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Efficient General Intelligence - When Novel Models Meet Customized Silicons

abstract background

Learn about the opportunities and progress for AI models and hardware accelerator co-design for efficient general intelligence (EGI), e.g. hierarchical memory transformer (EMT), lookup-table-based LLMs, and customized acceleration of the LLM memory processing pipeline. Hear the latest research from UCLA using AI/ML techniques and algorithmic methods to automate chip design to enable rapid design of deep learning models on customized silicon.

July 22, 2026 09:30 - 09:50

Jason Cong, PhD
Jason Cong, PhD

Volgenau Chair for Engineering Excellence Professor | UCLA Computer Science Department

Topic

AI Training & Inference

Session Type

Tech Talk

Related Product

ROCm

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