The IEEE International Solid-State Circuits Conference (ISSCC) is the premier global forum for solid-state circuit research in both academia and industry. This year's conference in San Francisco was the 65th annual, and drew over 3,000 attendees. Among the show's highlights were new circuit design techniques and system-on-chip innovations that stand to accelerate on-chip machine learning. And machine learning did indeed take center stage. In his opening keynote, David Patterson from Google and UC Berkeley explained that although we have reached the end of Dennard scaling and Moore's Law, we can continue to improve computational and energy efficiency by adopting domain-specific architectures.