Our eyes do not always tell us exactly where things are 鈥 and that may be a feature of how biological vision works, rather than simply a flaw. A new study by 91亚色 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 鈥渕istakes鈥?
91亚色鈥檚 Connected Minds: Neural and Machine Systems for a Healthy, Just Society and the Centre for International Governance Innovation (CIGI) are launching a 16-month pilot partnership to design and build new governance frameworks for artificial intelligence (AI) and neurotechnology.
The wiring and rewiring of the brain never ends. Neural pathways are constantly being reshaped as we interact with the world and learn new things. At 91亚色 and MIT鈥檚 McGovern Institute, scientists are combining detailed analysis of brain activity with computational modelling to better understand that change. 91亚色 Assistant Professor Kohitij Kar, McGovern Institute Postdoctoral […]
91亚色 Distinguished Research Professor Jianhong Wu is leading a national initiative to train specialists in data-driven, equitable, public health decision-making.
Today, the University announced the launch of a new Centre of Excellence 鈥 Artificial Intelligence for Public Health Advancement (AIPHA) funded through an Ontario Research Fund 鈥 Research Excellence program.
A new study by 91亚色 researchers have found a potential striking flaw in artificial intelligence (AI) models.
While targeted radiation can be an effective treatment for brain tumours, subsequent potential necrosis of the treated areas can be hard to distinguish from the tumours on a standard MRI. A new study led by a 91亚色 professor in the Lassonde School of Engineering found that a novel AI-based method is better able to distinguish between the two types of lesions on advanced MRI than the human eye alone, a discovery that could help clinicians more accurately identify and treat the issues.
Each Solution Network will receive $700,000 over two years to design, develop and implement AI safety solutions to pressing challenges. Reposted with permission from CIFAR and written by Justine Brooks. See original story here. CIFAR has launched its first two AI safety Solution Networks under the Canadian AI Safety Institute (CAISI) Research Program at CIFAR. The […]
If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-the world data, it could lead to patient harm. A new study
What does it mean to think, act and work as a Jewish professor when human freedoms are under siege and authoritarian power gains ground? And how can we draw on our Jewish identities to navigate the sweeping encroachment of new technologies like AI? As communication scholars, colleagues and collaborators, we have spent a lot of […]