Compute-in-Memory for Embodied AI
| Chair | Co-Chair | |||
|  |  | |||
| An Guo City University of Hong Kong, China | Jintao Li University of Electronic Science and Technology of China, China | |||
Keywords: Compute-in-Memory (CIM), AI accelerator, Embodied AI, Neural Processing Unit (NPU), CIM Electronic Design Automation (EDA)
Special Session Information:
This session targets the perception-decision-control loop of embodied intelligence, focusing on key challenges and recent advances of Compute-in-Memory (CIM) for edge agents.
Topics of interest include but are not limited to:
CIM Macro
CIM-based accelerator
CIM-based algorithm-circuit-device co-design
FP/INT quantization for CIM
CIM system operator mapping
CIM system prototypes and benchmarking
CIM architecture design space exploration