ReportWire

Tag: Yoshua Bengio

  • A.I. Pioneer Yoshua Bengio Becomes 1st Living Scientist With 1M Google Scholar Citations

    [ad_1]

    Yoshua Bengio was also a recipient of the 2018 Turing Award. Andrej Ivanov/AFP via Getty Images

    Michel Foucault, the late French philosopher and historian, long held the distinction as the only researcher to surpass more than one million citations on Google Scholar. These days, however, Foucault has company: A.I. pioneer Yoshua Bengio.

    Last month, Bengio became the first living scientist to have his work cited more than one million times on Google Scholar. Citations to his research have surged in recent years, with more than 730,000 recorded since 2020 and roughly 135,000 in 2024 alone.

    Often dubbed one of the “Godfathers of A.I.,” Bengio’s work in deep learning helped lay the foundations for much of today’s A.I. revolution. A founder of the Mila-Quebec AI Institute and a professor of computer science at the University of Montreal, Bengio recently launched LawZero, a nonprofit focused on developing safety-centered A.I. systems to assist in scientific research.

    “This Google Scholar citation count reflects the extensive impact of Professor Bengio’s research in deep learning, which serves as a foundation for countless other scientific and technological advancements worldwide,” said Hugo Larochelle, who earlier this year succeeded Bengio as scientific director of Mila, in a statement.

    Bengio, alongside fellow A.I. researchers Geoffrey Hinton and Yann LeCun, received the 2018 Turing Award—often referred to as the “Nobel Prize of Computing”— for their breakthroughs in neural networks. The trio also co-authored Bengio’s second most-cited paper. Hinton, who currently has nearly 980,000 citations on Google Scholar, is also on track to soon join Bengio in the million-citation club, according to Mila.

    Researchers in fields like A.I., machine learning and cancer research are more likely to accumulate high citation counts due to widespread interest and rapid publication cycles, said Daniel Sage, a mathematics professor at the University of Buffalo who studies citation metrics.

    Top-cited scholars tend to work “in certain fields which have a lot of people working in them, and a lot of papers being produced,” he told Observer.

    The growing fascination with A.I. has even boosted citation counts of researchers outside the field. For example, Terence Tao, a renowned mathematician and Fields medalist, has earned more than 100,000 Google Scholar citations. Many of his top-cited papers, however, were actually published in electrical engineering or computer science journals, rather than pure mathematics, said Sage.

    “It’s apples and oranges comparisons if you try to compare people in A.I. vs. people in various other fields,” he added, noting that Google Scholar generally reports higher citation counts than other data providers such as Web of Science due to its broader indexing criteria.

    That said, reaching one million citations remains a remarkable achievement. “It’s still incredibly impressive,” said Sage. “One has to take these kinds of things with a grain of salt, but it is a sign both of the hotness of the field and the quality of the work within the field.”

    A.I. Pioneer Yoshua Bengio Becomes 1st Living Scientist With 1M Google Scholar Citations

    [ad_2]

    Alexandra Tremayne-Pengelly

    Source link

  • Hugo Larochelle Succeeds Yoshua Bengio to Lead Canada’s Top A.I. Lab: Interview

    [ad_1]

    Hugo Larochelle assumed his new role as head of Mila on Sept. 2. BENEDICTE BROCARD

    Hugo Larochelle first caught the A.I. research bug after interning in the lab of Yoshua Bengio, a pioneering A.I. academic, during his undergraduate studies at the University of Montreal. Decades later, Larochelle is now succeeding his former mentor as the scientific director of Quebec’s Mila A.I. Institute, an organization known in the A.I. field for its deep learning research.

    “My first mission is to maintain the caliber of our research and make sure we continue being a leading research institute,” Larochelle, who began his new role yesterday (Sept. 2), told Observer.

    Larochelle will oversee some 1,500 machine learning researchers at Mila, which Bengio founded in 1993 as a small research lab. Today, the institute is a cornerstone of Canada’s national A.I. strategy alongside two other research hubs in Ontario and Alberta.

    Larochelle “has the rigor, creativity and vision needed to meet Mila’s scientific ambitions and accompany its growth,” said Bengio, who left the institute to focus on a new A.I. safety venture he launched in June, in a statement. “Our collaboration goes back more than 20 years, and I am delighted to see it continue in a new form.”

    After his early work with Bengio, Larochelle completed a postdoctoral fellowship under Geoffrey Hinton at the University of Montreal. Bengio, Hinton and Yann LeCun went on to win the 2018 Turing Award for their contributions to neural networks—a field once overlooked but now central to the A.I. revolution.

    Larochelle’s own career reflects that shift. His first paper was rejected for relying on neural networks, but as their applications became clear, the field’s importance skyrocketed. “We felt like we were at the center of what’s important in the field, and that was exhilarating,” said the Larochelle.

    He went on to co-found Whetlab, a machine learning startup later acquired by Twitter (now X), before leading A.I. research at Google’s Montreal office in 2016. While most of his eight years at Google were highly productive, Larochelle noted that growing competition and a stronger focus on consumer products made publishing more difficult—a key factor in his decision to leave for Mila. “My passion was really scientific discovery, and simultaneously, I heard that Yoshua was going to find a successor,” he said.

    In his new role, Larochelle wants to build on Montreal’s tradition of scientific discovery. “I want to set the condition that we make the next one in the next five years, and that’s really the foundation of everything else we do,” he said. He also highlighted interests in advancing A.I. literacy, developing tools for biodiversity and accelerating scientific research.

    More broadly, Larochelle hopes to ensure that innovation moves faster—both across the industry and within Mila. “There’s definitely an interest in also making sure that our researchers, who might be interested in taking their own research and doing a startup based on what they’ve discovered, are well equipped in doing that,” he said.

    Hugo Larochelle Succeeds Yoshua Bengio to Lead Canada’s Top A.I. Lab: Interview

    [ad_2]

    Alexandra Tremayne-Pengelly

    Source link