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Adapting to Shifts in Techniques and Technologies
The speaker and Jane Shute have a long history of working on machine learning projects, evolving from traditional statistical methods to deep neural networks in the past 20 years. The shift in techniques led to a focus on building infrastructure for training and executing neural networks, with a particular emphasis on utilizing GPUs. This shift in approach was facilitated by the core services team's work, indicating a strong synergy between research and infrastructure development.