Large language models can often generate plausible mathematical reasoning traces, but reliably identifying the correct solution among multiple candidates remains a key challenge. Existing test-time re...

Mobile robot navigation in dynamic human environments requires policies that balance adaptability to diverse behaviors with compliance to safety constraints. We hypothesize that integrating data-drive...

High-stakes clinical use of large vision-language models (LVLMs) requires reasoning that is grounded in visual evidence and clinical knowledge, not just correct final answers. We introduce OpenMedReas...

Brain Canada announces this year’s Future Leaders cohort – 26 early-career researchers receiving $100,000 each to advance brain and mental health research across Canada

Inuit and First Nations are wary of AI, but it may help them save their languages. Here’s how they’re doing it

Through wearable technology, public art and community collaboration, York researcher Grace Grothaus is making invisible pollution visible to help people understand pollution exposure where they live, work and travel.

A clear understanding of how visual information affects postural sway is crucial for assessing normal balance control and developing diagnostic and rehabilitation methods for balance disorders. Howeve...

Recurrent neural network models trained on a novel motor skill exhibit a persistent shift in preparatory activity that enables faster relearning, without cognitive or contextual cues.

MIT says AI is forcing higher education to rethink what students learn, how they prove it, and which human skills matter most.

Two years ago, Connected Minds invested in an idea. Today, that idea has become a SSHRC-funded research program.  When Meta-Physical Theatre received one of Connected Minds' inaugural Seed Grants in 2024, it brought together engineering, robotics, virtual reality, theatre, and community arts in a way few research projects do. Led by Dr. Matthew Pan and Dr. Michael Wheeler, the team […]

Model Predictive Control (MPC) delivers constraint-aware control, but its reliance on online optimization limits its use on systems with fast dynamics, high-dimensional models, or long horizons. Exist...

Electrical and Computer Engineering professor Matthew Pan devised an exercise to help students navigate the issues around autonomous vehicle design and testing.

While AI coding tools have demonstrated potential to accelerate software development, their use in scientific computing raises critical questions about code quality and scientific validity. In this pa...

A new paper in Psychological Review co-authored by York University’s Kevin Lande argues that despite its prominent place in many people's conscious experience, scientists still don’t fully understand ...

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Putting Dynamics First: State-Space Modelling for Human Neuroscience - harrisonritz/DynamicsTutorial_CCN2026

Machine learning approaches for prediction of epilepsy risk across clinical pathways: a systematic review, Omar, Amr M, Omisade, Antonina, Gallivan, Jason P, Winston, Gavin P

York University researcher James Elder is developing AI-powered robotic vision technology to help social robots better support older adults and their caregivers.