Neural Networks Insights
Diana discusses the structured appeal of deep neural networks and their applications in reinforcement learning. She highlights the existing gap in machine learning efficiency and the potential for hardware advancements to drive progress. Despite challenges like the memory wall bottleneck, she remains optimistic about future developments in the field.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The Case for Hardware-ML Model Co-design with Diana Marculescu - #391
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