @geoffreyhinton, along with collaborators, have created a beautiful and insightful bridge between physics and AI. They invented neural networks that were not only inspired by the brain, but also by central notions in physics such as energy, temperature, system dynamics, energy barriers, the role of randomness and noise, connecting the local properties, e.g., of atoms or neurons, to global ones like entropy and attractors. And they went beyond the physics to show how these ideas could give rise to memory, learning and generative models; concepts which are still at the forefront of modern AI research. Their ideas inspired me so profoundly that I decided to choose learning in neural networks for my own research as a graduate student. They motivated me to look for abstract principles that could be as simple as the laws of physics, but could explain biological as well as artificial intelligence. I'm truly delighted for them and for our field."
–&Բ;Yoshua Bengio, professor at Université de Montréal and co-winner of the A.M Turing Award with Geoffrey Hinton and Yann LeCun
“It was the first thing I saw in the morning. I opened my phone, and it was the headline of The New York Times and I was like, ‘Yes!’ I was very excited. I saw his perseverance –&Բ;he always goes with what he believes, not what the flow is – and it's quite inspirational for me. That’s what I look for, especially in the health care area. I want to do something meaningful, something big.”
–Tina Behrouzi, second year PhD student in TV’s department of computer science
“Congratulations to @geoffreyhinton for winning the Nobel Prize in physics!!”
–&Բ;Ilya Sutskever, TV alumnus, co-founder of OpenAI and co-founder and chief scientist at Safe Superintelligence
“Going to Geoff’s office was always fun. Normally when you go to a supervisor's office, you give them a progress update. You go through what your latest results are, you talk about a couple of your ideas and you get some feedback. Going to Geoff’s office was a completely different story. He would be telling you what his latest idea was. He would show you his latest results. And his whole thing was just that he was really excited about it, and his hope was to inspire you enough to start running with it.”
– Kevin Swersky, TV alumnus and research scientist at Google DeepMind
“[Hinton's] pioneering research at the University of Toronto not only revolutionized the field of AI but has also been instrumental in establishing Canada as a global powerhouse in AI research and innovation."
– Tony Gaffney, president and CEO of the Vector Institute
“This is beyond exciting! #AI’s far reaching impact is just beginning.”
–&Բ;Fei-Fei Li, professor of computer science at Stanford University and co-director of Stanford’s Human-Centered AI Institute
“Congratulations to @geoffreyhinton, University Professor Emeritus at@UofT, on winning the 2024 Nobel Prize in Physics! Widely regarded as the “godfather of AI,” Hinton’s pioneering work in artificial neural networks has transformed the global AI landscape. Dr. Hinton’s achievement highlights the best of #Ontario’s world-class talent and thriving AI ecosystem, driving innovation and shaping the future of critical #technology!
– Victor Fedeli, Ontario’s minister of economic development, job creation and trade
"On behalf of the Department and the University, we are very proud to acknowledge Geoff's global achievements and this international recognition. His contributions to machine learning and artificial intelligence have benefited virtually every discipline in science, engineering, social sciences and medicine. As we celebrate the department’s 60th anniversary, this award embodies six decades of impact and innovation in computer science and technology.”
– Eyal de Lara, professor and chair of TV’s department of computer science, Faculty of Arts & Science
“Heartfelt congratulations to Geoff Hinton @geoffreyhinton on winning the Nobel Prize! What an incredible honor! I feel deeply privileged to have had the opportunity to be your PhD student, work with you, and learn from you.”
–&Բ;Russ Salakhutdinov, professor of computer science at Carnegie Mellon University
“Waking up today, seeing that news, just motivates me even more and reaffirms the decision that coming to TV was the absolutely the best decision I could have taken. I think one of the people who had previously worked with him mentioned something along the lines of: Geoff didn't really care too much about pedigree. He cared about ideas, regardless if you have a master's or PhD. And the way he approached his research and the almost childlike playfulness and innocence he had with sort of getting to the answer is something that I really resonate with.”
– Ujan Sen, master’s student in TV’s department of computer science, Faculty of Arts & Science
"I want to extend my heartfelt congratulations to Dr. Geoffrey Hinton on winning the 2024 Nobel Prize in Physics. His groundbreaking work in machine learning has made Canada world-renowned in the field of AI. He is a true inspiration for the next generation of Canadian researchers!"
–&Բ;François-Philippe Champagne, Canada’s minister of innovation, science and industry
“I’m originally a chemist. It was a surprising thing for me that a Nobel Prize is being awarded to a computer scientist. This is a big moment for computer science. I think it will bring recognition to physics-based approaches and core thinking.
“I think it’s great that some universities like TV are willing to believe in crazy ideas. People need to encourage outside-the-box thinking.”
– Ella Rajaonson, PhD student in the Matter Lab with TV professor Alán Aspuru-Guzik
“CDzԲٳܱپDzԲ!”
–&Բ;Olivia Chow, mayor of Toronto
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