
Arthur Douillard is a DeepMind Distributed Learning Research Scientist, ranked #4 in Tech & Software (AI & ML Researchers) (Top 11%).
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Arthur Douillard is a Staff Research Scientist at DeepMind specializing in distributed learning for large-scale AI models. He publishes academic papers, technical reports, and commentary on resilient distributed pre-training, DiLoCo methods, and scaling AI across heterogeneous hardware and data centers. His content includes research announcements, conference presentations, and discussions on AI infrastructure, hardware failures, and the future of AI training. He engages with the AI research community on platforms like Twitter and LinkedIn, sharing insights from his work at DeepMind and promoting collaborative projects.
Distributed training is already part of our life as AI practitioners.
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