Flexible AI-MCU For Fast Inference of Transformer Models At The Ultra-Low-Power Edge (ETH Zurich, U. Bologna)

Researchers from ETH Zurich and University of Bologna have released “CHIMERA: A Flexible and Scalable 3.1 TOPS/W AI-MCU with Transformer Accelerator and 563 Gb/s Shared-L2 Memory Subsystem with QoS Guarantees”. Abstract “We present Chimera, a flexible and scalable Microcontroller Unit (MCU) designed to accelerate real-time inference of rapidly evolving transformer-based models at the ultra-low-power edge... » read more The post Flexible AI-MCU For Fast Inference of Transformer Models At The Ultra-Low-Power Edge (ETH Zurich, U. Bologna) appeared first on Semiconductor Engineering .