Montreal
- 🎬 Opening
- 📖 Bernhard Schölkopf – From ML for science to causal digital twins
- 📖 Cynthia Rudin – Interpretable Machine Learning and AI, John McCarthy and I
- 📖 Heng Ji – Science-Inspired AI
- 📖 Luc De Raedt – Neurosymbolic AI : combining Data and Knowledge
- 📖 Yoshua Bengio – Avoiding catastrophic risks from uncontrolled AI agency
- 📖 Rina Dechter – Graphical Models Meet Heuristic Search: A Personal Journey into Automated Reasoning
- 🗣️ Panel: How Far Are We Away From Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI)?
- 🎬 Closing
Guangzhou
- 🎬 Opening
- 📖 Toby Walsh – Road blocks towards AGI: computational creativity
- 📖 Harry Shum – Exploring the Low Altitude Airspace: From Natural Resource to Economic Engine
- 📖 Yew Soon Ong – Physically Grounded AI for Scientific Discovery: From Prediction to Generative Design
- 📖 Shing-Tung Yau – Advancing Artificial Intelligence through Modern Mathematical Theories
- 📖 Xin Yao – When Evolutionary Computation Meets Trustworthy Artificial Intelligence
- 🎬 Closing