Learning in Machines & Brains
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Learning in Machines & Brains
Leading with generosity
A conversation with Kyunghyun Cho on his major breakthrough in machine translation.
AI in biodiversity research crucial to our survival
Canada CIFAR AI Chair Graham Taylor is using computer vision to better understand and protect our planet’s biodiversit
A Culture of Ethical AI
Fostering a culture of ethical AI will be critical to translating ethics frameworks into actionable decisions.
A focus on ethics in AI research
Actions taken by AI research leaders could have a cascading effect through the entire discipline.
Training AI: Q&A with Chelsea Finn
Chelsea Finn is a leading AI researcher defining the new field of meta and multi-task reinforcement learning (RL)
CIFAR receives grant from Alfred P. Sloan Foundation to support AI research
The Learning in Machines & Brains program has been awarded a $475,000 USD grant to support new research on causality.
AI Research Enables Astronomy Breakthrough
Bernhard Schölkopf co-developed a machine learning approach to identify exoplanets
CIFAR receives grant from Alfred P. Sloan Foundation to support research for more versatile AI systems
The CIFAR Learning in Machines & Brains program has been awarded a $475,000 USD grant from the Alfred P. Sloan Foundatio
Ethical AI: A Discussion
While AI technologies are contributing to new products and services across industries that bring many potential benefits
The memory hunters
In their lab at Toronto's Hospital for Sick Children, CIFAR fellows and neuroscientists Sheena Josselyn and Paul Frankla
Understanding machine behaviour
CIFAR Fellows Hugo Larochelle and Matthew Jackson argue for a new scientific discipline to study the broad effects of AI
Three CIFAR fellows earn prestigious Killam Program awards
Yoshua Bengio, Stephen Scherer and Matt Dobbs among honorees of the 2019 Killam Program