On September 22, 2019, the second AI Squared Forum will be held in downtown Toronto.  The theme of this year’s forum is “AI in Action”, which will be presented through various sessions, including guest speakers panels, paper reading seminars, workshops,  tutorials and AI company exhibitions. It will bring the participants unique experience and networking opportunities. 

Featuring speakers and exhibition participants from the following universities and companies:


Keynote and Theme Speech Track (Morning and Afternoon)

Speakers from Google Brain, Borealis AIElement AI, Uber, Vector Institute, Nvidia, University of Toronto etc, will be presenting latest AI topics in business, research, technology, and social impact.

Some speakers  to take the stage at AI Squared Forum 2019 (subject to change) include:


  • Graham Taylor , Associate Professor at University of Guelph, and Canada Research Chair in Machine Learning Canada, Faculty Member, Vector Institute, CIFAR AI Chair, Visiting Faculty, Google Brain

  • Pascal Poupart , Professor in the David R. Cheriton School of Computer Science at the University of Waterloo, Faculty Member, Vector Institute, Canada CIFAR AI Chair, Research Director, Borealis AI

  • Richard Zuroff, Element AI, Director AI Advisory and Enablement,

  • Sanja Fidler , Director of AI, NVIDIA, Assistant Professor, University of Toronto, Faculty Member, Vector Institute, Canada CIFAR Artificial Intelligence Chair

  • Raj Verma, Head of Fintech at Uber Toronto, MsC Computer Science at University of Toronto Co-Supervised by Geoffrey Hinton

  • Ofer Shai, Ph.D. Deloitte & Douche, Chief AI Officer | Omnia A

  • Yevgeniy Vahlis,Head of Artificial Intelligence Technology at BMO

  • William Chen, Director, Business Insights at Millennium One Solutions.

  • Amit Deshwar, Director of Predictive Systems at Deep Genomics

  • Stephen MacKinnon, VP of Research and Development at Cyclica

  • Oren Kraus, Co-Founder Phenomic AI, PhD from Brendan Frey’s lab

  • Vijay Dakshinamoorthy, Director of Data Science, Omnicom Media Group

  • Sheldon Fernandez, CEO of DarwinAI

  • Hongqiang Zhao, CFO Bairong Inc,

AI Workshop And Panel Track (Afternoon)


We will  invite Xiaozhou Wang, nicked named "Little Boat" on Kaggle, to present a practical machine learning workshop. Xiaozhou is ranked 4th globally overall on Kaggle, with the highest Kaggle title "Grand Master"  granted. He is the Co-founder & Chief Data Scientist of Quartic.ai



AI Student Research Panel

Are you curious about what it is like to be an undergraduate or graduate machine learning researcher? We have invited five ML student researchers who have worked at Mila, Vector Institute, Nvidia, and Princess Margaret Cancer Research. They will discuss their insights after going into these institutes and organizations and share some of their strategies for personal development. The panelists will answer both moderator-curated questions and questions from the audience. Come meet with them and ask them any questions you have been searching for answers from experienced peers! 


Research Talk

Sicong Huang, is a student at University of Toronto student, and a visiting student at MIT’s CSAI Lab and Department of Brain and Cognitive Sciencel. In this talk, Sicong will present their work on musical timbre transfer, which was published on ICLR 2019. They aim to manipulate the timbre of a sound sample from one instrument to match another instrument while preserving other musical content, such as pitch, rhythm, and loudness. He will also share the final result as well as some of the challenges while working on this project. 


Paper Study Track (Afternoon)

Authors from University of Toronto, MIT, University of Oxford, University of Waterloo, working together with Google Brain, Nvidia, Vector Institute, RSVP.ai,  etc,  supervised by Geoffrey Hinton, Jimmy Ba, and Sanja Fidler etc, will be presenting their latest papers.

  • Simon Kornblith, Google Brain (previouslygraduate student from MIT), paper published with Google Brain, supervised by Geoffrey Hinton (Paper: Similarity of Neural Network Representations Revisited)

  • Michael Zhang, University of Toronto (previously graduate from UC Berkeley), paper published with University of Toronto, supervised by Jimmy Ba and Geoffrey Hinton (Paper: Lookahead Optimizer: k steps forward, 1 step back)

  • Ivan Zhang,  University of Toronto, paper published with Oxford University, University of Toronto, Google Brain, supervised by Geoffrey Hinton (Paper: Learning Sparse Networks Using Targeted Dropout)

  • Han Ling, Jun Gao, University of Toronto, paper published with  University of Toronto, Vector Institute, Nvidia,  supervised by Sanja Fidler (Paper: Fast Interactive Object Annotation with Curve-GCN)

  •  Zian Wang, University of Toronto, paper published with University of Toronto, Vector Institute, Nvidia, supervised by Sanja Fidler (Paper: Object Instance Annotation with Deep Extreme Level Set Evolution)

  • Chaoqi Wang, University of Toronto, paper published with University of Toronto, Nvidia, supervised by Roger Grosse and Sanja Fidler (Paper: EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis)

  • Jenny LiuUniversity of Toronto, paper published with University of Toronto and Vector institute, supervised by Jimmy Ba (Paper: Graph Normalizing Flows)

  • Towaki Takikawa, University of Waterloo, paper published with University of TorontoGoogle ResearchNvidia, supervised by Sanja Fidler (Paper: Gated-SCNN: Gated Shape CNNs for Semantic Segmentation)

  • Luchen Tan, Detecting Customer Complaint Escalation with Recurrent Neural, Networks and Manually-Engineered Features, Paper published with University of Waterloo, RSVP.ai, JD.com, Simon Fraser Univeersity, Tsinghua University

Exhibitions (Morning and Afternoon)

Several AI companies will be here to demonstrate their products, give out free gifts, and show their open job positions.  You will have a chance to speak directly with people from these companies about their visions, products, job requirements, etc. 

  • Borealis

  • DarwinAI

  • RSVP.ai

  • Millennium One Solutions

  • SIHAN Tech Inc

  • Bairong Inc

  • Aggregate Intellect

  • University of Toronto Machine Intelligence Student Team 

  • and more to be confirmed

For more detail and latest update of the forum, please visit http://www.aisquaredforum.ca

Tickets will be limited, please reserve today!

Please contact info@acsip.org if you run into any problems with discounts, orders, or if you have any questions. 

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