ShareThis Page
Education

Carnegie Mellon professor headed to Toronto to lead AI institute

Aaron Aupperlee
| Tuesday, Sept. 26, 2017, 10:39 a.m.
Garth Gibson, a CMU professor, has been named the first president and CEO of the Toronto-based Vector Institute. (Photo from Matthew Plexman for the Vector Institute)
Garth Gibson, a CMU professor, has been named the first president and CEO of the Toronto-based Vector Institute. (Photo from Matthew Plexman for the Vector Institute)

A Carnegie Mellon University professor will return to his northern roots to head a new institute focused on artificial intelligence.

Garth Gibson, a professor of computer science and electrical and computer engineering, will be the first CEO and president of the Toronto-based Vector Institute.

Founded in March, the Vector Institute seeks to use AI to improve the economy and lives of Canadians. The institute is heavily funded by the government and private companies, the Globe and Mail has reported . It has received $50 million from Ontario and $85 million from Canada's biggest banks and tech companies like Alphabet, Google's parent company; Uber; Shopify; and Magna International.

“Vector's mandate calls for a leader with expertise in advanced science, entrepreneurship and business. Dr. Garth Gibson is that leader, and we are very fortunate to welcome him to the Vector Institute,” Ed Clark, the founding chair of the institute, said in a statement.

Toronto has recently emerged as a hub for AI research. Uber announced it would set up an artificial intelligence lab in the city in May.

“Canada has the potential to become a global leader in advancing AI research, development and commercialization, and all of Canada stands to benefit as a result,” Gibson said in a statement. “I am excited about returning home to help lead these efforts with the Vector Institute.”

Gibson will start Jan. 2.

Gibson grew up in Aurora, Ontario, north of Toronto. He came to CMU in 1991 after studying at the University of California, Berkeley. His work at CMU has spanned from data storage to supercomputing to the cloud. In 2012, Gibson formed the Big Learning research group to apply the emerging field of machine learning to big data.

Construction is under way on the institute's offices at the University of Toronto, Reuters reported . The university is where Geoffrey Hinton, an AI pioneer, made breakthroughs in deep learning.

TribLIVE commenting policy

You are solely responsible for your comments and by using TribLive.com you agree to our Terms of Service.

We moderate comments. Our goal is to provide substantive commentary for a general readership. By screening submissions, we provide a space where readers can share intelligent and informed commentary that enhances the quality of our news and information.

While most comments will be posted if they are on-topic and not abusive, moderating decisions are subjective. We will make them as carefully and consistently as we can. Because of the volume of reader comments, we cannot review individual moderation decisions with readers.

We value thoughtful comments representing a range of views that make their point quickly and politely. We make an effort to protect discussions from repeated comments either by the same reader or different readers

We follow the same standards for taste as the daily newspaper. A few things we won't tolerate: personal attacks, obscenity, vulgarity, profanity (including expletives and letters followed by dashes), commercial promotion, impersonations, incoherence, proselytizing and SHOUTING. Don't include URLs to Web sites.

We do not edit comments. They are either approved or deleted. We reserve the right to edit a comment that is quoted or excerpted in an article. In this case, we may fix spelling and punctuation.

We welcome strong opinions and criticism of our work, but we don't want comments to become bogged down with discussions of our policies and we will moderate accordingly.

We appreciate it when readers and people quoted in articles or blog posts point out errors of fact or emphasis and will investigate all assertions. But these suggestions should be sent via e-mail. To avoid distracting other readers, we won't publish comments that suggest a correction. Instead, corrections will be made in a blog post or in an article.

click me