Who is Yoshua Bengio?

Yoshua Bengio is a French-born Canadian computer scientist who is sometimes referred to as one of the “Godfathers of AI” and “Godfathers of Deep Learning”.

Few people have done more to advance the field of artificial intelligence than Bengio, but the man himself tends to avoid public attention where possible and has openly stated that he is not a fan of the so-called “personalization of science”.

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Education

Bengio spent nine years at McGill University in Montreal between 1982 and 1991. Initially enrolled as a Bachelor of Engineering student, Bengio’s Master’s thesis focused on Boltzmann machines and multi-layer neural networks for speech recognition.

In 1988, he started his Ph.D. in computer science with a particular focus on how convolutional neural networks (CNNs) and hidden Markov models (HMMs) could be combined for automatic speech recognition.

Over the 1980s, Bengio was one of a handful of computer scientists who proposed that computers could one day function in a similar way to the human brain.

Post-doctoral research

In 1991, Bengio undertook post-doctoral research in the brain and cognitive sciences department at the Massachusetts Institute of Technology (MIT).

He subsequently joined AT&T Labs in a similar capacity in 1992 before leaving that company to become a Full Professor at the Université de Montréal in 1993.

There, in 1998, he published the now pioneering paper Gradient-Based Learning Applied To Document Recognition. The paper posited that with the correct architecture, certain algorithms could recognize handwritten characters with more accuracy than conventional technology that used hand-designed heuristics.

Bengio has now been at the Université de Montréal for more than 30 years and has authored hundreds of academic papers that have been cited over 650,000 times.

IVADO Labs

Bengio became Scientific Director of IVADO Labs in 2017, a company that helps other businesses realize the transformative potential of artificial intelligence. Under a unique agreement, IVADO receives support from the Canadian government and founding academic institutions and has access to the country’s network of AI R&D labs.

Whilst at the company, Bengio was named the winner of the $1 million A.M. Turing Award – considered the Nobel Prize of computing – and shared the prize with contemporaries Geoffrey Hinton and Yann LeCun.

Association for Computing Machinery (ACM) president Cherri M. Pancake noted that “The recent growth of and interest in AI is due, in no small part, to the recent advances in deep learning for which Bengio, Hinton, and LeCun laid the foundation.”

MILA

Today, Bengio leads the Montreal Institute for Learning Algorithms (MILA) – a machine learning (ML) research lab he founded in 1993 as Laboratoire d’informatique des systèmes adaptatifs (LISA). Aside from Bengio, notable faculty members include Doina Precup and Joëlle Pineau.

Under Bengio’s leadership, MILA has, among other things, collaborated with IBM to accelerate AI and ML research with open-source software. The collaboration combines the Montreal-based university’s Orion open-source product with IBM’s Watson Machine Learning Accelerator – an AI model and inference tool the company sells to interested parties.

Key takeaways:

Yoshua Bengio is a French-born Canadian computer scientist who is sometimes referred to as one of the “Godfathers of AI” and “Godfathers of Deep Learning”.
Over the 1980s, Bengio was one of a handful of computer scientists who proposed that computers could soon function in a similar way to the human brain. He completed post-doctoral research at AT&T and MIT before authoring a seminal paper in 1998.
Bengio became Scientific Director of IVADO Labs in 2017, a company that helps other businesses realize the transformative potential of artificial intelligence. He is also the founder and current leader of machine learning research lab MILA.

Key Highlights

Background and Contributions:
- Yoshua Bengio is a prominent computer scientist known as one of the “Godfathers of AI” and “Godfathers of Deep Learning.”
- He has made significant contributions to the field of artificial intelligence and deep learning.
Education and Early Career:
- Bengio spent nine years at McGill University, focusing on topics such as Boltzmann machines and multi-layer neural networks for speech recognition.
- His Ph.D. research centered on combining convolutional neural networks (CNNs) and hidden Markov models (HMMs) for automatic speech recognition.
- In the 1980s, Bengio was among the early computer scientists proposing that computers could emulate human brain functions.
Post-doctoral Research and Academia:
- Bengio undertook post-doctoral research at the Massachusetts Institute of Technology (MIT) in the brain and cognitive sciences department.
- He became a Full Professor at the Université de Montréal in 1993 and authored the pioneering paper “Gradient-Based Learning Applied To Document Recognition” in 1998.
IVADO Labs and Turing Award:
- Bengio became the Scientific Director of IVADO Labs in 2017, an organization that helps businesses harness the potential of artificial intelligence.
- He was awarded the A.M. Turing Award, often referred to as the “Nobel Prize of computing,” along with Geoffrey Hinton and Yann LeCun for their contributions to deep learning.
MILA and Research Leadership:
- Bengio leads the Montreal Institute for Learning Algorithms (MILA), a research lab he founded in 1993.
- MILA collaborates with organizations like IBM to advance AI and machine learning research using open-source software.