Skip to content
CIFAR header logo
fr
menu_mobile_logo_alt
  • Our Impact
    • Why CIFAR?
    • Impact Clusters
    • News
    • CIFAR Strategy
    • Nurturing a Resilient Earth
    • AI Impact
    • Donor Impact
    • CIFAR 40
  • Events
    • Public Events
    • Invitation-only Meetings
  • Programs
    • Research Programs
    • Pan-Canadian AI Strategy
    • Next Generation Initiatives
  • People
    • Fellows & Advisors
    • CIFAR Azrieli Global Scholars
    • Canada CIFAR AI Chairs
    • AI Strategy Leadership
    • Solution Network Members
    • Leadership
    • Staff Directory
  • Support Us
  • About
    • Our Story
    • Awards
    • Partnerships
    • Publications & Reports
    • Careers
    • Equity, Diversity & Inclusion
    • Statement on Institutional Neutrality
    • Research Security
  • fr
CIFAR Pan-Canadian AI Strategy

Canada CIFAR AI Chairs: Understanding Intelligence

By: Krista Davidson
2 Apr, 2019
April 2, 2019
AI Brain Illustration

Blake Richards is one of 46 Canada CIFAR AI Chairs announced as part of the CIFAR Pan-Canadian AI Strategy, the world’s first national AI strategy, supported by the Government of Canada and led by CIFAR. The prestigious program aims to retain, recruit and support top AI research talent in Canada.

The remarkability of human intelligence motivated Canada CIFAR AI Chair Blake Richards to pursue research in neuroscience and artificial intelligence. Richards’ research uses machine learning to help understand how the human brain learns and processes memories.

“Considering how hard it is to program a computer to behave intelligently, and the fact that billions of humans are remarkably intelligent makes the intersection of neuroscience and AI quite magical,” he says.

Richards is a Fellow in the Learning in Machines and Brains program at CIFAR, a Faculty member at Mila — the Quebec AI Institute, and will be joining McGill University’s School of Computer Science and the Department of Neurology and Neurosurgery as an Assistant Professor in August 2019.

BlakeRichards
Blake Richards

Richards became interested in AI while completing his undergraduate degree at the University of Toronto. Inspired by a love of science fiction and in particular, the 1984 sci-fi novel Neuromancer by American-Canadian writer William Gibson, led Richards to enrol in cognitive science and computer science programs at U of T.

His other motivation — globally renowned AI researcher, Geoff Hinton, currently the VP & Engineering Fellow at Google, Chief Scientific Advisor for the Vector Institute and Emeritus Professor at the University of Toronto. Hinton was instrumental in the discovery of the backpropagation algorithm, a central algorithm to modern machine learning commonly used for training artificial neural networks.

“I found Geoff’s work mesmerizing,” he says. “His approach was really appealing because even though I had become convinced that our own intelligence was quite remarkable, I liked formal mathematical equations, and Geoff’s work was the first time I saw a model with a set of equations that could explain, for example, how you can identify different objects.”

Richards is currently running his own lab at University of Toronto Scarborough, where he is working on a number of research projects aimed at identifying the general principles of intelligence.

“The goal of my lab is to understand the learning algorithms of the brain. The reason we want to understand them is that we’re motivated by the idea that there are general principles of intelligence that apply to any agent, natural or artificial. In the same way that there are a general set of principles that apply to aerodynamics in the movement of airplanes, cars, cheetahs or dogs. Similarly, there are probably general principles for intelligence that apply to humans or other agents.”

According to Richards, learning is a key component to understanding intelligence. Our brains do not have specific neurons that are hardwired to do specific jobs. Instead, we use a distributed representation system meaning that many different neurons can represent many different things.

Neuroscience will have a lot to say about how it is we are able to learn from as few data points as humans, or how to use memories in an intelligent way.”

Understanding human intelligence and how the brain works will help to understand the complexity of neural networks — a framework for understanding how machine algorithms work together to process inputs and carry out tasks.

“If you look at the history of the development of flight, the earliest studies of how to create lift were inspired by birds. Similarly, whenever you’re at ground level and you’re just trying to understand the core problems, one direction to look for inspiration is in nature.

“And I think we’re still at the ground level with AI, and because of that, neuroscience will have a lot to say about how it is we are able to learn from as few data points as humans, or how to use memories in an intelligent way.”

Richards credits the Canada CIFAR AI Chairs Program for recognizing the potential for neuroscience in generating new knowledge of AI. At one time, he remembers having to apply for 23 grants over a three-year period to keep his lab afloat. As a CCAI Chair, Richards can focus more on research and less on administration, as well as support up and coming AI research talent. Bridging the gap between neuroscience and AI is a critical next stop for understanding the complexity of the human brain.

“It’s humbling to be part of this group traditionally reserved for computer scientists,” he says.

He adds: “In 50 years when we’ve gotten to the point where we understand the core principles of intelligence and we understand the brain more, we might see AI in a totally different way.”


Richards has a DPhil (Neuroscience) and a MSc (Neuroscience), both from the University of Oxford, as well as an undergraduate degree in Hon. BSc in Cognitive Science & Artificial Intelligence from the University of Toronto.

  • Follow Us

Related Articles

  • Three 2024 Nobel Laureates among CIFAR’s acclaimed community of researchers
    October 15, 2024
  • Canada CIFAR AI Chairs gather in Banff for annual AICan meeting
    June 20, 2024
  • Indigenous perspectives in AI
    June 18, 2024
  • How does the brain give rise to the mind?
    June 13, 2024

Support Us

The Canadian Institute for Advanced Research (CIFAR) is a globally influential research organization proudly based in Canada. We mobilize the world’s most brilliant people across disciplines and at all career stages to advance transformative knowledge and solve humanity’s biggest problems, together. We are supported by the governments of Canada, Alberta and Québec, as well as Canadian and international foundations, individuals, corporations and partner organizations.

Donate Now
CIFAR footer logo

MaRS Centre, West Tower
661 University Ave., Suite 505
Toronto, ON M5G 1M1 Canada

Contact Us
Media
Careers
Accessibility Policies
Supporters
Financial Reports
Subscribe

  • © Copyright 2025 CIFAR. All Rights Reserved.
  • Charitable Registration Number: 11921 9251 RR0001
  • Terms of Use
  • Privacy
  • Sitemap

Subscribe

Stay up to date on news & ideas from CIFAR.

Fields marked with an * are required

Je préfère m’inscrire en français (cliquez ici).


Subscribe to our CIFAR newsletters: *
    Social Security#
subscribe form

You can unsubscribe from these communications at any time. View our privacy policy.


As a subscriber you will also receive a digital copy of REACH, our annual magazine which highlights our researchers and their breakthroughs with long-form features, interviews and illustrations.


Please provide additional information if you would like to receive a print edition of REACH.


This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to improve and customize your browsing experience and for analytics and metrics about our visitors both on this website and other media. To find out more about the cookies we use, see our Privacy Policy.
Accept Learn more

Notifications