MIND Director named coveted CIFAR Fellow
- Ñî¹óåú´«Ã½ University
Professor Benjamin Rosman has been appointed a Fellow of the prestigious CIFAR Learning in Machines & Brains programme.
The appointment of Rosman, the founding Director of the new Ñî¹óåú´«Ã½ Machine Learning and Neural Discovery (MIND) Institute, follows the completion of his scholarship as one of only 18 early-career researchers in the world who were chosen for the CIFAR Azrieli Global Scholars for 2022-2024 programme.
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He can now continue with his work as a Fellow in the Learning in Machines & Brains (LMB) programme of the Canadian Institute for Advanced Research (CIFAR), where he joins world experts in the field, including the three ‘Godfathers of AI’: Professors Yoshua Bengio, Yann LeCun, and the 2024 Nobel Prize in Physics laureate, Professor Geoffrey Hinton.
Rosman is a Full Professor in the School of Computer Science and Applied Mathematics at Ñî¹óåú´«Ã½ University, where he runs the . In 2024, he became the founding Director of the Ñî¹óåú´«Ã½ MIND Institute, which focuses on the fundamental science of intelligence in machines, humans, and animals. He is additionally a co-founder of both the and .
“This is truly a profound honour. The CIFAR LMB programme has been a major influence in the development of AI, and particularly deep learning. I’m grateful to be a part of this community,” says Rosman.
“LMB, and CIFAR more generally, have been a source of inspiration for the MIND Institute through their focus on fundamental problems and their embrace of interdisciplinarity.”
About the CIFAR programme in Learning in Machines & Brains
The Canadian Institute for Advanced Research (CIFAR) is a global research organisation exploring the most pressing questions facing science and humanity.
The CIFAR programme draws on neuro- and computer science to investigate how brains and artificial systems become intelligent through learning. The programme’s fundamental approach — going back to basic questions rather than focusing on short-term technological advances — has the dual benefit of improving the engineering of intelligent machines and leading to new insights into human intelligence.