The aim of the Distributed AI (DAI) conference is to serve as a collaborative platform that brings together researchers and practitioners from various fields, including general AI, multi-agent systems, distributed learning, and computational game theory. By providing a high-profile and internationally renowned forum, DAI facilitates research in both the theory and practice of distributed AI.
In order to maximize the benefits of face-to-face interactions, the Sixth DAI conference has chosen a pure format of offline in-person participation. This decision reflects the organizers' commitment to creating an environment conducive to deep engagement, networking, and knowledge exchange among attendees.
Conference date: Dec 18-22, 2024
Associate Professor, UC Berkeley Talk Title: Robotic Foundation Models 9:00 - 10:00, Dec. 21, 2024, UTC+8. Details |
Research Scientist, Google DeepMind Talk Title: Multi-Agent Learning in Games 13:30 - 14:30, Dec. 21, 2024, UTC+8. Details |
Professor, University of Alberta, and founder, Openmind Research Institute Talk Title: Decentralized Neural Networks 09:30 - 10:30, Dec. 20, 2024, UTC+8. Details |
Managing Director of Kunlun 2050 Research and Co-CEO of Skywork AI, Singapore Talk Title: Foundations of Foundation Models 13:30 - 14:30, Dec. 20, 2024, UTC+8. Details |