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Ai Job Fair Fall 2025
Thursday, May 22, 2025 3:00 pm - 7:00 pm EDT (GMT -04:00)

Waterloo.AI Job Fair - Spring 2025

Come join the collaborative effort between the Waterloo Data & Artificial Intelligence Institute and its Industry partners, who are hosting the Waterloo.AI Job Fair. This hiring and networking event connects our partnered companies with qualified 4th-year undergraduates, master's, and PhD students focused on AI and Data Science.

Linyang Chu
Monday, July 14, 2025 10:30 am - 11:30 am EDT (GMT -04:00)

Invisible Yet Powerful: Watermarking to Protect Datasets and Models in Machine Learning

Join Lingyang Yu to discuss "Invisible Yet Powerful: Watermarking to Protect Datasets and Models in Machine Learning". This seminar will lead an intriguing conversation and will be taking place at DC 1304 on Monday, July 14th, starting from 10:30 am EDT.

Nikola
Wednesday, July 23, 2025 2:00 pm - 3:00 pm EDT (GMT -04:00)

Incentivizing Collaboration in Federated Learning

Join Nikola Konstantinov to discuss "Incentivizing Collaboration in Federated Learning". This seminar will lead a thought-provoking conversation and will be taking place at DC 1302 on Wednesday, July 23rd, starting from 2:00 pm EDT.

Ilan
Wednesday, September 10, 2025 2:00 pm - 3:00 pm EDT (GMT -04:00)

The Attribution Crisis in LLM Search Results Estimating Ecosystem Exploitation

Join Ilan Straus to discuss "The Attribution Crisis in LLM Search Results Estimating Ecosystem Exploitation". This seminar will lead a thought-provoking conversation and will take place virtually on Wednesday, September 10th, starting from 2:00 pm EDT.

Skyfall Visit Banner
Thursday, November 6, 2025 1:30 pm - 3:00 pm EST (GMT -05:00)

Skyfall.AI Research Talk & Recruitment Session

We’re excited to invite you to an exclusive Research Talk and Recruitment Session with Skyfall.AI, an innovative AI startup founded by the Maluuba team (acquired by Microsoft for $160 M). The company is pioneering the development of the first world model for the enterprise, advancing research in reasoning, planning, and multi-agent systems with LLMs.