Sustainable Computing Architectures, Manufacturing, and Algorithms
Description: Computing is a major energy consumer; new computing technologies that depart widely from today’s methods are necessary. These methods require new hardware, materials, and algorithms for use.
Rationale: Leverages expertise and prominence at Northwestern in quantum computing, neuromorphic computing, manufacturing, and artificial intelligence
Landscape: Isolated efforts at US and international institutions lack holistic approach to multiple computing methods that encompass materials, manufacturing, and use
Vision: Northwestern achieves global renown for designing advanced computational systems that are manufacturable at scale with energy efficient processes, designed for recycling, and operate with orders of magnitude improvement in energy efficiency compared to today’s baseline.