Learning in Machines & Brains
Learning in Machines & Brains
Three 2024 Nobel Laureates among CIFAR’s acclaimed community of researchers
CIFAR is celebrating the announcement of two new Nobel Laureates with affiliations to CIFAR’s history of exceptional r
Long-time CIFAR Fellow Geoffrey Hinton awarded 2024 Nobel Prize in Physics
Recognition follows decades of visionary research, with Canada benefitting from early support of Hinton’s work
Racing for cause
Why our brains are so good at seeing causality (and what AI requires to catch up)
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