Artificial intelligence is a growing field for tech companies and Facebook is the latest to make a significant investment in the platform. The social networking platform recently announced that it will launch a lab in Montreal dedicated to AI research. In a post, Facebook said the team will be part of its Facebook AI Research project and will work alongside more than 100 scientists in California, New York and Paris to develop and work on AI research projects. Along with its general AI research, Facebook said its Montreal lab will specifically focus on reinforcement learning and dialog systems and it will also invest $7 million in Montreal's AI and academic research. We are excited the new lab will be led by renowned Professor Joelle Pineau, who co-directs the Reasoning and Learning Lab at McGill University.
Montréal International used the opportunity of the 31st Neural Information Processing Systems (NIPS) Conference, which had over 25,000 attendees this week in California, to launch a video promoting Greater Montréal as a world leader in AI, before all the international talent and investors at the conference.
The lab will be helmed by Joelle Pineau, a computer science professor at McGill University interested in learning and the co-director of the university's Reasoning and Learning Lab. LeCun says that, like other Facebook AI research labs, the Montreal site will engage with research communities via publications, conferences and collaborations. "Montreal already has an existing fantastic academic AI community, an exciting ecosystem of startups, and promising government policies to encourage AI research. We are excited to become part of this larger community, and we look forward to engaging with the entire ecosystem and helping it continue to thrive," said LeCun.
In connection with the grant of the Canada First Research Excellence Fund (IVADO), pending final budgetary approval, the Department of Computer Science and Operations Research is seeking applications for one full-time tenure-track position (as assistant or associate professor), in areas related to machine learning and its applications (e.g., healthcare, natural language processing, computer vision, robotics). The appointed candidates will have the possibility to join Mila, the largest academic research group in the area of deep learning, worldwide, and become an academic member of the IVADO data science community. Through their membership with Mila, the candidate(s) could also be nominated for a prestigious Canada CIFAR AI (CCAI) Chair. The appointed candidate will be expected to teach undergraduate and graduate courses, supervise graduate students, be active in research, publishing, and the diffusion of knowledge, and contribute to the activities of the University. Mila researchers pioneered deep learning more than a decade ago and remain an academic pillar of this approach to artificial intelligence.