As the industry heads deeper into 2020, it’s obvious that the research and application of AI/ML architectures and solutions will continue to accelerate. In fact, a simple metric to support this claim can be measured by examining the number of AI/ML architecture and system design papers that were recently submitted for review to the 2020 Design Automation Conference (DAC). In 2018, 56 AI/ML architecture and system papers were submitted for review. That number grew to 92 submitted papers in 2019, and a jaw-dropping 194 submitted papers in 2020. In other words, AL/MI architecture and system design research is growing at an 86 percent CAGR! Perhaps this should not be too big of a surprise considering that McKinsey & Company recently reported that the AI semiconductor total available market will grow at 5x the rate compared to the non-AI semiconductor market. But AL/ML research wasn’t limited to only hardware architectures for DAC submissions. We also saw impressive growth of AI/ML algorithms and methodologies applied to traditional EDA problems, ranging from lithography hot spot detection to physical design and implementation.