Live Demonstration: SRAM Compute-In-Memory Based Visual & Aural Recognition System

We propose a live demonstration at AICAS’2023 for commercial SRAM compute-in-memory (CIM) accelerators. This live demonstration includes both visual and aural signal processing and classification performed by SRAM-based CIM engines. The visual part is a low-power face recognition platform, which can display and detect the audience’s faces in real-time. The aural part is a key word spotting engine, with which the audience can interact and control the device for designated tasks (such as "volume up" and "volume down"). This live demonstration is interactive and can bring a live feeling of energy efficiency improvement using the commercial CIM accelerators.