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Canada CIFAR AI Chair - AI Science

Martha White, Amii: Tuning AI for real-world use

By: Erin Vollick
6 Oct, 2023
October 6, 2023
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Martha White, Canada CIFAR AI Chair, Amii

Picture a water filtration system or electric storage system that, through arrays of sensors, are monitored and controlled by AI agents. Drawing continuous data from their environments, the agents adjust conditions — from water flow rates to how much electricity is released into a grid — in real time, learning as they go and tuning their systems to peak efficiency. Canada CIFAR AI Chair Martha White’s research into reinforcement learning tackles some of the fundamentals necessary to building AI programs that can extend the systems’ lifespan and optimize operations 24 hours a day.

“Canada CIFAR AI Chair appointments help researchers to push forth their visions. For me to tackle the question, ‘how do I bring reinforcement learning into the real world?’ I need a larger team, and CIFAR funding helps me build that.”

Martha White, Canada CIFAR AI Chair, Amii

White focuses on developing AI agents that learn continually and adjust to ever-changing conditions. A key question she explores is how to leverage large sets of past operational data so agents can learn faster and are more robust. Her conclusions have been implemented in a pilot water filtration system, which will move to live testing with industry partners. White’s trainee Vincent Liu, meanwhile, is partnering with startup EolRobotics to develop AI-enabled energy storage systems that can meet growing global energy demands — and potentially revolutionize green energy through battery-derived electricity grids. With a deep commitment to finding AI solutions to climate change, White also co-leads the Canada CIFAR AI Chairs Working Group in the priority area of AI for Energy and the Environment.

For White, CIFAR’s concentration of AI research resources are vital to enabling ambitious research. “Canada CIFAR AI Chair appointments help researchers to push forth their visions. For me to tackle the question, ‘how do I bring reinforcement learning into the real world?’ I need a larger team, and CIFAR funding helps me build that,” she says.

More profiles of the Canada CIFAR AI Chairs

AI Science

  • Jeff Clune, Vector Institute: AI that learns to improve itself
    October 09, 2023
  • Adam Oberman, Mila: Leveraging math to address AI reliability
    October 09, 2023

AI for Energy & the Environment

  • Graham Taylor, Vector Institute: Using AI to track insect biodiversity loss in real time
    November 29, 2024
  • Marlos C. Machado, Amii: Using AI to make technology smarter and cleaner
    October 10, 2023
  • David Rolnick, Mila: Protecting the world’s biodiversity with AI
    October 09, 2023
  • Gennady Pekhimenko, Vector Institute: AI that teaches itself to be faster and cleaner
    October 09, 2023

AI for Health

  • Ross Mitchell, Amii: AI note-taking for doctors
    November 16, 2024
  • Russell Greiner, Amii: AI that makes precision medicine more precise
    October 09, 2023
  • Parvin Mousavi, Vector Institute: Unlocking AI-powered approaches to cancer treatment and detection
    October 09, 2023
  • Jian Tang, Mila: Finding new drugs with AI
    October 09, 2023

Responsible AI

  • Reihaneh Rabbany, Mila: Detecting misinformation online
    January 31, 2025
  • Foutse Khomh, Mila: Making the world’s AI safer
    October 09, 2023
  • Sheila McIlraith, Vector Institute: Building safe AI for the generations to come
    October 09, 2023
  • Alona Fyshe, Amii: AI that learns the way babies do
    October 09, 2023
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