World Models: How Generative AI Learns to Simulate Reality
Date to be announced · Time to be announced
Generative AI is moving beyond text and images into simulating entire environments. This session breaks down "world models," AI systems that learn to represent scenes, predict how situations evolve, and generate realistic synthetic data. We'll cover the core architectural building blocks behind leading approaches and recent published results showing double digit gains in accuracy and output quality. The concepts apply directly to synthetic data generation and scenario testing in any AI heavy domain. Organizer timezone/event-window conflict: normalized date/time deliberately null. Published local schedule: 14:45–15:15. Timezone requires verification.
Session status: scheduled
Room: MPR A
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Speakers and their event affiliations
- Tamoghna Das
Affiliation at this event: Aptiv
Parent event
In person · Microsoft Toronto, Toronto, Ontario, Canada
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