Intelligence
We explore model structures and learning methods that support deeper reasoning, better judgment, and more dependable results.
Research
We investigate how artificial intelligence and its underlying hardware can be designed together to make systems more capable, efficient, and scalable.
Efficiency
We study how computation is spent, from training and inference to memory movement, with the goal of making each operation count.
Hardware
We look at how processors, memory, and model design shape one another, and where hardware can open new paths for intelligent systems.
Architectures
We consider the complete stack: new computational architectures designed around what models need and what the physical world allows.
Publications
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