ACML 2024: Celebrating Innovation and Advancing the future of Machine Learning

The 16th Asian Conference on Machine Learning (ACML 2024), hosted at VinUniversity from December 5-8, concluded with resounding success, leaving participants inspired and motivated to push the boundaries of machine learning research and application. Over four exciting days, the conference brought together academics, industry leaders, and enthusiasts to explore cutting-edge advancements, foster meaningful collaborations, and celebrate achievements in the field.

• 𝗣𝗹𝗲𝗻𝗮𝗿𝘆 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 #𝟭 – “AI Superhuman Reasoning for Math and Beyond” by Dr. Thang Luong (Google DeepMind), where he envisioned AI systems capable of solving Olympiad-level mathematical problems and even achieving Fields Medal-level reasoning.
• 𝗣𝗹𝗲𝗻𝗮𝗿𝘆 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 #𝟮 – “Learning as Distribution Matching: A Perspective through Optimal Transport” by Prof. Dinh Phung (Monash University), showcasing how Optimal Transport Theory drives advancements in robust machine learning and generative modeling.
• 𝗣𝗹𝗲𝗻𝗮𝗿𝘆 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 #𝟯 – “Making Large Language Model’s Knowledge More Accurate, Organized, Up-to-date and Fair” by Prof. Heng Ji (UIUC), highlighting the transformative role of Generative AI (GenAI) in domains like drug discovery and disaster forecasting.
• 𝗣𝗹𝗲𝗻𝗮𝗿𝘆 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 #𝟰 – “Neurosymbolic AI for Safety-Critical Agile Control” by Prof. Yisong Yue (Caltech), which explored Neurosymbolic AI’s potential for ensuring safety in autonomous systems.
• Industry Panel on the practical challenges and opportunities of GenAI was led by Dr. Le Duy Dung (VinUni), with participation from leading experts such as Prof. Heng Ji (UIUC), Dr. Nguyen Xuan Phong (FPT Software), Mr. Steven Brown (VPS Securities), Dr. Nguyen Kim Anh (VinBigData), and Dr. Sam Goundar (RMIT Hanoi). With the theme “Emerging Challenges and Opportunities in Generative AI: Real-World Impact through Responsible, Ethical, and Human-Centric Innovation”, the discussion provided a thought-provoking discussion on the transformative potential of GenAI and the collaborative efforts required to harness its capabilities responsibly.

Key Highlights from the panel:

• The Expanding Horizons of GenAI: The panel highlighted GenAI’s impressive progress in fields like finance, investment, science, and software, while urging people to explore its untapped potential.
• Beyond Technology: The Human-Centric Approach: The discussion emphasized complementing technological progress with education, ethical policies, and a human-centric approach to ensure GenAI is used responsibly and aligns with values of fairness, transparency, and inclusivity.
• Collaboration for a Better Future: The panel called for academia, industry, and government collaboration to establish a shared AI framework that fosters innovation while upholding ethical principles for lasting societal benefits.

The Industry Panel provided a compelling vision for the future of GenAI, inspiring attendees of ACML 2024 to think critically about their role in shaping its development.

The conclusion of ACML 2024 marked a celebration of collective achievements and the limitless potential of machine learning. As a host and platinum sponsor, VinUniversity is proud to have facilitated this premier event, reinforcing its commitment to advancing education, research, and innovation.