RECAP

DAY 3 RECAP

📌 Day 3 of the Asian Conference on Machine Learning (ACML) 2024 offered another exceptional lineup of presentations and discussions, highlighting cutting-edge advancements in machine learning research.

🔶 The day began with the oral presentation sessions (#16, #17, #18) showcased cutting-edge research on machine learning, sparking engaging discussions and valuable insights.

🔶 The day's highlight was Plenary session #04, featuring an inspiring talk by Prof. Yisong Yue title "Neurosymbolic AI for Safety-Critical Agile Control".

Prof. Yisong Yue's talk centered on autonomous control, beginning with a compelling comparison to modern aircraft, which rely on mathematically developed controllers with precise safety guarantees. He highlighted the staggering $180 billion invested in autonomous driving research by 2022 and shared insights from his years in the industry before transitioning back to academia. Prof. Yue addressed control challenges in deep learning, presenting examples such as two-legged walking robots, one-legged hoppers, drone swarms, and low-altitude drone flight—situations where traditional control struggles with complex or dynamic physics.

He emphasized the importance of adapting neural networks within controllers to enhance stability and prevent instability. Concluding his talk, he showcased how his control methods extended to creative applications, presenting short classical music pieces generated by his team.

📍 As the day wrapped up, participants left with fresh ideas and collaborations, eagerly looking forward to the remaining sessions. Stay tuned for more highlights from ACML 2024!