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Visual illusion reveals what today’s AI vision is missing – York University study

Our eyes do not always tell us exactly where things are – and that may be a feature of how biological vision works, rather than simply a flaw. A new study by York University researchers uses a common illusion to ask if artificial intelligence is meant to see more like us, should it make some of the same systematic perceptual “mistakes”?

York U receives nearly $10 million from Wellcome to continue the fight against antimicrobial resistance

In a global health environment where funding is increasingly tight, York University based Global Strategy Lab (GSL) is launching a four-year strategic plan for its initiative, the AMR Policy Accelerator to drive progress against antimicrobial resistance (AMR). Unveiled today by GSL Director Mathieu JP Poirier and Accelerator Managing Director, Geneviève Boily-Larouche, the plan is supported by $9.6 million (£5 million) from Wellcome – a leading global health philanthropy.

Cinespace helps develop York University student talent for film and TV industry

As film lovers get ready for the start of the 51st Toronto International Film Festival (TIFF) tomorrow, York University is celebrating a future full of cinematic dreams thanks to Cinespace Studios’ continued commitment to the support and education of the next generation of local film talent through an in-kind donation. Cinespace is extending an already successful and meaningful partnership with the University by donating the exclusive use of its Stage 1 and 2 by York University Motion Media Studio (MMS) for an additional two years.

Exposure to forever chemicals through sea spray may be overblown

Coastal residents may be worried about exposure to forever chemicals from sea spray during hot summer months, but York University researchers found there was little evidence of per- and polyfluoroalkyl substances (PFAS) contamination from marine aerosols, a finding that surprised them.

Researchers closer to understanding how brains and AI differ in identifying facial expressions

The human brain can recognize a person’s face and their expression in less than a blink of an eye, but current artificial intelligence (AI) models, although fairly accurate at doing the same, use a different process than a brain and that may not be good enough for applications in health care or education, according to new research out of York University.