MIT Professor Song Han, Hardware Design Automation for Efficient Deep Learning, Samsung Forum

The mismatch between skyrocketing processing demand for AI and the end of Moore’s Law highlights the need for Co-Design of efficient ML algorithms and domain-specific hardware. Dr. Han introduces recent AutoML work learning optimal pruning and quantization strategies and neural network architectures for a target hardware architecture, and automating analog circuit design. Dr. Han shows his temporal shift module (TSM) for efficient video understanding, that offers 8x lower latency, 12x higher throughput than