U of T establishes new Hinton Chair in Artificial Intelligence thanks to generous support from Google

Geoffrey Hinton at U of T’s St. George campus. Photo by Nick Iwanyshyn.

The University of Toronto is proud to announce that it has established the Hinton Chair in Artificial Intelligence, made possible by $10 million in funding from Google.

This new chair will honour the extraordinary legacy of University Professor Emeritus and Nobel laureate Geoffrey Hinton at U of T and Google by enabling the university to recruit and retain another brilliant, internationally recognized AI expert to make profound contributions to the field.

“On behalf of the university, I would like to express our deepest gratitude to Google for this wonderful investment,” said Melanie A. Woodin, University of Toronto president. “This new chair will enable us to build on Geoff Hinton’s historic contributions in artificial intelligence and to advance our record of transformational research in fields of crucial importance to the world.”

U of T is matching Google’s support with an additional $10 million in funding. This historic $20-million investment makes the Hinton Chair in Artificial Intelligence one of the University of Toronto’s most prestigious and generously supported advanced research roles, with substantial endowed support for a leading-edge AI researcher and additional funds to drive fundamental discoveries and insights — creating the intellectual underpinnings necessary to take AI to the next level.

“Google is proud to partner with the University of Toronto in establishing this endowed chair, recognizing the extraordinary impact of Geoff Hinton, whose Nobel Prize-winning work laid the foundation for modern artificial intelligence,” said Jeff Dean, chief scientist at Google DeepMind and Google Research. “On a personal level, it was a delight to have Geoff as a colleague for more than a decade. This chair will empower world-class academic scholars to accelerate breakthrough innovations and drive responsible research that shapes a future where AI serves a common good.”

The Hinton Chair is the first in the university’s newly developed Third-Century Chairs program, a strategic effort established on the cusp of U of T’s bicentennial to attract and retain visionary scholars who can transform disciplines, shape global discussions, improve lives and strengthen Canada’s capacity to prosper. With competition for talent at an all-time high, the program will help the university amass critical expertise in areas essential to the country’s future — a key priority shared by the Canadian government, which recently announced a $1.7-billion commitment to attract top global research talent.

The Hinton Chair will also help U of T recruit, teach and train some of the world’s most talented students in the field, fuelling innovation in AI applications across medicine, engineering, discovery science, the humanities and more, expanding the university’s AI networks and international partnerships and sparking a new wave of promising AI startups.

Building on Hinton’s revolutionary research

The Hinton Chair in Artificial Intelligence aims to support the same brilliant, exploratory research that its namesake has pursued during his time at the University of Toronto and at Google.

After receiving his PhD in Artificial Intelligence from the University of Edinburgh in 1978 and completing several years of postdoctoral work in the United Kingdom and the United States, Geoffrey Hinton came to the University of Toronto in 1987 as a fellow of the Canadian Institute for Advanced Research (CIFAR). There, along with several graduate students, he accelerated his expansive work on artificial neural networks as a potential pathway for advancing AI, developing core concepts such as: backpropagation algorithms; distributed representations; time-delay neural nets; mixtures of experts, variational learning and deep learning; and, most famously, Boltzmann machines.

In the 2000s, Hinton’s ideas began to yield extremely promising results. In March 2013, as more tech companies recognized the promise of artificial neural networks, Hinton joined Google as a vice president and engineering fellow, where he would stay for the next decade, splitting his time between the company and U of T.

Although many people have contributed to the current state of AI, arguably none was more important than Hinton, whose decades-long research forms the foundation of modern artificial intelligence and its myriad applications across nearly every discipline and sector. He is also responsible for the “Hinton effect,” which saw many of his students go on to lead AI advances in universities and companies across the globe.

“I am grateful for having been able to pursue my research at the University of Toronto, which afforded me the time and resources to develop the ideas that would eventually grow into the success of neural nets,” said Geoffrey Hinton. “I am encouraged that the Hinton Chair in Artificial Intelligence will support the next generation of AI research in the same vein, allowing ideas of great promise to germinate for the benefit of all humanity.”

Together with John J. Hopfield, Hinton won the Nobel Prize in Physics in 2024 for his foundational work in enabling deep learning and propelling the field to its current peak.

University of Toronto — a world leader in AI

Based at the Faculty of Arts & Science’s Department of Computer Science — ranked 12th in the world according to the 2025 QS World University Rankings by Subject and a global leader in deep learning and generative AI — the Hinton Chair in Artificial Intelligence will leverage U of T’s and Toronto’s substantial and widely recognized strengths in AI.

“It’s thrilling to consider the astonishing possibilities of welcoming a globally leading AI researcher into this setting,” said Interim Dean, Faculty of Arts & Science Stephen Wright. “At the Department of Computer Science, the chair-holder will be surrounded by a remarkable concentration of scientific knowledge and creative skills, and a deep, proven track record of research excellence. It’s an ideal platform for charting new pathways and pursuing breakthrough discoveries in our shared goal of a brighter technological future for all.”

The University of Toronto is home to CIFAR AI Chairs and Canada Research Chairs in AI and has spurred several cutting-edge AI startups such as BlueDot (infectious disease intelligence), Waabi (autonomous trucks) and Deep Genomics (RNA-focused AI for disease detection). In addition to Hinton’s Nobel Prize, U of T’s faculty members and graduates have earned many other distinctions, including two Turing Awards, two of the three Herzberg Gold Medals ever awarded to computer scientists, and 15 Sloan Research Fellowships.

The university also consistently attracts and trains the best and most diverse cohort of undergraduate and graduate students from around the world, with hundreds pursuing AI-related studies across the university.

​In addition, U of T is home to an array of AI-focused research initiatives such as the Acceleration Consortium, the Schwartz Reisman Institute for Technology and Society, the Data Sciences Institute and the Temerty Centre for AI Research and Education in Medicine. The university also maintains a close partnership with the Vector Institute, a globally renowned organization co-founded by Geoffrey Hinton that empowers researchers, businesses and governments to develop and adopt AI responsibly.

An impactful partnership: Google and U of T

Establishing the Hinton Chair in Artificial Intelligence is the latest instance of U of T and Google’s longtime partnership in supporting discovery-based research. Over the years, Google has engaged many AI-focused U of T alumni and academic leaders, including Hinton, and the two organizations are founding partners in Toronto’s Vector Institute. Previous funding from Google has helped position the University of Toronto as a preeminent centre for advanced research in AI, and this new chair will greatly expand this impact.

“We are extremely grateful to Google for partnering with us to establish a chair dedicated to cutting-edge research on the defining technology of our time, which will help generate societal and economic benefits for communities across the planet,” said David Palmer, U of T vice-president, advancement. “Hinton himself once said that real breakthroughs come from people focusing on what they’re excited about, and the Hinton Chair will honour this example by providing unprecedented support for the next era of elemental, curiosity-driven work in artificial intelligence.”

— Original story by the University of Toronto

Alán Aspuru-Guzik honoured with Heinrich Emanuel Merck Award for Computational Sciences

The Heinrich Emanuel Merck Award was awarded to Alán Aspuru-Guzik on June 28, 2025, recognizing groundbreaking innovation in computational sciences.

Alán Aspuru-Guzik talks about the interplay of chemistry and information in Lindau. (photo: supplied)

According to a press release from the science and technology company Merck, the award honours “extraordinary contributions in the integration of advanced computational methods with scientific discovery.” It celebrates current innovators in tribute to namesake Heinrich Emanuel Merck’s legacy of scientific curiosity and innovation.

Aspuru-Guzik is jointly appointed as Professor at the Department of Chemistry and the Department of Computer Science. Receiving the prize in Lindau, Switzerland, he said, “My research interests are in areas that are poised to disrupt the chemical sciences. We have pioneered algorithms for near-term quantum computers, artificial intelligence and robotics for new materials. Recently, we have focused strongly on AI agents that do science.”

“Receiving the Heinrich Emanuel Merck Award is a testament to the exceptionally talented, motivated and collaborative Matter Lab research group that we have assembled at the University of Toronto.”

Laura Matz, chief science and technology officer at Merck, also spoke of cooperation and collaboration, “Today we celebrate not just individual achievement, but a vision for a future where scientific breakthroughs transform lives and create new pathways for innovation.”

Aspuru-Guzik was lauded at the event as “a leading researcher, at the intersection of quantum information, quantum computing, artificial intelligence, automation and chemistry, dedicated to accelerating scientific discovery and finding novel materials.”

“His work includes utilizing generative machine learning to optimize wave functions for quantum simulations,” read the press release. “Additionally, he has made significant contributions in creating self-driving laboratories (SDLs) that leverage Al and automation.”

The Matter Lab’s innovative work, it noted, includes integrating quantum components into drug discovery pipelines, showcasing the potential of hybrid quantum-classical systems in generating viable drug candidates.

Aspuru-Guzik delivered a talk at the Lindau award ceremony, entitled, “The materials for tomorrow, today.” In it, he argued that the interplay between chemistry and information started four billion years ago and continues evolving thanks to the availability of AI algorithms. "Eventually they become autonomous research scientists."

— Original story by Alyx Dellamonica for the Department of Chemistry

U of T computer scientists highlighted in BetaKit's 'Most Ambitious' issue

(Photo: Matthew Volpe)

More than two dozen startups and entrepreneurs from the University of Toronto community are recognized in BetaKit’s first ‘Most Ambitious’ issue.

The online tech publication’s special issue aims to spotlight the “big swings” taken in tech and innovation in Canada.

Of the 85 tech players mentioned in the issue, nearly one third have a connection to U of T.

Among the people and companies recognized with ties to the Department of Computer Science are:

• Waabi, the autonomous trucking company founded by Professor Raquel Urtasun

• Cohere, the enterprise AI company launched by alumni Nick Frosst and Aidan Gomez; and former computer science student Ivan Zhang

• Associate Professor Jimmy Ba, founding member of xAI

• Alumnus and recent honorary degree recipient Ilya Sutskever, co-founder of OpenAI, and more recently, Safe SuperIntelligence

“This list demonstrates just how integral U of T-affiliated companies are to Canada’s innovation landscape in crucial fields ranging from sustainability and space tech to health care and transportation,” says Leah Cowen, vice-president, research and innovation, and strategic initiatives.

“The university has long been committed to generating big ideas and game-changing research — and then providing the support necessary for ambitious entrepreneurs to move those discoveries out of the lab and into the world where they can have the most impact.”

With files from U of T Celebrates

Ilya Sutskever, a leader in AI and its responsible development, receives U of T honorary degree

From co-authoring seminal research papers to co-founding the research organization that developed ChatGPT, few people have been as influential in shaping the artificial intelligence landscape — and conversations around the technology’s responsible use — as Ilya Sutskever.

As a University of Toronto graduate student, Sutskever co-authored one of the most cited academic papers of this century and has since played a central role in driving the development and adoption of a technology that is transforming the economy, society and people’s everyday lives.

Today, for his foundational work and global impact as a computer scientist and artificial intelligence (AI) visionary, and for his outstanding service as an advocate of safe and responsible AI, Sutskever will receive a Doctor of Science, honoris causa, from U of T.

Born in Russia and raised in Israel, Sutskever became fascinated with computing at age five, when he first laid eyes on a computer — “I was utterly enchanted,” he told U of T Magazine in 2022 — and his interest continued into his teen years, when he emigrated to Canada with his family.

Even as a teenager, Sutskever envisioned building computers with human-like capabilities. “I remember thinking a lot about the nature of existence and consciousness … about souls and intelligence. I felt very strongly that learning was this mysterious thing: humans clearly learn, computers clearly don’t.”

Admitted into U of T’s math program out of Grade 11, Sutskever immediately immersed himself in upper-year courses. Graduating with an honours bachelor of science degree in mathematics in 2005, he went on to earn a master’s degree and PhD in computer science at U of T — the latter under the supervision of University Professor Emeritus Geoffrey Hinton, winner of the 2024 Nobel Prize in Physics.

Hinton recalls being hugely impressed with Sutskever in their early interactions. In an interview with the Globe and Mail, the “godfather of AI” recounted giving Sutskever — who had knocked on his door and expressed an interest in joining his lab — a paper to read and being taken aback by the clarity of his responses. “His immediate reaction to things were reactions that had taken experts in the field quite a long time to come up with,” Hinton said.

Among Sutskever’s research projects at U of T was a program that used neural networks, which are computational models inspired by the human brain, to learn about language and generate text — a crude forerunner to ChatGPT. “I give it an initial segment of text. And I say, from this text, keep on producing text that you think looks like Wikipedia,” he told U of T Magazine in 2010.

Then, in 2012, Sutskever, Hinton and another of Hinton’s graduate students, Alex Krizhevsky, developed AlexNet, a convolutional neural network that was trained to identify objects in a purpose-built image database with far more accuracy than competing approaches — effectively changing the AI game overnight. (The source code for AlexNet is to be preserved at the Computer History Museum in Silicon Valley.)

(Photo: Lisa Sakulensky)

Sutskever then joined Hinton’s spinoff company DNNResearch, which was later acquired by Google. Brought on as a research scientist at Google Brain, he contributed to yet another AI milestone: Training a computer program called AlphaGo, powered by deep neural networks, to play the ancient strategy game of GO — and then beating a professional (human) player. He also co-developed sequence-to-sequence models, which are foundational to current machine translation systems.

In 2015, Sutskever co-founded OpenAI, serving as its research director and later as chief scientist. Under his leadership, OpenAI introduced the large language models that power ChatGPT, the generative AI chatbot now used by millions around the world for everything from drafting emails and sourcing recipes to writing computer code. And he played a central role in the creation of large reasoning models, which perform complex reasoning tasks.

Sutskever left the organization last year and co-founded Safe SuperIntelligence, a company that is developing safe AI systems with superhuman capabilities.

“We plan to advance capabilities as fast as possible while making sure our safety always remains ahead,” Sutskever and co-founders said in a statement announcing the venture.

Sutskever’s achievements have led to him being elected to the prestigious Royal Society in the UK and being named among TIME’s 100 Most Influential People in AI in 2023 and 2024, among other honours.

— Original story by Rahul Kalvapalle for U of T News